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--- |
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license: cc-by-4.0 |
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task_categories: |
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- time-series-forecasting |
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language: |
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- en |
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tags: |
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- HPC |
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pretty_name: ClusterWise |
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size_categories: |
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- 100B<n<1T |
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--- |
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## Data Overview |
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ClusterWise is a comprehensive dataset (240GB) containing real-world operational data from the OLCF Summit HPC cluster, one of the world's most powerful supercomputers. The dataset provides a rich collection of system telemetry, including: |
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- Job scheduler logs |
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- GPU failure event logs |
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- High-resolution temperature measurements from CPUs and GPUs |
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- Detailed power consumption metrics among components |
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- Physical layout information of the nodes |
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The complete dataset related pipeline is available in our [GitHub repository](https://github.com/AnemonePetal/hpc_dataset), enabling reproduction of the full 450GB dataset. |
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This dataset is ready for commercial/non-commercial use. |
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## Data Fields |
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| Field | Type | Description | |
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| :-------------- | :------------ | :---------------------------------------------------------------------------------------------- | |
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| timestamp | timestamp[ms] | Timestamp of the record | |
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| node_state | string | State of the node | |
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| hostname | string | Hostname of the node, indicating its physical location. Format: `<cabinet_column:[a-h]><cabinet_row:[0-24]>n<node_in_rack:[1-18]>`. Node position in rack is from bottom (1) to top (18). | |
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| job_begin_time | timestamp[ms] | Timestamp of when the job started | |
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| job_end_time | timestamp[ms] | Timestamp of when the job terminated | |
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| allocation_id | int64 | Unique identifier of the job | |
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| label | float64 | Indicates if the record corresponds to a failure event (e.g., 1 for failure, 0 for normal) | |
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| xid | float64 | Nvidia error code representing failure type | |
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| gpu0_core_temp | float | Core temperature of the 1st Nvidia V100 GPU attached to the first Power9 CPU (Celsius) | |
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| gpