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- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/plots/gpu_metrics.png +3 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/plots/gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/plots/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap__gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/gpu_samples.csv +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/inference_results.csv +89 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/phase_power_summary.csv +8 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/plots/gpu_metrics.png +3 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/plots/gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/config.json +62 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/phase_transitions.json +464 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/plots/gpu_metrics.png +3 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/plots/gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/plots/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap__gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/gpu_samples.csv +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/inference_results.csv +89 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/phase_power_summary.csv +8 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/config.json +62 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/phase_transitions.json +584 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/gpu_metrics.png +3 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap__gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/samples/gpu_samples.csv +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/samples/inference_results.csv +89 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/samples/phase_power_summary.csv +8 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/config.json +62 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/phase_transitions.json +578 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/plots/gpu_metrics.png +3 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/plots/gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/plots/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap__gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/samples/gpu_samples.csv +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/samples/inference_results.csv +89 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/samples/phase_power_summary.csv +8 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/config.json +62 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/phase_transitions.json +578 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/plots/gpu_metrics.png +3 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/plots/gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/plots/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap__gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/samples/gpu_samples.csv +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/samples/inference_results.csv +89 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/samples/phase_power_summary.csv +8 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/config.json +62 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/phase_transitions.json +464 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/gpu_samples.csv +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/inference_results.csv +89 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/config.json +62 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/phase_transitions.json +584 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/gpu_metrics.png +3 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap__gpu_power_interactive.html +0 -0
- outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/samples/gpu_samples.csv +0 -0
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/plots/gpu_metrics.png
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| 1 |
+
request_idx,input_tokens,output_tokens,prefill_time_ms,decode_time_ms,prompt_preview,output_preview
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| 2 |
+
0,7,101,288.6993885040283,1359.9967956542969,Give three tips for staying healthy.," 1. Eat a balanced diet rich in fruits, vegetables, whole grains, lean proteins,"
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| 3 |
+
1,7,128,16.715526580810547,1712.0647430419922,What are the three primary colors?," What are the three secondary colors? What are the three tertiary colors?
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| 4 |
+
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| 5 |
+
The t"
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| 6 |
+
2,7,128,17.0896053314209,1715.038776397705,Describe the structure of an atom.," Include the subatomic particles, their charges, and their locations within the "
|
| 7 |
+
3,7,128,18.5394287109375,1714.142084121704,How can we reduce air pollution?, What are the main sources of air pollution? What are the health effects of air
|
| 8 |
+
4,12,128,16.65472984313965,1726.452350616455,Describe a time when you had to make a difficult decision.," What was the decision, and what factors influenced your choice? How did you han"
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| 9 |
+
5,12,128,16.844987869262695,1712.5303745269775,"Identify the odd one out.
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| 10 |
+
Twitter, Instagram, Telegram",", WhatsApp
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| 11 |
+
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| 12 |
+
The odd one out is **Telegram**.
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| 13 |
+
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| 14 |
+
**Reasoning:**
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| 15 |
+
- **Twitter**, **In"
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| 16 |
+
6,18,128,20.160913467407227,1725.4307270050049,"Explain why the following fraction is equivalent to 1/4
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| 17 |
+
4/16","
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| 18 |
+
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| 19 |
+
To determine why the fraction \( \frac{4}{16} \) is equivalent to \( \frac{1}{"
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| 20 |
+
7,20,128,20.359277725219727,1718.0171012878418,Write a short story in third person narration about a protagonist who has to mak, The story should include a detailed description of the protagonist's surroundin
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| 21 |
+
8,9,128,18.579959869384766,1721.17018699646,Render a 3D model of a house," with a red roof and a blue door.
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| 22 |
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| 23 |
+
We are going to create a simple 3D model of a"
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| 24 |
+
9,21,128,18.580913543701172,1720.4480171203613,"Evaluate this sentence for spelling and grammar mistakes
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| 25 |
+
He finnished his meal a",".
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| 26 |
+
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| 27 |
+
The sentence contains several spelling and grammar errors. Here is the correc"
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| 28 |
+
10,6,128,20.226716995239258,1715.9957885742188,How did Julius Caesar die?," Julius Caesar died by **assassination**. On the Ides of March (March 15), 44 BC"
|
| 29 |
+
11,7,128,17.233610153198242,1660.0823402404785,What is the capital of France?," The capital of France is Paris. It is a major cultural, economic, and political"
|
| 30 |
+
12,14,128,18.31507682800293,1685.9118938446045,Generate a list of ten items a person might need for a camping trip,".
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| 31 |
+
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| 32 |
+
1. Tent
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| 33 |
+
2. Sleeping bag
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| 34 |
+
3. Sleeping pad or air mattress
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| 35 |
+
4. Headlamp or "
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| 36 |
+
13,7,128,17.832040786743164,1687.9949569702148,Discuss the causes of the Great Depression,", and how it affected the global economy.
|
| 37 |
+
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| 38 |
+
The Great Depression was a severe wor"
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| 39 |
+
14,19,128,18.061399459838867,1669.628381729126,"Classify the following into animals, plants, and minerals
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| 40 |
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Oak tree, copper ore, ",", gold, rose, iron ore, human, coral, salt, fern
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| 41 |
+
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| 42 |
+
Here is the classification of "
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| 43 |
+
15,11,128,17.52638816833496,1714.6883010864258,Explain the use of word embeddings in Natural Language Processing," (NLP), and how they help in representing text data.
|
| 44 |
+
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| 45 |
+
Word embeddings are a type"
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| 46 |
+
16,7,128,15.955924987792969,1708.508014678955,Describe the function of a computer motherboard,".
|
| 47 |
+
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| 48 |
+
The **motherboard** is the central component of a computer system that connec"
|
| 49 |
+
17,39,128,17.303466796875,1738.633632659912,"Reverse engineer this code to create a new version
|
| 50 |
+
def factorialize(num):
|
| 51 |
+
fact","
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| 52 |
+
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| 53 |
+
# This function is broken. Fix it.
|
| 54 |
+
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| 55 |
+
# The function is broken because it only i"
|
| 56 |
+
18,11,128,18.698930740356445,1707.7291011810303,Propose an ethical solution to the problem of data privacy," in the digital age.
|
| 57 |
+
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| 58 |
+
An ethical solution to the problem of data privacy in the "
|
| 59 |
+
19,12,128,17.9293155670166,1708.9743614196777,"Generate three verbs that mean the same as ""to apologize"""," and provide a synonym for each.
|
| 60 |
+
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| 61 |
+
Certainly! Here are three verbs that mean the "
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| 62 |
+
20,6,128,18.018484115600586,1712.3770713806152,What does DNA stand for?, What is the structure of DNA? What are the four nitrogenous bases in DNA? How d
|
| 63 |
+
21,12,128,16.408920288085938,1669.0542697906494,Compare and contrast the Cuban Missile Crisis and the Vietnam War.," What were the key differences and similarities between these two events?
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| 64 |
+
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| 65 |
+
The C"
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+
22,7,128,17.526626586914062,1690.199613571167,Generate a list of random words.," Here is a list of 10 random words:
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| 67 |
+
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| 68 |
+
1. Quibble
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| 69 |
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2. Glimmer
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| 70 |
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3. Mirth
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| 71 |
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4. Ze"
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| 72 |
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23,13,128,17.284870147705078,1694.5581436157227,"Transcribe the recording into text.
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| 73 |
+
Recording about the history of Waterloo",", Belgium, and the Battle of Waterloo.
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| 74 |
+
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| 75 |
+
[00:00:00] Welcome to the history of Wat"
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| 76 |
+
24,9,128,18.511533737182617,1677.5107383728027,Who is the world's most famous painter?," The title of the ""world's most famous painter"" can vary depending on cultural c"
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| 77 |
+
25,9,128,18.07403564453125,1683.572769165039,Explain the concept of cogging torque.," Cogging torque is a phenomenon observed in electric motors, particularly in per"
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| 78 |
+
26,8,128,19.01865005493164,1681.596279144287,Look up the boiling point of water.," What is the boiling point of water in degrees Celsius and degrees Fahrenheit?
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| 79 |
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| 80 |
+
"
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| 81 |
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27,10,128,18.023967742919922,1697.6165771484375,Describe the life and reign of King Charles II.," King Charles II of England (1630–1685) was the monarch of England, Scotland, an"
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| 82 |
+
28,14,128,16.749143600463867,1687.779188156128,"Find the area of a circle given its radius.
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| 83 |
+
Radius = 4"," cm
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| 84 |
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| 85 |
+
To find the area of a circle given its radius, we use the formula:
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| 86 |
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| 87 |
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$$
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| 88 |
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A = "
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| 89 |
+
29,13,128,17.757415771484375,1686.8412494659424,Identify the lines of longitude that divides North and South America.," Also, identify the lines of longitude that divide the Eastern and Western Hemis"
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/phase_power_summary.csv
ADDED
|
@@ -0,0 +1,8 @@
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|
|
|
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|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
| 1 |
+
phase,num_samples,duration_s,energy_j,power_avg_w,power_p95_w,power_peak_w,power_min_w
|
| 2 |
+
idle_mid,3656,36.560137,323.48896,8.848135,14.191,14.899,7.339
|
| 3 |
+
idle_post,3001,30.000042,1855.538693,61.833,116.58,301.261,7.321
|
| 4 |
+
idle_pre,3000,30.000118,1539.744197,51.32457,77.592,78.589,7.21
|
| 5 |
+
inference,2,0.019808,0.146932,7.418,7.418,7.418,7.418
|
| 6 |
+
inference_decode,7073,70.730077,15097.60692,213.454812,301.982,305.323,18.314
|
| 7 |
+
inference_idle,13501,135.010519,12587.97259,93.236879,210.275,305.323,76.964
|
| 8 |
+
inference_prefill,83,0.829413,74.607025,89.959819,199.7396,206.826,7.418
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/plots/gpu_metrics.png
ADDED
|
Git LFS Details
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r01/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/plots/gpu_power_interactive.html
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/config.json
ADDED
|
@@ -0,0 +1,62 @@
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| 1 |
+
{
|
| 2 |
+
"sampling_interval_ms": 10.0,
|
| 3 |
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"idle_pre_duration": 30.0,
|
| 4 |
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"idle_mid_duration": 30.0,
|
| 5 |
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"idle_post_duration": 30.0,
|
| 6 |
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"train_epochs": 3,
|
| 7 |
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"train_max_steps": null,
|
| 8 |
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"batch_size": 4,
|
| 9 |
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"gradient_accumulation_steps": 4,
|
| 10 |
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"learning_rate": 0.0002,
|
| 11 |
+
"lora_r": 16,
|
| 12 |
+
"lora_alpha": 32,
|
| 13 |
+
"lora_dropout": 0.05,
|
| 14 |
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"max_seq_length": 512,
|
| 15 |
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"train_max_seq_length": null,
|
| 16 |
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"use_4bit": false,
|
| 17 |
+
"use_bf16": true,
|
| 18 |
+
"inference_total_requests": 30,
|
| 19 |
+
"inference_interval_sec": 5.0,
|
| 20 |
+
"inference_pattern": "burst",
|
| 21 |
+
"inference_variable_min": 2.0,
|
| 22 |
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"inference_variable_max": 10.0,
|
| 23 |
+
"inference_burst_count": 3,
|
| 24 |
+
"inference_burst_gap": 1.0,
|
| 25 |
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"inference_burst_pause": 15.0,
|
| 26 |
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"inference_batch_size": 1,
|
| 27 |
+
"concurrent_batch_window_ms": 50.0,
|
| 28 |
+
"concurrent_base_rate_rps": 0.2,
|
| 29 |
+
"concurrent_burst_rate_rps": 3.0,
|
| 30 |
+
"concurrent_burst_start_s": 20.0,
|
| 31 |
+
"concurrent_burst_duration_s": 30.0,
|
| 32 |
+
"gen_max_new_tokens": 128,
|
| 33 |
+
"gen_temperature": 0.0,
|
| 34 |
+
"gen_do_sample": false,
|
| 35 |
+
"prompt_shuffle": false,
|
| 36 |
+
"seed": 44,
|
| 37 |
+
"inference_duration_sec": null,
|
| 38 |
+
"prompt_set": "alpaca",
|
| 39 |
+
"strict_datasets": true,
|
| 40 |
+
"clock_lock_gpu": null,
|
| 41 |
+
"clock_lock_mem": null,
|
| 42 |
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"ramp_enabled": false,
|
| 43 |
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"ramp_start_w": null,
|
| 44 |
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"ramp_end_w": null,
|
| 45 |
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"ramp_steps": 5,
|
| 46 |
+
"ramp_step_duration": 3.0,
|
| 47 |
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"cuda_index": 0,
|
| 48 |
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"gpu_physical_index": 0,
|
| 49 |
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"device": "cuda:0",
|
| 50 |
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"skip_training": true,
|
| 51 |
+
"skip_inference": false,
|
| 52 |
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"model": "qwen3-4b",
|
| 53 |
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"power_cap": null,
|
| 54 |
+
"gpu_info": {
|
| 55 |
+
"gpu_name": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition",
|
| 56 |
+
"tdp_w": 600,
|
| 57 |
+
"memory_total_mb": 97887,
|
| 58 |
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"driver_version": "580.82.07",
|
| 59 |
+
"cuda_version": "13.0"
|
| 60 |
+
},
|
| 61 |
+
"experiment_timestamp": "2026-02-18T00:00:16.241483"
|
| 62 |
+
}
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/phase_transitions.json
ADDED
|
@@ -0,0 +1,464 @@
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|
| 1 |
+
[
|
| 2 |
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{
|
| 3 |
+
"timestamp": "2026-02-17T23:55:12.528118",
|
| 4 |
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"timestamp_ms": 1771340112528.132,
|
| 5 |
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"phase": "idle_pre",
|
| 6 |
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|
| 7 |
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},
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| 8 |
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{
|
| 9 |
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"timestamp": "2026-02-17T23:55:42.528254",
|
| 10 |
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"timestamp_ms": 1771340142528.2942,
|
| 11 |
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"phase": "train",
|
| 12 |
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"sub_phase": "skipped"
|
| 13 |
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},
|
| 14 |
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{
|
| 15 |
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"timestamp": "2026-02-17T23:55:42.528482",
|
| 16 |
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"timestamp_ms": 1771340142528.4917,
|
| 17 |
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"phase": "idle_mid",
|
| 18 |
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"sub_phase": ""
|
| 19 |
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},
|
| 20 |
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{
|
| 21 |
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"timestamp": "2026-02-17T23:56:12.528632",
|
| 22 |
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"timestamp_ms": 1771340172528.6711,
|
| 23 |
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"phase": "inference",
|
| 24 |
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"sub_phase": "start"
|
| 25 |
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},
|
| 26 |
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{
|
| 27 |
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"timestamp": "2026-02-17T23:56:16.627236",
|
| 28 |
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"timestamp_ms": 1771340176627.248,
|
| 29 |
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"phase": "inference",
|
| 30 |
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"sub_phase": "session_start_pattern_burst"
|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
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"timestamp": "2026-02-17T23:56:16.627296",
|
| 34 |
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"timestamp_ms": 1771340176627.2979,
|
| 35 |
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"phase": "inference",
|
| 36 |
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"sub_phase": "burst_1_start"
|
| 37 |
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},
|
| 38 |
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{
|
| 39 |
+
"timestamp": "2026-02-17T23:56:16.645879",
|
| 40 |
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"timestamp_ms": 1771340176645.8918,
|
| 41 |
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"phase": "inference",
|
| 42 |
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"sub_phase": "req_0_prefill"
|
| 43 |
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},
|
| 44 |
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{
|
| 45 |
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"timestamp": "2026-02-17T23:56:16.933734",
|
| 46 |
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| 412 |
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"timestamp_ms": 1771340378757.136,
|
| 413 |
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"phase": "inference",
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| 414 |
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"sub_phase": "burst_10_start"
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| 415 |
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},
|
| 416 |
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{
|
| 417 |
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"timestamp": "2026-02-17T23:59:38.758629",
|
| 418 |
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"timestamp_ms": 1771340378758.6453,
|
| 419 |
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"phase": "inference",
|
| 420 |
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"sub_phase": "req_27_prefill"
|
| 421 |
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},
|
| 422 |
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{
|
| 423 |
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"timestamp": "2026-02-17T23:59:38.779674",
|
| 424 |
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"timestamp_ms": 1771340378779.6848,
|
| 425 |
+
"phase": "inference",
|
| 426 |
+
"sub_phase": "req_27_decode"
|
| 427 |
+
},
|
| 428 |
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{
|
| 429 |
+
"timestamp": "2026-02-17T23:59:41.588721",
|
| 430 |
+
"timestamp_ms": 1771340381588.754,
|
| 431 |
+
"phase": "inference",
|
| 432 |
+
"sub_phase": "req_28_prefill"
|
| 433 |
+
},
|
| 434 |
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{
|
| 435 |
+
"timestamp": "2026-02-17T23:59:41.607903",
|
| 436 |
+
"timestamp_ms": 1771340381607.914,
|
| 437 |
+
"phase": "inference",
|
| 438 |
+
"sub_phase": "req_28_decode"
|
| 439 |
+
},
|
| 440 |
+
{
|
| 441 |
+
"timestamp": "2026-02-17T23:59:44.409318",
|
| 442 |
+
"timestamp_ms": 1771340384409.3535,
|
| 443 |
+
"phase": "inference",
|
| 444 |
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"sub_phase": "req_29_prefill"
|
| 445 |
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},
|
| 446 |
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{
|
| 447 |
+
"timestamp": "2026-02-17T23:59:44.427162",
|
| 448 |
+
"timestamp_ms": 1771340384427.1707,
|
| 449 |
+
"phase": "inference",
|
| 450 |
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"sub_phase": "req_29_decode"
|
| 451 |
+
},
|
| 452 |
+
{
|
| 453 |
+
"timestamp": "2026-02-17T23:59:46.234822",
|
| 454 |
+
"timestamp_ms": 1771340386234.8296,
|
| 455 |
+
"phase": "inference",
|
| 456 |
+
"sub_phase": "session_finished"
|
| 457 |
+
},
|
| 458 |
+
{
|
| 459 |
+
"timestamp": "2026-02-17T23:59:46.234916",
|
| 460 |
+
"timestamp_ms": 1771340386234.9182,
|
| 461 |
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"phase": "idle_post",
|
| 462 |
+
"sub_phase": ""
|
| 463 |
+
}
|
| 464 |
+
]
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/plots/gpu_metrics.png
ADDED
|
Git LFS Details
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/plots/gpu_power_interactive.html
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/plots/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap__gpu_power_interactive.html
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/gpu_samples.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/inference_results.csv
ADDED
|
@@ -0,0 +1,89 @@
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|
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|
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|
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|
|
|
|
| 1 |
+
request_idx,input_tokens,output_tokens,prefill_time_ms,decode_time_ms,prompt_preview,output_preview
|
| 2 |
+
0,7,101,283.6127281188965,1436.2773895263672,Give three tips for staying healthy.," 1. Eat a balanced diet rich in fruits, vegetables, whole grains, lean proteins,"
|
| 3 |
+
1,7,128,18.119335174560547,1800.0590801239014,What are the three primary colors?," What are the three secondary colors? What are the three tertiary colors?
|
| 4 |
+
|
| 5 |
+
The t"
|
| 6 |
+
2,7,128,18.97430419921875,1793.1773662567139,Describe the structure of an atom.," Include the subatomic particles, their charges, and their locations within the "
|
| 7 |
+
3,7,128,18.346309661865234,1794.7063446044922,How can we reduce air pollution?, What are the main sources of air pollution? What are the health effects of air
|
| 8 |
+
4,12,128,18.744707107543945,1776.087760925293,Describe a time when you had to make a difficult decision.," What was the decision, and what factors influenced your choice? How did you han"
|
| 9 |
+
5,12,128,18.735647201538086,1781.609296798706,"Identify the odd one out.
|
| 10 |
+
Twitter, Instagram, Telegram",", WhatsApp
|
| 11 |
+
|
| 12 |
+
The odd one out is **Telegram**.
|
| 13 |
+
|
| 14 |
+
**Reasoning:**
|
| 15 |
+
- **Twitter**, **In"
|
| 16 |
+
6,18,128,20.136117935180664,1791.236400604248,"Explain why the following fraction is equivalent to 1/4
|
| 17 |
+
4/16","
|
| 18 |
+
|
| 19 |
+
To determine why the fraction \( \frac{4}{16} \) is equivalent to \( \frac{1}{"
|
| 20 |
+
7,20,128,19.29020881652832,1794.283390045166,Write a short story in third person narration about a protagonist who has to mak, The story should include a detailed description of the protagonist's surroundin
|
| 21 |
+
8,9,128,18.375158309936523,1799.7727394104004,Render a 3D model of a house," with a red roof and a blue door.
|
| 22 |
+
|
| 23 |
+
We are going to create a simple 3D model of a"
|
| 24 |
+
9,21,128,19.535064697265625,1806.654930114746,"Evaluate this sentence for spelling and grammar mistakes
|
| 25 |
+
He finnished his meal a",".
|
| 26 |
+
|
| 27 |
+
The sentence contains several spelling and grammar errors. Here is the correc"
|
| 28 |
+
10,6,128,18.681049346923828,1769.6294784545898,How did Julius Caesar die?," Julius Caesar died by **assassination**. On the Ides of March (March 15), 44 BC"
|
| 29 |
+
11,7,128,18.928050994873047,1792.3924922943115,What is the capital of France?," The capital of France is Paris. It is a major cultural, economic, and political"
|
| 30 |
+
12,14,128,19.122600555419922,1772.7911472320557,Generate a list of ten items a person might need for a camping trip,".
|
| 31 |
+
|
| 32 |
+
1. Tent
|
| 33 |
+
2. Sleeping bag
|
| 34 |
+
3. Sleeping pad or air mattress
|
| 35 |
+
4. Headlamp or "
|
| 36 |
+
13,7,128,17.729997634887695,1785.846471786499,Discuss the causes of the Great Depression,", and how it affected the global economy.
|
| 37 |
+
|
| 38 |
+
The Great Depression was a severe wor"
|
| 39 |
+
14,19,128,18.465518951416016,1790.1742458343506,"Classify the following into animals, plants, and minerals
|
| 40 |
+
Oak tree, copper ore, ",", gold, rose, iron ore, human, coral, salt, fern
|
| 41 |
+
|
| 42 |
+
Here is the classification of "
|
| 43 |
+
15,11,128,19.545793533325195,1794.365644454956,Explain the use of word embeddings in Natural Language Processing," (NLP), and how they help in representing text data.
|
| 44 |
+
|
| 45 |
+
Word embeddings are a type"
|
| 46 |
+
16,7,128,19.707441329956055,1799.4892597198486,Describe the function of a computer motherboard,".
|
| 47 |
+
|
| 48 |
+
The **motherboard** is the central component of a computer system that connec"
|
| 49 |
+
17,39,128,19.283533096313477,1812.2363090515137,"Reverse engineer this code to create a new version
|
| 50 |
+
def factorialize(num):
|
| 51 |
+
fact","
|
| 52 |
+
|
| 53 |
+
# This function is broken. Fix it.
|
| 54 |
+
|
| 55 |
+
# The function is broken because it only i"
|
| 56 |
+
18,11,128,19.86861228942871,1827.6395797729492,Propose an ethical solution to the problem of data privacy," in the digital age.
|
| 57 |
+
|
| 58 |
+
An ethical solution to the problem of data privacy in the "
|
| 59 |
+
19,12,128,20.2176570892334,1802.3042678833008,"Generate three verbs that mean the same as ""to apologize"""," and provide a synonym for each.
|
| 60 |
+
|
| 61 |
+
Certainly! Here are three verbs that mean the "
|
| 62 |
+
20,6,128,18.80812644958496,1828.0580043792725,What does DNA stand for?, What is the structure of DNA? What are the four nitrogenous bases in DNA? How d
|
| 63 |
+
21,12,128,21.65389060974121,1822.5724697113037,Compare and contrast the Cuban Missile Crisis and the Vietnam War.," What were the key differences and similarities between these two events?
|
| 64 |
+
|
| 65 |
+
The C"
|
| 66 |
+
22,7,128,18.967628479003906,1803.743839263916,Generate a list of random words.," Here is a list of 10 random words:
|
| 67 |
+
|
| 68 |
+
1. Quibble
|
| 69 |
+
2. Glimmer
|
| 70 |
+
3. Mirth
|
| 71 |
+
4. Ze"
|
| 72 |
+
23,13,128,18.6312198638916,1837.2910022735596,"Transcribe the recording into text.
|
| 73 |
+
Recording about the history of Waterloo",", Belgium, and the Battle of Waterloo.
|
| 74 |
+
|
| 75 |
+
[00:00:00] Welcome to the history of Wat"
|
| 76 |
+
24,9,128,18.420934677124023,1822.2544193267822,Who is the world's most famous painter?," The title of the ""world's most famous painter"" can vary depending on cultural c"
|
| 77 |
+
25,9,128,17.673254013061523,1824.397087097168,Explain the concept of cogging torque.," Cogging torque is a phenomenon observed in electric motors, particularly in per"
|
| 78 |
+
26,8,128,17.854928970336914,1820.756435394287,Look up the boiling point of water.," What is the boiling point of water in degrees Celsius and degrees Fahrenheit?
|
| 79 |
+
|
| 80 |
+
"
|
| 81 |
+
27,10,128,20.845651626586914,1807.5246810913086,Describe the life and reign of King Charles II.," King Charles II of England (1630–1685) was the monarch of England, Scotland, an"
|
| 82 |
+
28,14,128,18.919944763183594,1799.764633178711,"Find the area of a circle given its radius.
|
| 83 |
+
Radius = 4"," cm
|
| 84 |
+
|
| 85 |
+
To find the area of a circle given its radius, we use the formula:
|
| 86 |
+
|
| 87 |
+
$$
|
| 88 |
+
A = "
|
| 89 |
+
29,13,128,17.641544342041016,1807.4159622192383,Identify the lines of longitude that divides North and South America.," Also, identify the lines of longitude that divide the Eastern and Western Hemis"
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/phase_power_summary.csv
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
phase,num_samples,duration_s,energy_j,power_avg_w,power_p95_w,power_peak_w,power_min_w
|
| 2 |
+
idle_mid,3409,34.090004,306.128442,8.980021,14.408,14.601,7.715
|
| 3 |
+
idle_post,3000,29.989978,1859.001658,61.9695,125.166,289.524,7.921
|
| 4 |
+
idle_pre,3001,30.010068,1595.742036,53.173446,78.198,78.894,7.546
|
| 5 |
+
inference,2,0.01999,0.278355,13.925,13.925,13.925,13.925
|
| 6 |
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inference_decode,7372,73.720067,15493.139441,210.161959,291.924,295.487,26.544
|
| 7 |
+
inference_idle,13503,135.030246,12592.944731,93.260338,200.798,294.094,77.025
|
| 8 |
+
inference_prefill,84,0.839727,79.022689,94.105583,202.159,210.361,13.925
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/config.json
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
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{
|
| 2 |
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"sampling_interval_ms": 10.0,
|
| 3 |
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"idle_pre_duration": 30.0,
|
| 4 |
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"idle_mid_duration": 30.0,
|
| 5 |
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"idle_post_duration": 30.0,
|
| 6 |
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"train_epochs": 3,
|
| 7 |
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"train_max_steps": null,
|
| 8 |
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"batch_size": 4,
|
| 9 |
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"gradient_accumulation_steps": 4,
|
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"learning_rate": 0.0002,
|
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"lora_r": 16,
|
| 12 |
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"lora_alpha": 32,
|
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"lora_dropout": 0.05,
|
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"max_seq_length": 512,
|
| 15 |
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"train_max_seq_length": null,
|
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"use_4bit": false,
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"use_bf16": true,
|
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"inference_total_requests": 30,
|
| 19 |
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"inference_interval_sec": 5.0,
|
| 20 |
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"inference_pattern": "concurrent_burst",
|
| 21 |
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"inference_variable_min": 2.0,
|
| 22 |
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"inference_variable_max": 10.0,
|
| 23 |
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"inference_burst_count": 3,
|
| 24 |
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"inference_burst_gap": 1.0,
|
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"inference_burst_pause": 15.0,
|
| 26 |
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"inference_batch_size": 1,
|
| 27 |
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"concurrent_batch_window_ms": 50.0,
|
| 28 |
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"concurrent_base_rate_rps": 0.2,
|
| 29 |
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"concurrent_burst_rate_rps": 3.0,
|
| 30 |
+
"concurrent_burst_start_s": 20.0,
|
| 31 |
+
"concurrent_burst_duration_s": 30.0,
|
| 32 |
+
"gen_max_new_tokens": 128,
|
| 33 |
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"gen_temperature": 0.0,
|
| 34 |
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"gen_do_sample": false,
|
| 35 |
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"prompt_shuffle": false,
|
| 36 |
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"seed": 44,
|
| 37 |
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"inference_duration_sec": null,
|
| 38 |
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"prompt_set": "alpaca",
|
| 39 |
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"strict_datasets": true,
|
| 40 |
+
"clock_lock_gpu": null,
|
| 41 |
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"clock_lock_mem": null,
|
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"ramp_enabled": false,
|
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"ramp_start_w": null,
|
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"ramp_end_w": null,
|
| 45 |
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"ramp_steps": 5,
|
| 46 |
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"ramp_step_duration": 3.0,
|
| 47 |
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"cuda_index": 0,
|
| 48 |
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"gpu_physical_index": 0,
|
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"device": "cuda:0",
|
| 50 |
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"skip_training": true,
|
| 51 |
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"skip_inference": false,
|
| 52 |
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"model": "qwen3-4b",
|
| 53 |
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"power_cap": null,
|
| 54 |
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"gpu_info": {
|
| 55 |
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"gpu_name": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition",
|
| 56 |
+
"tdp_w": 600,
|
| 57 |
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"memory_total_mb": 97887,
|
| 58 |
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"driver_version": "580.82.07",
|
| 59 |
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"cuda_version": "13.0"
|
| 60 |
+
},
|
| 61 |
+
"experiment_timestamp": "2026-02-18T00:03:06.281641"
|
| 62 |
+
}
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/phase_transitions.json
ADDED
|
@@ -0,0 +1,584 @@
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|
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|
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|
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| 1 |
+
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| 2 |
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| 3 |
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| 4 |
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| 7 |
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| 10 |
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| 11 |
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| 12 |
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| 13 |
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| 14 |
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| 15 |
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| 16 |
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| 17 |
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| 18 |
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| 19 |
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| 20 |
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| 21 |
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| 22 |
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| 23 |
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| 24 |
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| 25 |
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| 28 |
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| 29 |
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| 30 |
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| 31 |
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| 32 |
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| 33 |
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+
{
|
| 501 |
+
"timestamp": "2026-02-18T00:02:29.521053",
|
| 502 |
+
"timestamp_ms": 1771340549521.0593,
|
| 503 |
+
"phase": "inference",
|
| 504 |
+
"sub_phase": "batch_27_dispatch_n1"
|
| 505 |
+
},
|
| 506 |
+
{
|
| 507 |
+
"timestamp": "2026-02-18T00:02:29.521298",
|
| 508 |
+
"timestamp_ms": 1771340549521.302,
|
| 509 |
+
"phase": "inference",
|
| 510 |
+
"sub_phase": "batch_27_prefill"
|
| 511 |
+
},
|
| 512 |
+
{
|
| 513 |
+
"timestamp": "2026-02-18T00:02:29.535042",
|
| 514 |
+
"timestamp_ms": 1771340549535.0496,
|
| 515 |
+
"phase": "inference",
|
| 516 |
+
"sub_phase": "batch_27_decode"
|
| 517 |
+
},
|
| 518 |
+
{
|
| 519 |
+
"timestamp": "2026-02-18T00:02:31.211367",
|
| 520 |
+
"timestamp_ms": 1771340551211.3738,
|
| 521 |
+
"phase": "inference",
|
| 522 |
+
"sub_phase": "batch_28_dispatch_n1"
|
| 523 |
+
},
|
| 524 |
+
{
|
| 525 |
+
"timestamp": "2026-02-18T00:02:31.211645",
|
| 526 |
+
"timestamp_ms": 1771340551211.65,
|
| 527 |
+
"phase": "inference",
|
| 528 |
+
"sub_phase": "batch_28_prefill"
|
| 529 |
+
},
|
| 530 |
+
{
|
| 531 |
+
"timestamp": "2026-02-18T00:02:31.225826",
|
| 532 |
+
"timestamp_ms": 1771340551225.8398,
|
| 533 |
+
"phase": "inference",
|
| 534 |
+
"sub_phase": "batch_28_decode"
|
| 535 |
+
},
|
| 536 |
+
{
|
| 537 |
+
"timestamp": "2026-02-18T00:02:32.896856",
|
| 538 |
+
"timestamp_ms": 1771340552896.863,
|
| 539 |
+
"phase": "inference",
|
| 540 |
+
"sub_phase": "batch_29_dispatch_n1"
|
| 541 |
+
},
|
| 542 |
+
{
|
| 543 |
+
"timestamp": "2026-02-18T00:02:32.897137",
|
| 544 |
+
"timestamp_ms": 1771340552897.1414,
|
| 545 |
+
"phase": "inference",
|
| 546 |
+
"sub_phase": "batch_29_prefill"
|
| 547 |
+
},
|
| 548 |
+
{
|
| 549 |
+
"timestamp": "2026-02-18T00:02:32.911413",
|
| 550 |
+
"timestamp_ms": 1771340552911.4219,
|
| 551 |
+
"phase": "inference",
|
| 552 |
+
"sub_phase": "batch_29_decode"
|
| 553 |
+
},
|
| 554 |
+
{
|
| 555 |
+
"timestamp": "2026-02-18T00:02:34.582275",
|
| 556 |
+
"timestamp_ms": 1771340554582.2822,
|
| 557 |
+
"phase": "inference",
|
| 558 |
+
"sub_phase": "batch_30_dispatch_n1"
|
| 559 |
+
},
|
| 560 |
+
{
|
| 561 |
+
"timestamp": "2026-02-18T00:02:34.582556",
|
| 562 |
+
"timestamp_ms": 1771340554582.5603,
|
| 563 |
+
"phase": "inference",
|
| 564 |
+
"sub_phase": "batch_30_prefill"
|
| 565 |
+
},
|
| 566 |
+
{
|
| 567 |
+
"timestamp": "2026-02-18T00:02:34.596982",
|
| 568 |
+
"timestamp_ms": 1771340554596.99,
|
| 569 |
+
"phase": "inference",
|
| 570 |
+
"sub_phase": "batch_30_decode"
|
| 571 |
+
},
|
| 572 |
+
{
|
| 573 |
+
"timestamp": "2026-02-18T00:02:36.278006",
|
| 574 |
+
"timestamp_ms": 1771340556278.0127,
|
| 575 |
+
"phase": "inference",
|
| 576 |
+
"sub_phase": "session_finished"
|
| 577 |
+
},
|
| 578 |
+
{
|
| 579 |
+
"timestamp": "2026-02-18T00:02:36.278088",
|
| 580 |
+
"timestamp_ms": 1771340556278.0903,
|
| 581 |
+
"phase": "idle_post",
|
| 582 |
+
"sub_phase": ""
|
| 583 |
+
}
|
| 584 |
+
]
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/gpu_metrics.png
ADDED
|
Git LFS Details
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/gpu_power_interactive.html
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap__gpu_power_interactive.html
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/samples/gpu_samples.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/samples/inference_results.csv
ADDED
|
@@ -0,0 +1,89 @@
|
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|
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|
|
|
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|
|
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|
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|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
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|
|
|
|
|
|
|
|
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
request_idx,batch_id,batch_size,arrival_rel_s,dispatch_rel_s,finish_rel_s,queue_wait_ms,e2e_latency_ms,input_tokens,output_tokens,prefill_time_ms,decode_time_ms,prompt_preview,output_preview
|
| 2 |
+
0,1,1,2.625771,2.62996,4.338445,4.18853759765625,1712.6736640930176,7,101,288.85483741760254,1371.1276054382324,Give three tips for staying healthy.," 1. Eat a balanced diet rich in fruits, vegetables, whole grains, lean proteins,"
|
| 3 |
+
1,2,1,6.529896,6.532369,8.248158,2.472400665283203,1718.2621955871582,7,128,16.22319221496582,1697.500228881836,What are the three primary colors?," What are the three secondary colors? What are the three tertiary colors?
|
| 4 |
+
|
| 5 |
+
The t"
|
| 6 |
+
2,3,1,16.433731,16.435742,18.148279,2.0112991333007812,1714.5483493804932,7,128,16.865968704223633,1693.385362625122,Describe the structure of an atom.," Include the subatomic particles, their charges, and their locations within the "
|
| 7 |
+
3,4,1,17.405695,18.148329,19.844826,742.6333427429199,2439.1303062438965,7,128,13.974666595458984,1681.8983554840088,How can we reduce air pollution?, What are the main sources of air pollution? What are the health effects of air
|
| 8 |
+
4,5,1,18.681186,19.844868,21.55003,1163.681983947754,2868.8437938690186,12,128,13.901710510253906,1690.6487941741943,Describe a time when you had to make a difficult decision.," What was the decision, and what factors influenced your choice? How did you han"
|
| 9 |
+
5,6,1,18.828831,21.550069,23.253386,2721.238374710083,4424.5545864105225,12,128,13.7481689453125,1688.9750957489014,"Identify the odd one out.
|
| 10 |
+
Twitter, Instagram, Telegram",", WhatsApp
|
| 11 |
+
|
| 12 |
+
The odd one out is **Telegram**.
|
| 13 |
+
|
| 14 |
+
**Reasoning:**
|
| 15 |
+
- **Twitter**, **In"
|
| 16 |
+
6,7,1,19.449003,23.253427,24.950709,3804.424285888672,5501.706123352051,18,128,15.58995246887207,1681.0672283172607,"Explain why the following fraction is equivalent to 1/4
|
| 17 |
+
4/16","
|
| 18 |
+
|
| 19 |
+
To determine why the fraction \( \frac{4}{16} \) is equivalent to \( \frac{1}{"
|
| 20 |
+
7,8,1,19.493226,24.95075,26.649563,5457.523822784424,7156.337022781372,20,128,14.73689079284668,1683.4537982940674,Write a short story in third person narration about a protagonist who has to mak, The story should include a detailed description of the protagonist's surroundin
|
| 21 |
+
8,9,1,20.240319,26.649603,28.360078,6409.283876419067,8119.759082794189,9,128,13.739585876464844,1696.1898803710938,Render a 3D model of a house," with a red roof and a blue door.
|
| 22 |
+
|
| 23 |
+
We are going to create a simple 3D model of a"
|
| 24 |
+
9,10,1,21.758887,28.360118,30.069808,6601.231098175049,8310.920715332031,21,128,14.266014099121094,1694.7705745697021,"Evaluate this sentence for spelling and grammar mistakes
|
| 25 |
+
He finnished his meal a",".
|
| 26 |
+
|
| 27 |
+
The sentence contains several spelling and grammar errors. Here is the correc"
|
| 28 |
+
10,11,1,22.153078,30.06987,31.761433,7916.792392730713,9608.355045318604,6,128,14.090299606323242,1676.7895221710205,How did Julius Caesar die?," Julius Caesar died by **assassination**. On the Ides of March (March 15), 44 BC"
|
| 29 |
+
11,12,1,22.311578,31.761478,33.462602,9449.900150299072,11151.024341583252,7,128,13.683080673217773,1686.8462562561035,What is the capital of France?," The capital of France is Paris. It is a major cultural, economic, and political"
|
| 30 |
+
12,13,1,22.484669,33.462641,35.165339,10977.97179222107,12680.669784545898,14,128,13.731241226196289,1688.3594989776611,Generate a list of ten items a person might need for a camping trip,".
|
| 31 |
+
|
| 32 |
+
1. Tent
|
| 33 |
+
2. Sleeping bag
|
| 34 |
+
3. Sleeping pad or air mattress
|
| 35 |
+
4. Headlamp or "
|
| 36 |
+
13,14,1,22.876475,35.165379,36.867459,12288.904428482056,13990.984201431274,7,128,13.779878616333008,1687.736988067627,Discuss the causes of the Great Depression,", and how it affected the global economy.
|
| 37 |
+
|
| 38 |
+
The Great Depression was a severe wor"
|
| 39 |
+
14,15,1,23.008043,36.867498,38.559348,13859.455347061157,15551.305770874023,19,128,14.928817749023438,1676.3033866882324,"Classify the following into animals, plants, and minerals
|
| 40 |
+
Oak tree, copper ore, ",", gold, rose, iron ore, human, coral, salt, fern
|
| 41 |
+
|
| 42 |
+
Here is the classification of "
|
| 43 |
+
15,16,1,23.033509,38.559388,40.231938,15525.87914466858,17198.429107666016,11,128,13.630390167236328,1658.3130359649658,Explain the use of word embeddings in Natural Language Processing," (NLP), and how they help in representing text data.
|
| 44 |
+
|
| 45 |
+
Word embeddings are a type"
|
| 46 |
+
16,17,1,23.647557,40.23198,41.932805,16584.422826766968,18285.247564315796,7,128,14.513015747070312,1685.5659484863281,Describe the function of a computer motherboard,".
|
| 47 |
+
|
| 48 |
+
The **motherboard** is the central component of a computer system that connec"
|
| 49 |
+
17,18,1,23.967655,41.932849,43.621768,17965.193271636963,19654.112339019775,39,128,14.226198196411133,1674.0379333496094,"Reverse engineer this code to create a new version
|
| 50 |
+
def factorialize(num):
|
| 51 |
+
fact","
|
| 52 |
+
|
| 53 |
+
# This function is broken. Fix it.
|
| 54 |
+
|
| 55 |
+
# The function is broken because it only i"
|
| 56 |
+
18,19,1,24.007254,43.621807,45.322128,19614.553689956665,21314.874410629272,11,128,13.523101806640625,1686.2280368804932,Propose an ethical solution to the problem of data privacy," in the digital age.
|
| 57 |
+
|
| 58 |
+
An ethical solution to the problem of data privacy in the "
|
| 59 |
+
19,20,1,24.031468,45.322168,47.005651,21290.70019721985,22974.183559417725,12,128,13.524770736694336,1669.391393661499,"Generate three verbs that mean the same as ""to apologize"""," and provide a synonym for each.
|
| 60 |
+
|
| 61 |
+
Certainly! Here are three verbs that mean the "
|
| 62 |
+
20,21,1,24.064604,47.005689,48.706111,22941.08510017395,24641.507387161255,6,128,14.216184616088867,1685.6777667999268,What does DNA stand for?, What is the structure of DNA? What are the four nitrogenous bases in DNA? How d
|
| 63 |
+
21,22,1,25.128708,48.70615,50.397227,23577.441453933716,25268.518447875977,12,128,14.795303344726562,1675.694465637207,Compare and contrast the Cuban Missile Crisis and the Vietnam War.," What were the key differences and similarities between these two events?
|
| 64 |
+
|
| 65 |
+
The C"
|
| 66 |
+
22,23,1,25.166699,50.397266,52.088761,25230.567455291748,26922.062158584595,7,128,13.520240783691406,1677.4249076843262,Generate a list of random words.," Here is a list of 10 random words:
|
| 67 |
+
|
| 68 |
+
1. Quibble
|
| 69 |
+
2. Glimmer
|
| 70 |
+
3. Mirth
|
| 71 |
+
4. Ze"
|
| 72 |
+
23,24,1,25.493924,52.0888,53.779244,26594.875812530518,28285.319805145264,13,128,13.657093048095703,1676.2218475341797,"Transcribe the recording into text.
|
| 73 |
+
Recording about the history of Waterloo",", Belgium, and the Battle of Waterloo.
|
| 74 |
+
|
| 75 |
+
[00:00:00] Welcome to the history of Wat"
|
| 76 |
+
24,25,1,26.658005,53.779285,55.455928,27121.2797164917,28797.92308807373,9,128,14.807701110839844,1661.243200302124,Who is the world's most famous painter?," The title of the ""world's most famous painter"" can vary depending on cultural c"
|
| 77 |
+
25,26,1,26.669882,55.455967,57.149486,28786.08536720276,30479.60352897644,9,128,13.948440551757812,1679.0382862091064,Explain the concept of cogging torque.," Cogging torque is a phenomenon observed in electric motors, particularly in per"
|
| 78 |
+
26,27,1,26.832403,57.149524,58.839798,30317.121267318726,32007.394790649414,8,128,13.616085052490234,1676.109790802002,Look up the boiling point of water.," What is the boiling point of water in degrees Celsius and degrees Fahrenheit?
|
| 79 |
+
|
| 80 |
+
"
|
| 81 |
+
27,28,1,27.04864,58.839838,60.52528,31791.198015213013,33476.63998603821,10,128,14.049768447875977,1670.8052158355713,Describe the life and reign of King Charles II.," King Charles II of England (1630–1685) was the monarch of England, Scotland, an"
|
| 82 |
+
28,29,1,27.877835,60.525327,62.210706,32647.49240875244,34332.870960235596,14,128,14.142274856567383,1670.6433296203613,"Find the area of a circle given its radius.
|
| 83 |
+
Radius = 4"," cm
|
| 84 |
+
|
| 85 |
+
To find the area of a circle given its radius, we use the formula:
|
| 86 |
+
|
| 87 |
+
$$
|
| 88 |
+
A = "
|
| 89 |
+
29,30,1,27.947497,62.210747,63.906441,34263.25011253357,35958.94479751587,13,128,14.29891586303711,1680.837631225586,Identify the lines of longitude that divides North and South America.," Also, identify the lines of longitude that divide the Eastern and Western Hemis"
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/samples/phase_power_summary.csv
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
phase,num_samples,duration_s,energy_j,power_avg_w,power_p95_w,power_peak_w,power_min_w
|
| 2 |
+
idle_mid,3410,34.099907,313.773111,9.201592,14.363,14.58,7.587
|
| 3 |
+
idle_post,3000,29.990013,1889.943737,63.000997,99.377,303.949,8.697
|
| 4 |
+
idle_pre,3000,30.00016,1575.992812,52.532853,78.4322,78.615,7.963
|
| 5 |
+
inference_decode,5016,50.160192,14551.801872,290.106808,306.414,307.007,7.701
|
| 6 |
+
inference_idle,1300,13.000203,1282.211656,98.63069,269.24,300.95,7.701
|
| 7 |
+
inference_prefill,70,0.699887,114.599962,163.772871,306.891,307.007,7.701
|
| 8 |
+
inference_queue,4,0.039756,0.986239,25.1095,66.8899,77.335,7.701
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/config.json
ADDED
|
@@ -0,0 +1,62 @@
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|
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"sampling_interval_ms": 10.0,
|
| 3 |
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"idle_pre_duration": 30.0,
|
| 4 |
+
"idle_mid_duration": 30.0,
|
| 5 |
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"idle_post_duration": 30.0,
|
| 6 |
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"train_epochs": 3,
|
| 7 |
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"train_max_steps": null,
|
| 8 |
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"batch_size": 4,
|
| 9 |
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"gradient_accumulation_steps": 4,
|
| 10 |
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"learning_rate": 0.0002,
|
| 11 |
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"lora_r": 16,
|
| 12 |
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"lora_alpha": 32,
|
| 13 |
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"lora_dropout": 0.05,
|
| 14 |
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"max_seq_length": 512,
|
| 15 |
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"train_max_seq_length": null,
|
| 16 |
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"use_4bit": false,
|
| 17 |
+
"use_bf16": true,
|
| 18 |
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"inference_total_requests": 30,
|
| 19 |
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"inference_interval_sec": 5.0,
|
| 20 |
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"inference_pattern": "fixed",
|
| 21 |
+
"inference_variable_min": 2.0,
|
| 22 |
+
"inference_variable_max": 10.0,
|
| 23 |
+
"inference_burst_count": 3,
|
| 24 |
+
"inference_burst_gap": 1.0,
|
| 25 |
+
"inference_burst_pause": 15.0,
|
| 26 |
+
"inference_batch_size": 1,
|
| 27 |
+
"concurrent_batch_window_ms": 50.0,
|
| 28 |
+
"concurrent_base_rate_rps": 0.2,
|
| 29 |
+
"concurrent_burst_rate_rps": 3.0,
|
| 30 |
+
"concurrent_burst_start_s": 20.0,
|
| 31 |
+
"concurrent_burst_duration_s": 30.0,
|
| 32 |
+
"gen_max_new_tokens": 128,
|
| 33 |
+
"gen_temperature": 0.0,
|
| 34 |
+
"gen_do_sample": false,
|
| 35 |
+
"prompt_shuffle": false,
|
| 36 |
+
"seed": 44,
|
| 37 |
+
"inference_duration_sec": null,
|
| 38 |
+
"prompt_set": "alpaca",
|
| 39 |
+
"strict_datasets": true,
|
| 40 |
+
"clock_lock_gpu": null,
|
| 41 |
+
"clock_lock_mem": null,
|
| 42 |
+
"ramp_enabled": false,
|
| 43 |
+
"ramp_start_w": null,
|
| 44 |
+
"ramp_end_w": null,
|
| 45 |
+
"ramp_steps": 5,
|
| 46 |
+
"ramp_step_duration": 3.0,
|
| 47 |
+
"cuda_index": 0,
|
| 48 |
+
"gpu_physical_index": 0,
|
| 49 |
+
"device": "cuda:0",
|
| 50 |
+
"skip_training": true,
|
| 51 |
+
"skip_inference": false,
|
| 52 |
+
"model": "qwen3-4b",
|
| 53 |
+
"power_cap": null,
|
| 54 |
+
"gpu_info": {
|
| 55 |
+
"gpu_name": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition",
|
| 56 |
+
"tdp_w": 600,
|
| 57 |
+
"memory_total_mb": 97887,
|
| 58 |
+
"driver_version": "580.82.07",
|
| 59 |
+
"cuda_version": "13.0"
|
| 60 |
+
},
|
| 61 |
+
"experiment_timestamp": "2026-02-17T23:49:45.304161"
|
| 62 |
+
}
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/phase_transitions.json
ADDED
|
@@ -0,0 +1,578 @@
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|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"timestamp": "2026-02-17T23:44:54.420724",
|
| 4 |
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"timestamp_ms": 1771339494420.7449,
|
| 5 |
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"phase": "idle_pre",
|
| 6 |
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"sub_phase": ""
|
| 7 |
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},
|
| 8 |
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{
|
| 9 |
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"timestamp": "2026-02-17T23:45:24.420870",
|
| 10 |
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"timestamp_ms": 1771339524420.9092,
|
| 11 |
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"phase": "train",
|
| 12 |
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"sub_phase": "skipped"
|
| 13 |
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},
|
| 14 |
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{
|
| 15 |
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"timestamp": "2026-02-17T23:45:24.421084",
|
| 16 |
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"timestamp_ms": 1771339524421.094,
|
| 17 |
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"phase": "idle_mid",
|
| 18 |
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"sub_phase": ""
|
| 19 |
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},
|
| 20 |
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{
|
| 21 |
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"timestamp": "2026-02-17T23:45:54.421237",
|
| 22 |
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"timestamp_ms": 1771339554421.2747,
|
| 23 |
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"phase": "inference",
|
| 24 |
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"sub_phase": "start"
|
| 25 |
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},
|
| 26 |
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{
|
| 27 |
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"timestamp": "2026-02-17T23:45:58.551326",
|
| 28 |
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"timestamp_ms": 1771339558551.3376,
|
| 29 |
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"phase": "inference",
|
| 30 |
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"sub_phase": "session_start_pattern_fixed"
|
| 31 |
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},
|
| 32 |
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{
|
| 33 |
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"timestamp": "2026-02-17T23:45:58.570222",
|
| 34 |
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"timestamp_ms": 1771339558570.2349,
|
| 35 |
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"phase": "inference",
|
| 36 |
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"sub_phase": "req_0_prefill"
|
| 37 |
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},
|
| 38 |
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{
|
| 39 |
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"timestamp": "2026-02-17T23:45:58.869773",
|
| 40 |
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"timestamp_ms": 1771339558869.7854,
|
| 41 |
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"phase": "inference",
|
| 42 |
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"sub_phase": "req_0_decode"
|
| 43 |
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},
|
| 44 |
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{
|
| 45 |
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"timestamp": "2026-02-17T23:46:00.259111",
|
| 46 |
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"timestamp_ms": 1771339560259.1208,
|
| 47 |
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"phase": "inference",
|
| 48 |
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"sub_phase": "req_0_idle_between"
|
| 49 |
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},
|
| 50 |
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{
|
| 51 |
+
"timestamp": "2026-02-17T23:46:05.260520",
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},
|
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{
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| 417 |
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|
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| 422 |
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| 423 |
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{
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},
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{
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"timestamp": "2026-02-17T23:49:06.856005",
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{
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{
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},
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{
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{
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{
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"timestamp_ms": 1771339755296.974,
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},
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{
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"timestamp": "2026-02-17T23:49:15.297053",
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"timestamp_ms": 1771339755297.055,
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"sub_phase": ""
|
| 577 |
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}
|
| 578 |
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]
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/plots/gpu_metrics.png
ADDED
|
Git LFS Details
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/plots/gpu_power_interactive.html
ADDED
|
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See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/plots/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap__gpu_power_interactive.html
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/samples/gpu_samples.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/samples/inference_results.csv
ADDED
|
@@ -0,0 +1,89 @@
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|
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|
|
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|
| 1 |
+
request_idx,input_tokens,output_tokens,prefill_time_ms,decode_time_ms,prompt_preview,output_preview
|
| 2 |
+
0,7,101,295.6569194793701,1388.967514038086,Give three tips for staying healthy.," 1. Eat a balanced diet rich in fruits, vegetables, whole grains, lean proteins,"
|
| 3 |
+
1,7,128,18.259525299072266,1717.7472114562988,What are the three primary colors?," What are the three secondary colors? What are the three tertiary colors?
|
| 4 |
+
|
| 5 |
+
The t"
|
| 6 |
+
2,7,128,20.757198333740234,1687.0148181915283,Describe the structure of an atom.," Include the subatomic particles, their charges, and their locations within the "
|
| 7 |
+
3,7,128,16.92366600036621,1721.7762470245361,How can we reduce air pollution?, What are the main sources of air pollution? What are the health effects of air
|
| 8 |
+
4,12,128,17.592668533325195,1713.9792442321777,Describe a time when you had to make a difficult decision.," What was the decision, and what factors influenced your choice? How did you han"
|
| 9 |
+
5,12,128,17.117738723754883,1710.8781337738037,"Identify the odd one out.
|
| 10 |
+
Twitter, Instagram, Telegram",", WhatsApp
|
| 11 |
+
|
| 12 |
+
The odd one out is **Telegram**.
|
| 13 |
+
|
| 14 |
+
**Reasoning:**
|
| 15 |
+
- **Twitter**, **In"
|
| 16 |
+
6,18,128,18.902063369750977,1698.6453533172607,"Explain why the following fraction is equivalent to 1/4
|
| 17 |
+
4/16","
|
| 18 |
+
|
| 19 |
+
To determine why the fraction \( \frac{4}{16} \) is equivalent to \( \frac{1}{"
|
| 20 |
+
7,20,128,17.218828201293945,1684.3979358673096,Write a short story in third person narration about a protagonist who has to mak, The story should include a detailed description of the protagonist's surroundin
|
| 21 |
+
8,9,128,17.878293991088867,1701.8353939056396,Render a 3D model of a house," with a red roof and a blue door.
|
| 22 |
+
|
| 23 |
+
We are going to create a simple 3D model of a"
|
| 24 |
+
9,21,128,23.29277992248535,1730.6935787200928,"Evaluate this sentence for spelling and grammar mistakes
|
| 25 |
+
He finnished his meal a",".
|
| 26 |
+
|
| 27 |
+
The sentence contains several spelling and grammar errors. Here is the correc"
|
| 28 |
+
10,6,128,19.43373680114746,1718.2607650756836,How did Julius Caesar die?," Julius Caesar died by **assassination**. On the Ides of March (March 15), 44 BC"
|
| 29 |
+
11,7,128,17.035722732543945,1741.8744564056396,What is the capital of France?," The capital of France is Paris. It is a major cultural, economic, and political"
|
| 30 |
+
12,14,128,19.131183624267578,1735.57710647583,Generate a list of ten items a person might need for a camping trip,".
|
| 31 |
+
|
| 32 |
+
1. Tent
|
| 33 |
+
2. Sleeping bag
|
| 34 |
+
3. Sleeping pad or air mattress
|
| 35 |
+
4. Headlamp or "
|
| 36 |
+
13,7,128,18.685579299926758,1710.569143295288,Discuss the causes of the Great Depression,", and how it affected the global economy.
|
| 37 |
+
|
| 38 |
+
The Great Depression was a severe wor"
|
| 39 |
+
14,19,128,19.110918045043945,1701.4241218566895,"Classify the following into animals, plants, and minerals
|
| 40 |
+
Oak tree, copper ore, ",", gold, rose, iron ore, human, coral, salt, fern
|
| 41 |
+
|
| 42 |
+
Here is the classification of "
|
| 43 |
+
15,11,128,19.53864097595215,1707.3867321014404,Explain the use of word embeddings in Natural Language Processing," (NLP), and how they help in representing text data.
|
| 44 |
+
|
| 45 |
+
Word embeddings are a type"
|
| 46 |
+
16,7,128,17.81320571899414,1698.127031326294,Describe the function of a computer motherboard,".
|
| 47 |
+
|
| 48 |
+
The **motherboard** is the central component of a computer system that connec"
|
| 49 |
+
17,39,128,17.62080192565918,1680.680751800537,"Reverse engineer this code to create a new version
|
| 50 |
+
def factorialize(num):
|
| 51 |
+
fact","
|
| 52 |
+
|
| 53 |
+
# This function is broken. Fix it.
|
| 54 |
+
|
| 55 |
+
# The function is broken because it only i"
|
| 56 |
+
18,11,128,16.654014587402344,1695.5924034118652,Propose an ethical solution to the problem of data privacy," in the digital age.
|
| 57 |
+
|
| 58 |
+
An ethical solution to the problem of data privacy in the "
|
| 59 |
+
19,12,128,17.231225967407227,1690.8814907073975,"Generate three verbs that mean the same as ""to apologize"""," and provide a synonym for each.
|
| 60 |
+
|
| 61 |
+
Certainly! Here are three verbs that mean the "
|
| 62 |
+
20,6,128,19.34337615966797,1678.823709487915,What does DNA stand for?, What is the structure of DNA? What are the four nitrogenous bases in DNA? How d
|
| 63 |
+
21,12,128,16.933917999267578,1707.9353332519531,Compare and contrast the Cuban Missile Crisis and the Vietnam War.," What were the key differences and similarities between these two events?
|
| 64 |
+
|
| 65 |
+
The C"
|
| 66 |
+
22,7,128,16.715049743652344,1694.4680213928223,Generate a list of random words.," Here is a list of 10 random words:
|
| 67 |
+
|
| 68 |
+
1. Quibble
|
| 69 |
+
2. Glimmer
|
| 70 |
+
3. Mirth
|
| 71 |
+
4. Ze"
|
| 72 |
+
23,13,128,17.731666564941406,1700.2589702606201,"Transcribe the recording into text.
|
| 73 |
+
Recording about the history of Waterloo",", Belgium, and the Battle of Waterloo.
|
| 74 |
+
|
| 75 |
+
[00:00:00] Welcome to the history of Wat"
|
| 76 |
+
24,9,128,17.307281494140625,1705.815076828003,Who is the world's most famous painter?," The title of the ""world's most famous painter"" can vary depending on cultural c"
|
| 77 |
+
25,9,128,16.985177993774414,1697.835922241211,Explain the concept of cogging torque.," Cogging torque is a phenomenon observed in electric motors, particularly in per"
|
| 78 |
+
26,8,128,17.963171005249023,1700.3090381622314,Look up the boiling point of water.," What is the boiling point of water in degrees Celsius and degrees Fahrenheit?
|
| 79 |
+
|
| 80 |
+
"
|
| 81 |
+
27,10,128,18.059253692626953,1720.7374572753906,Describe the life and reign of King Charles II.," King Charles II of England (1630–1685) was the monarch of England, Scotland, an"
|
| 82 |
+
28,14,128,18.210172653198242,1708.8265419006348,"Find the area of a circle given its radius.
|
| 83 |
+
Radius = 4"," cm
|
| 84 |
+
|
| 85 |
+
To find the area of a circle given its radius, we use the formula:
|
| 86 |
+
|
| 87 |
+
$$
|
| 88 |
+
A = "
|
| 89 |
+
29,13,128,18.02515983581543,1693.2361125946045,Identify the lines of longitude that divides North and South America.," Also, identify the lines of longitude that divide the Eastern and Western Hemis"
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_fixed_maxtok128_nocap/samples/phase_power_summary.csv
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
phase,num_samples,duration_s,energy_j,power_avg_w,power_p95_w,power_peak_w,power_min_w
|
| 2 |
+
idle_mid,3412,34.120822,303.109065,8.883439,14.364,14.516,7.314
|
| 3 |
+
idle_post,3000,29.990085,1847.675638,61.591384,118.611,302.708,7.167
|
| 4 |
+
idle_pre,3001,30.010071,1571.328847,52.359884,78.232,78.506,7.618
|
| 5 |
+
inference,2,0.019169,0.140915,7.351,7.351,7.351,7.351
|
| 6 |
+
inference_decode,5085,50.849668,8746.927954,172.015702,300.17,303.333,21.68
|
| 7 |
+
inference_idle,14505,145.05179,18317.516433,126.282945,298.109,303.333,77.06
|
| 8 |
+
inference_prefill,83,0.828549,43.395921,52.421229,78.0205,78.039,7.351
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/config.json
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"sampling_interval_ms": 10.0,
|
| 3 |
+
"idle_pre_duration": 30.0,
|
| 4 |
+
"idle_mid_duration": 30.0,
|
| 5 |
+
"idle_post_duration": 30.0,
|
| 6 |
+
"train_epochs": 3,
|
| 7 |
+
"train_max_steps": null,
|
| 8 |
+
"batch_size": 4,
|
| 9 |
+
"gradient_accumulation_steps": 4,
|
| 10 |
+
"learning_rate": 0.0002,
|
| 11 |
+
"lora_r": 16,
|
| 12 |
+
"lora_alpha": 32,
|
| 13 |
+
"lora_dropout": 0.05,
|
| 14 |
+
"max_seq_length": 512,
|
| 15 |
+
"train_max_seq_length": null,
|
| 16 |
+
"use_4bit": false,
|
| 17 |
+
"use_bf16": true,
|
| 18 |
+
"inference_total_requests": 30,
|
| 19 |
+
"inference_interval_sec": 5.0,
|
| 20 |
+
"inference_pattern": "variable",
|
| 21 |
+
"inference_variable_min": 2.0,
|
| 22 |
+
"inference_variable_max": 10.0,
|
| 23 |
+
"inference_burst_count": 3,
|
| 24 |
+
"inference_burst_gap": 1.0,
|
| 25 |
+
"inference_burst_pause": 15.0,
|
| 26 |
+
"inference_batch_size": 1,
|
| 27 |
+
"concurrent_batch_window_ms": 50.0,
|
| 28 |
+
"concurrent_base_rate_rps": 0.2,
|
| 29 |
+
"concurrent_burst_rate_rps": 3.0,
|
| 30 |
+
"concurrent_burst_start_s": 20.0,
|
| 31 |
+
"concurrent_burst_duration_s": 30.0,
|
| 32 |
+
"gen_max_new_tokens": 128,
|
| 33 |
+
"gen_temperature": 0.0,
|
| 34 |
+
"gen_do_sample": false,
|
| 35 |
+
"prompt_shuffle": false,
|
| 36 |
+
"seed": 44,
|
| 37 |
+
"inference_duration_sec": null,
|
| 38 |
+
"prompt_set": "alpaca",
|
| 39 |
+
"strict_datasets": true,
|
| 40 |
+
"clock_lock_gpu": null,
|
| 41 |
+
"clock_lock_mem": null,
|
| 42 |
+
"ramp_enabled": false,
|
| 43 |
+
"ramp_start_w": null,
|
| 44 |
+
"ramp_end_w": null,
|
| 45 |
+
"ramp_steps": 5,
|
| 46 |
+
"ramp_step_duration": 3.0,
|
| 47 |
+
"cuda_index": 0,
|
| 48 |
+
"gpu_physical_index": 0,
|
| 49 |
+
"device": "cuda:0",
|
| 50 |
+
"skip_training": true,
|
| 51 |
+
"skip_inference": false,
|
| 52 |
+
"model": "qwen3-4b",
|
| 53 |
+
"power_cap": null,
|
| 54 |
+
"gpu_info": {
|
| 55 |
+
"gpu_name": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition",
|
| 56 |
+
"tdp_w": 600,
|
| 57 |
+
"memory_total_mb": 97887,
|
| 58 |
+
"driver_version": "580.82.07",
|
| 59 |
+
"cuda_version": "13.0"
|
| 60 |
+
},
|
| 61 |
+
"experiment_timestamp": "2026-02-17T23:55:00.151474"
|
| 62 |
+
}
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/phase_transitions.json
ADDED
|
@@ -0,0 +1,578 @@
|
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|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"timestamp": "2026-02-17T23:49:57.308101",
|
| 4 |
+
"timestamp_ms": 1771339797308.1116,
|
| 5 |
+
"phase": "idle_pre",
|
| 6 |
+
"sub_phase": ""
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"timestamp": "2026-02-17T23:50:27.308251",
|
| 10 |
+
"timestamp_ms": 1771339827308.2905,
|
| 11 |
+
"phase": "train",
|
| 12 |
+
"sub_phase": "skipped"
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"timestamp": "2026-02-17T23:50:27.308490",
|
| 16 |
+
"timestamp_ms": 1771339827308.4998,
|
| 17 |
+
"phase": "idle_mid",
|
| 18 |
+
"sub_phase": ""
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"timestamp": "2026-02-17T23:50:57.308648",
|
| 22 |
+
"timestamp_ms": 1771339857308.6868,
|
| 23 |
+
"phase": "inference",
|
| 24 |
+
"sub_phase": "start"
|
| 25 |
+
},
|
| 26 |
+
{
|
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outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/plots/gpu_metrics.png
ADDED
|
Git LFS Details
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/plots/gpu_power_interactive.html
ADDED
|
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|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/plots/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap__gpu_power_interactive.html
ADDED
|
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See raw diff
|
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|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/samples/gpu_samples.csv
ADDED
|
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See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/samples/inference_results.csv
ADDED
|
@@ -0,0 +1,89 @@
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|
| 1 |
+
request_idx,input_tokens,output_tokens,prefill_time_ms,decode_time_ms,prompt_preview,output_preview
|
| 2 |
+
0,7,101,286.90385818481445,1454.5841217041016,Give three tips for staying healthy.," 1. Eat a balanced diet rich in fruits, vegetables, whole grains, lean proteins,"
|
| 3 |
+
1,7,128,19.587278366088867,1800.0922203063965,What are the three primary colors?," What are the three secondary colors? What are the three tertiary colors?
|
| 4 |
+
|
| 5 |
+
The t"
|
| 6 |
+
2,7,128,22.310733795166016,1764.1212940216064,Describe the structure of an atom.," Include the subatomic particles, their charges, and their locations within the "
|
| 7 |
+
3,7,128,18.265247344970703,1778.5651683807373,How can we reduce air pollution?, What are the main sources of air pollution? What are the health effects of air
|
| 8 |
+
4,12,128,18.45693588256836,1793.9457893371582,Describe a time when you had to make a difficult decision.," What was the decision, and what factors influenced your choice? How did you han"
|
| 9 |
+
5,12,128,18.153905868530273,1813.2221698760986,"Identify the odd one out.
|
| 10 |
+
Twitter, Instagram, Telegram",", WhatsApp
|
| 11 |
+
|
| 12 |
+
The odd one out is **Telegram**.
|
| 13 |
+
|
| 14 |
+
**Reasoning:**
|
| 15 |
+
- **Twitter**, **In"
|
| 16 |
+
6,18,128,20.224332809448242,1811.232328414917,"Explain why the following fraction is equivalent to 1/4
|
| 17 |
+
4/16","
|
| 18 |
+
|
| 19 |
+
To determine why the fraction \( \frac{4}{16} \) is equivalent to \( \frac{1}{"
|
| 20 |
+
7,20,128,18.922090530395508,1804.8827648162842,Write a short story in third person narration about a protagonist who has to mak, The story should include a detailed description of the protagonist's surroundin
|
| 21 |
+
8,9,128,19.359827041625977,1804.9259185791016,Render a 3D model of a house," with a red roof and a blue door.
|
| 22 |
+
|
| 23 |
+
We are going to create a simple 3D model of a"
|
| 24 |
+
9,21,128,21.639347076416016,1806.9007396697998,"Evaluate this sentence for spelling and grammar mistakes
|
| 25 |
+
He finnished his meal a",".
|
| 26 |
+
|
| 27 |
+
The sentence contains several spelling and grammar errors. Here is the correc"
|
| 28 |
+
10,6,128,20.144939422607422,1826.134204864502,How did Julius Caesar die?," Julius Caesar died by **assassination**. On the Ides of March (March 15), 44 BC"
|
| 29 |
+
11,7,128,18.254518508911133,1802.9637336730957,What is the capital of France?," The capital of France is Paris. It is a major cultural, economic, and political"
|
| 30 |
+
12,14,128,18.06044578552246,1815.891981124878,Generate a list of ten items a person might need for a camping trip,".
|
| 31 |
+
|
| 32 |
+
1. Tent
|
| 33 |
+
2. Sleeping bag
|
| 34 |
+
3. Sleeping pad or air mattress
|
| 35 |
+
4. Headlamp or "
|
| 36 |
+
13,7,128,20.150184631347656,1789.4024848937988,Discuss the causes of the Great Depression,", and how it affected the global economy.
|
| 37 |
+
|
| 38 |
+
The Great Depression was a severe wor"
|
| 39 |
+
14,19,128,20.032167434692383,1820.2176094055176,"Classify the following into animals, plants, and minerals
|
| 40 |
+
Oak tree, copper ore, ",", gold, rose, iron ore, human, coral, salt, fern
|
| 41 |
+
|
| 42 |
+
Here is the classification of "
|
| 43 |
+
15,11,128,18.156051635742188,1785.5415344238281,Explain the use of word embeddings in Natural Language Processing," (NLP), and how they help in representing text data.
|
| 44 |
+
|
| 45 |
+
Word embeddings are a type"
|
| 46 |
+
16,7,128,18.454551696777344,1765.5093669891357,Describe the function of a computer motherboard,".
|
| 47 |
+
|
| 48 |
+
The **motherboard** is the central component of a computer system that connec"
|
| 49 |
+
17,39,128,19.51909065246582,1779.7768115997314,"Reverse engineer this code to create a new version
|
| 50 |
+
def factorialize(num):
|
| 51 |
+
fact","
|
| 52 |
+
|
| 53 |
+
# This function is broken. Fix it.
|
| 54 |
+
|
| 55 |
+
# The function is broken because it only i"
|
| 56 |
+
18,11,128,17.423629760742188,1771.5082168579102,Propose an ethical solution to the problem of data privacy," in the digital age.
|
| 57 |
+
|
| 58 |
+
An ethical solution to the problem of data privacy in the "
|
| 59 |
+
19,12,128,18.316268920898438,1783.3521366119385,"Generate three verbs that mean the same as ""to apologize"""," and provide a synonym for each.
|
| 60 |
+
|
| 61 |
+
Certainly! Here are three verbs that mean the "
|
| 62 |
+
20,6,128,17.646312713623047,1778.2115936279297,What does DNA stand for?, What is the structure of DNA? What are the four nitrogenous bases in DNA? How d
|
| 63 |
+
21,12,128,17.752647399902344,1780.5171012878418,Compare and contrast the Cuban Missile Crisis and the Vietnam War.," What were the key differences and similarities between these two events?
|
| 64 |
+
|
| 65 |
+
The C"
|
| 66 |
+
22,7,128,17.54474639892578,1785.9206199645996,Generate a list of random words.," Here is a list of 10 random words:
|
| 67 |
+
|
| 68 |
+
1. Quibble
|
| 69 |
+
2. Glimmer
|
| 70 |
+
3. Mirth
|
| 71 |
+
4. Ze"
|
| 72 |
+
23,13,128,18.33653450012207,1810.7986450195312,"Transcribe the recording into text.
|
| 73 |
+
Recording about the history of Waterloo",", Belgium, and the Battle of Waterloo.
|
| 74 |
+
|
| 75 |
+
[00:00:00] Welcome to the history of Wat"
|
| 76 |
+
24,9,128,18.84746551513672,1804.276943206787,Who is the world's most famous painter?," The title of the ""world's most famous painter"" can vary depending on cultural c"
|
| 77 |
+
25,9,128,19.43492889404297,1796.6578006744385,Explain the concept of cogging torque.," Cogging torque is a phenomenon observed in electric motors, particularly in per"
|
| 78 |
+
26,8,128,18.883943557739258,1806.0364723205566,Look up the boiling point of water.," What is the boiling point of water in degrees Celsius and degrees Fahrenheit?
|
| 79 |
+
|
| 80 |
+
"
|
| 81 |
+
27,10,128,18.136262893676758,1797.9443073272705,Describe the life and reign of King Charles II.," King Charles II of England (1630–1685) was the monarch of England, Scotland, an"
|
| 82 |
+
28,14,128,19.391775131225586,1797.4438667297363,"Find the area of a circle given its radius.
|
| 83 |
+
Radius = 4"," cm
|
| 84 |
+
|
| 85 |
+
To find the area of a circle given its radius, we use the formula:
|
| 86 |
+
|
| 87 |
+
$$
|
| 88 |
+
A = "
|
| 89 |
+
29,13,128,18.508195877075195,1803.3854961395264,Identify the lines of longitude that divides North and South America.," Also, identify the lines of longitude that divide the Eastern and Western Hemis"
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r02/llm_qwen3-4b_gpu0_ds_alpaca_variable_maxtok128_nocap/samples/phase_power_summary.csv
ADDED
|
@@ -0,0 +1,8 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
phase,num_samples,duration_s,energy_j,power_avg_w,power_p95_w,power_peak_w,power_min_w
|
| 2 |
+
idle_mid,3524,35.240245,323.160567,9.170226,14.614,14.626,7.609
|
| 3 |
+
idle_post,3000,29.990045,1863.330128,62.113442,126.033,288.468,7.541
|
| 4 |
+
idle_pre,3001,30.010116,1534.348598,51.127658,77.846,78.055,7.815
|
| 5 |
+
inference,2,0.019701,0.154984,7.867,7.867,7.867,7.867
|
| 6 |
+
inference_decode,5354,53.539469,9807.469038,183.182422,292.75,294.524,7.867
|
| 7 |
+
inference_idle,15318,153.181019,18153.226547,118.508279,288.267,294.524,77.159
|
| 8 |
+
inference_prefill,85,0.849521,48.73893,57.390518,94.3054,116.045,7.867
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/config.json
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
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|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"sampling_interval_ms": 10.0,
|
| 3 |
+
"idle_pre_duration": 30.0,
|
| 4 |
+
"idle_mid_duration": 30.0,
|
| 5 |
+
"idle_post_duration": 30.0,
|
| 6 |
+
"train_epochs": 3,
|
| 7 |
+
"train_max_steps": null,
|
| 8 |
+
"batch_size": 4,
|
| 9 |
+
"gradient_accumulation_steps": 4,
|
| 10 |
+
"learning_rate": 0.0002,
|
| 11 |
+
"lora_r": 16,
|
| 12 |
+
"lora_alpha": 32,
|
| 13 |
+
"lora_dropout": 0.05,
|
| 14 |
+
"max_seq_length": 512,
|
| 15 |
+
"train_max_seq_length": null,
|
| 16 |
+
"use_4bit": false,
|
| 17 |
+
"use_bf16": true,
|
| 18 |
+
"inference_total_requests": 30,
|
| 19 |
+
"inference_interval_sec": 5.0,
|
| 20 |
+
"inference_pattern": "burst",
|
| 21 |
+
"inference_variable_min": 2.0,
|
| 22 |
+
"inference_variable_max": 10.0,
|
| 23 |
+
"inference_burst_count": 3,
|
| 24 |
+
"inference_burst_gap": 1.0,
|
| 25 |
+
"inference_burst_pause": 15.0,
|
| 26 |
+
"inference_batch_size": 1,
|
| 27 |
+
"concurrent_batch_window_ms": 50.0,
|
| 28 |
+
"concurrent_base_rate_rps": 0.2,
|
| 29 |
+
"concurrent_burst_rate_rps": 3.0,
|
| 30 |
+
"concurrent_burst_start_s": 20.0,
|
| 31 |
+
"concurrent_burst_duration_s": 30.0,
|
| 32 |
+
"gen_max_new_tokens": 128,
|
| 33 |
+
"gen_temperature": 0.0,
|
| 34 |
+
"gen_do_sample": false,
|
| 35 |
+
"prompt_shuffle": false,
|
| 36 |
+
"seed": 45,
|
| 37 |
+
"inference_duration_sec": null,
|
| 38 |
+
"prompt_set": "alpaca",
|
| 39 |
+
"strict_datasets": true,
|
| 40 |
+
"clock_lock_gpu": null,
|
| 41 |
+
"clock_lock_mem": null,
|
| 42 |
+
"ramp_enabled": false,
|
| 43 |
+
"ramp_start_w": null,
|
| 44 |
+
"ramp_end_w": null,
|
| 45 |
+
"ramp_steps": 5,
|
| 46 |
+
"ramp_step_duration": 3.0,
|
| 47 |
+
"cuda_index": 0,
|
| 48 |
+
"gpu_physical_index": 0,
|
| 49 |
+
"device": "cuda:0",
|
| 50 |
+
"skip_training": true,
|
| 51 |
+
"skip_inference": false,
|
| 52 |
+
"model": "qwen3-4b",
|
| 53 |
+
"power_cap": null,
|
| 54 |
+
"gpu_info": {
|
| 55 |
+
"gpu_name": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition",
|
| 56 |
+
"tdp_w": 600,
|
| 57 |
+
"memory_total_mb": 97887,
|
| 58 |
+
"driver_version": "580.82.07",
|
| 59 |
+
"cuda_version": "13.0"
|
| 60 |
+
},
|
| 61 |
+
"experiment_timestamp": "2026-02-18T00:18:38.783541"
|
| 62 |
+
}
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/phase_transitions.json
ADDED
|
@@ -0,0 +1,464 @@
|
|
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|
|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"timestamp": "2026-02-18T00:13:34.860356",
|
| 4 |
+
"timestamp_ms": 1771341214860.369,
|
| 5 |
+
"phase": "idle_pre",
|
| 6 |
+
"sub_phase": ""
|
| 7 |
+
},
|
| 8 |
+
{
|
| 9 |
+
"timestamp": "2026-02-18T00:14:04.860478",
|
| 10 |
+
"timestamp_ms": 1771341244860.5205,
|
| 11 |
+
"phase": "train",
|
| 12 |
+
"sub_phase": "skipped"
|
| 13 |
+
},
|
| 14 |
+
{
|
| 15 |
+
"timestamp": "2026-02-18T00:14:04.860723",
|
| 16 |
+
"timestamp_ms": 1771341244860.7332,
|
| 17 |
+
"phase": "idle_mid",
|
| 18 |
+
"sub_phase": ""
|
| 19 |
+
},
|
| 20 |
+
{
|
| 21 |
+
"timestamp": "2026-02-18T00:14:34.860921",
|
| 22 |
+
"timestamp_ms": 1771341274860.9614,
|
| 23 |
+
"phase": "inference",
|
| 24 |
+
"sub_phase": "start"
|
| 25 |
+
},
|
| 26 |
+
{
|
| 27 |
+
"timestamp": "2026-02-18T00:14:39.028335",
|
| 28 |
+
"timestamp_ms": 1771341279028.3464,
|
| 29 |
+
"phase": "inference",
|
| 30 |
+
"sub_phase": "session_start_pattern_burst"
|
| 31 |
+
},
|
| 32 |
+
{
|
| 33 |
+
"timestamp": "2026-02-18T00:14:39.028394",
|
| 34 |
+
"timestamp_ms": 1771341279028.3965,
|
| 35 |
+
"phase": "inference",
|
| 36 |
+
"sub_phase": "burst_1_start"
|
| 37 |
+
},
|
| 38 |
+
{
|
| 39 |
+
"timestamp": "2026-02-18T00:14:39.047091",
|
| 40 |
+
"timestamp_ms": 1771341279047.103,
|
| 41 |
+
"phase": "inference",
|
| 42 |
+
"sub_phase": "req_0_prefill"
|
| 43 |
+
},
|
| 44 |
+
{
|
| 45 |
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| 412 |
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"timestamp_ms": 1771341481294.534,
|
| 413 |
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"phase": "inference",
|
| 414 |
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"sub_phase": "burst_10_start"
|
| 415 |
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},
|
| 416 |
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{
|
| 417 |
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"timestamp": "2026-02-18T00:18:01.296032",
|
| 418 |
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"timestamp_ms": 1771341481296.0535,
|
| 419 |
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"phase": "inference",
|
| 420 |
+
"sub_phase": "req_27_prefill"
|
| 421 |
+
},
|
| 422 |
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{
|
| 423 |
+
"timestamp": "2026-02-18T00:18:01.315107",
|
| 424 |
+
"timestamp_ms": 1771341481315.1184,
|
| 425 |
+
"phase": "inference",
|
| 426 |
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"sub_phase": "req_27_decode"
|
| 427 |
+
},
|
| 428 |
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{
|
| 429 |
+
"timestamp": "2026-02-18T00:18:04.130457",
|
| 430 |
+
"timestamp_ms": 1771341484130.4873,
|
| 431 |
+
"phase": "inference",
|
| 432 |
+
"sub_phase": "req_28_prefill"
|
| 433 |
+
},
|
| 434 |
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{
|
| 435 |
+
"timestamp": "2026-02-18T00:18:04.149624",
|
| 436 |
+
"timestamp_ms": 1771341484149.6328,
|
| 437 |
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"phase": "inference",
|
| 438 |
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"sub_phase": "req_28_decode"
|
| 439 |
+
},
|
| 440 |
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{
|
| 441 |
+
"timestamp": "2026-02-18T00:18:06.946181",
|
| 442 |
+
"timestamp_ms": 1771341486946.213,
|
| 443 |
+
"phase": "inference",
|
| 444 |
+
"sub_phase": "req_29_prefill"
|
| 445 |
+
},
|
| 446 |
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{
|
| 447 |
+
"timestamp": "2026-02-18T00:18:06.964566",
|
| 448 |
+
"timestamp_ms": 1771341486964.5762,
|
| 449 |
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"phase": "inference",
|
| 450 |
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"sub_phase": "req_29_decode"
|
| 451 |
+
},
|
| 452 |
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{
|
| 453 |
+
"timestamp": "2026-02-18T00:18:08.776247",
|
| 454 |
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"timestamp_ms": 1771341488776.2544,
|
| 455 |
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"phase": "inference",
|
| 456 |
+
"sub_phase": "session_finished"
|
| 457 |
+
},
|
| 458 |
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{
|
| 459 |
+
"timestamp": "2026-02-18T00:18:08.776330",
|
| 460 |
+
"timestamp_ms": 1771341488776.3315,
|
| 461 |
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"phase": "idle_post",
|
| 462 |
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"sub_phase": ""
|
| 463 |
+
}
|
| 464 |
+
]
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/gpu_samples.csv
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_burst_maxtok128_nocap/samples/inference_results.csv
ADDED
|
@@ -0,0 +1,89 @@
|
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|
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|
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|
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|
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|
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|
|
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|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
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|
|
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|
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|
|
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|
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|
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|
|
|
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|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
| 1 |
+
request_idx,input_tokens,output_tokens,prefill_time_ms,decode_time_ms,prompt_preview,output_preview
|
| 2 |
+
0,7,101,296.2508201599121,1448.7011432647705,Give three tips for staying healthy.," 1. Eat a balanced diet rich in fruits, vegetables, whole grains, lean proteins,"
|
| 3 |
+
1,7,128,17.64822006225586,1802.725076675415,What are the three primary colors?," What are the three secondary colors? What are the three tertiary colors?
|
| 4 |
+
|
| 5 |
+
The t"
|
| 6 |
+
2,7,128,18.328428268432617,1806.2524795532227,Describe the structure of an atom.," Include the subatomic particles, their charges, and their locations within the "
|
| 7 |
+
3,7,128,19.867420196533203,1794.3599224090576,How can we reduce air pollution?, What are the main sources of air pollution? What are the health effects of air
|
| 8 |
+
4,12,128,18.783092498779297,1807.4922561645508,Describe a time when you had to make a difficult decision.," What was the decision, and what factors influenced your choice? How did you han"
|
| 9 |
+
5,12,128,18.024921417236328,1786.8177890777588,"Identify the odd one out.
|
| 10 |
+
Twitter, Instagram, Telegram",", WhatsApp
|
| 11 |
+
|
| 12 |
+
The odd one out is **Telegram**.
|
| 13 |
+
|
| 14 |
+
**Reasoning:**
|
| 15 |
+
- **Twitter**, **In"
|
| 16 |
+
6,18,128,21.31509780883789,1820.0712203979492,"Explain why the following fraction is equivalent to 1/4
|
| 17 |
+
4/16","
|
| 18 |
+
|
| 19 |
+
To determine why the fraction \( \frac{4}{16} \) is equivalent to \( \frac{1}{"
|
| 20 |
+
7,20,128,17.824888229370117,1796.7455387115479,Write a short story in third person narration about a protagonist who has to mak, The story should include a detailed description of the protagonist's surroundin
|
| 21 |
+
8,9,128,19.02031898498535,1806.6699504852295,Render a 3D model of a house," with a red roof and a blue door.
|
| 22 |
+
|
| 23 |
+
We are going to create a simple 3D model of a"
|
| 24 |
+
9,21,128,17.70758628845215,1792.3784255981445,"Evaluate this sentence for spelling and grammar mistakes
|
| 25 |
+
He finnished his meal a",".
|
| 26 |
+
|
| 27 |
+
The sentence contains several spelling and grammar errors. Here is the correc"
|
| 28 |
+
10,6,128,19.31452751159668,1800.0941276550293,How did Julius Caesar die?," Julius Caesar died by **assassination**. On the Ides of March (March 15), 44 BC"
|
| 29 |
+
11,7,128,17.86041259765625,1796.0946559906006,What is the capital of France?," The capital of France is Paris. It is a major cultural, economic, and political"
|
| 30 |
+
12,14,128,18.492460250854492,1821.6643333435059,Generate a list of ten items a person might need for a camping trip,".
|
| 31 |
+
|
| 32 |
+
1. Tent
|
| 33 |
+
2. Sleeping bag
|
| 34 |
+
3. Sleeping pad or air mattress
|
| 35 |
+
4. Headlamp or "
|
| 36 |
+
13,7,128,17.90761947631836,1813.8773441314697,Discuss the causes of the Great Depression,", and how it affected the global economy.
|
| 37 |
+
|
| 38 |
+
The Great Depression was a severe wor"
|
| 39 |
+
14,19,128,20.12014389038086,1823.8255977630615,"Classify the following into animals, plants, and minerals
|
| 40 |
+
Oak tree, copper ore, ",", gold, rose, iron ore, human, coral, salt, fern
|
| 41 |
+
|
| 42 |
+
Here is the classification of "
|
| 43 |
+
15,11,128,18.831729888916016,1817.0907497406006,Explain the use of word embeddings in Natural Language Processing," (NLP), and how they help in representing text data.
|
| 44 |
+
|
| 45 |
+
Word embeddings are a type"
|
| 46 |
+
16,7,128,18.47052574157715,1810.657024383545,Describe the function of a computer motherboard,".
|
| 47 |
+
|
| 48 |
+
The **motherboard** is the central component of a computer system that connec"
|
| 49 |
+
17,39,128,20.357847213745117,1820.0385570526123,"Reverse engineer this code to create a new version
|
| 50 |
+
def factorialize(num):
|
| 51 |
+
fact","
|
| 52 |
+
|
| 53 |
+
# This function is broken. Fix it.
|
| 54 |
+
|
| 55 |
+
# The function is broken because it only i"
|
| 56 |
+
18,11,128,19.304513931274414,1817.3611164093018,Propose an ethical solution to the problem of data privacy," in the digital age.
|
| 57 |
+
|
| 58 |
+
An ethical solution to the problem of data privacy in the "
|
| 59 |
+
19,12,128,18.550634384155273,1800.5859851837158,"Generate three verbs that mean the same as ""to apologize"""," and provide a synonym for each.
|
| 60 |
+
|
| 61 |
+
Certainly! Here are three verbs that mean the "
|
| 62 |
+
20,6,128,19.797563552856445,1828.5281658172607,What does DNA stand for?, What is the structure of DNA? What are the four nitrogenous bases in DNA? How d
|
| 63 |
+
21,12,128,17.765522003173828,1789.9084091186523,Compare and contrast the Cuban Missile Crisis and the Vietnam War.," What were the key differences and similarities between these two events?
|
| 64 |
+
|
| 65 |
+
The C"
|
| 66 |
+
22,7,128,18.359661102294922,1818.767786026001,Generate a list of random words.," Here is a list of 10 random words:
|
| 67 |
+
|
| 68 |
+
1. Quibble
|
| 69 |
+
2. Glimmer
|
| 70 |
+
3. Mirth
|
| 71 |
+
4. Ze"
|
| 72 |
+
23,13,128,19.072771072387695,1808.9680671691895,"Transcribe the recording into text.
|
| 73 |
+
Recording about the history of Waterloo",", Belgium, and the Battle of Waterloo.
|
| 74 |
+
|
| 75 |
+
[00:00:00] Welcome to the history of Wat"
|
| 76 |
+
24,9,128,18.509626388549805,1792.9670810699463,Who is the world's most famous painter?," The title of the ""world's most famous painter"" can vary depending on cultural c"
|
| 77 |
+
25,9,128,18.07999610900879,1787.9447937011719,Explain the concept of cogging torque.," Cogging torque is a phenomenon observed in electric motors, particularly in per"
|
| 78 |
+
26,8,128,17.876863479614258,1800.3571033477783,Look up the boiling point of water.," What is the boiling point of water in degrees Celsius and degrees Fahrenheit?
|
| 79 |
+
|
| 80 |
+
"
|
| 81 |
+
27,10,128,18.841266632080078,1813.9050006866455,Describe the life and reign of King Charles II.," King Charles II of England (1630–1685) was the monarch of England, Scotland, an"
|
| 82 |
+
28,14,128,18.938302993774414,1795.0994968414307,"Find the area of a circle given its radius.
|
| 83 |
+
Radius = 4"," cm
|
| 84 |
+
|
| 85 |
+
To find the area of a circle given its radius, we use the formula:
|
| 86 |
+
|
| 87 |
+
$$
|
| 88 |
+
A = "
|
| 89 |
+
29,13,128,18.146753311157227,1811.4590644836426,Identify the lines of longitude that divides North and South America.," Also, identify the lines of longitude that divide the Eastern and Western Hemis"
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/config.json
ADDED
|
@@ -0,0 +1,62 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
+
"sampling_interval_ms": 10.0,
|
| 3 |
+
"idle_pre_duration": 30.0,
|
| 4 |
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"idle_mid_duration": 30.0,
|
| 5 |
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"idle_post_duration": 30.0,
|
| 6 |
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"train_epochs": 3,
|
| 7 |
+
"train_max_steps": null,
|
| 8 |
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"batch_size": 4,
|
| 9 |
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"gradient_accumulation_steps": 4,
|
| 10 |
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"learning_rate": 0.0002,
|
| 11 |
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"lora_r": 16,
|
| 12 |
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"lora_alpha": 32,
|
| 13 |
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"lora_dropout": 0.05,
|
| 14 |
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"max_seq_length": 512,
|
| 15 |
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"train_max_seq_length": null,
|
| 16 |
+
"use_4bit": false,
|
| 17 |
+
"use_bf16": true,
|
| 18 |
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"inference_total_requests": 30,
|
| 19 |
+
"inference_interval_sec": 5.0,
|
| 20 |
+
"inference_pattern": "concurrent_burst",
|
| 21 |
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"inference_variable_min": 2.0,
|
| 22 |
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"inference_variable_max": 10.0,
|
| 23 |
+
"inference_burst_count": 3,
|
| 24 |
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"inference_burst_gap": 1.0,
|
| 25 |
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"inference_burst_pause": 15.0,
|
| 26 |
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"inference_batch_size": 1,
|
| 27 |
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"concurrent_batch_window_ms": 50.0,
|
| 28 |
+
"concurrent_base_rate_rps": 0.2,
|
| 29 |
+
"concurrent_burst_rate_rps": 3.0,
|
| 30 |
+
"concurrent_burst_start_s": 20.0,
|
| 31 |
+
"concurrent_burst_duration_s": 30.0,
|
| 32 |
+
"gen_max_new_tokens": 128,
|
| 33 |
+
"gen_temperature": 0.0,
|
| 34 |
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"gen_do_sample": false,
|
| 35 |
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"prompt_shuffle": false,
|
| 36 |
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"seed": 45,
|
| 37 |
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"inference_duration_sec": null,
|
| 38 |
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"prompt_set": "alpaca",
|
| 39 |
+
"strict_datasets": true,
|
| 40 |
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"clock_lock_gpu": null,
|
| 41 |
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"clock_lock_mem": null,
|
| 42 |
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"ramp_enabled": false,
|
| 43 |
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"ramp_start_w": null,
|
| 44 |
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"ramp_end_w": null,
|
| 45 |
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"ramp_steps": 5,
|
| 46 |
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"ramp_step_duration": 3.0,
|
| 47 |
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"cuda_index": 0,
|
| 48 |
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"gpu_physical_index": 0,
|
| 49 |
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"device": "cuda:0",
|
| 50 |
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"skip_training": true,
|
| 51 |
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"skip_inference": false,
|
| 52 |
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"model": "qwen3-4b",
|
| 53 |
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"power_cap": null,
|
| 54 |
+
"gpu_info": {
|
| 55 |
+
"gpu_name": "NVIDIA RTX PRO 6000 Blackwell Workstation Edition",
|
| 56 |
+
"tdp_w": 600,
|
| 57 |
+
"memory_total_mb": 97887,
|
| 58 |
+
"driver_version": "580.82.07",
|
| 59 |
+
"cuda_version": "13.0"
|
| 60 |
+
},
|
| 61 |
+
"experiment_timestamp": "2026-02-18T00:21:21.794021"
|
| 62 |
+
}
|
outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/phase_transitions.json
ADDED
|
@@ -0,0 +1,584 @@
|
|
|
|
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|
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outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/gpu_metrics.png
ADDED
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outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/gpu_power_interactive.html
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outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/plots/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap__gpu_power_interactive.html
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outputs/llm_power_experiment/05_inference_pattern_fixed_var_burst/repeats_strict/r03/llm_qwen3-4b_gpu0_ds_alpaca_concurrent_burst_maxtok128_nocap/samples/gpu_samples.csv
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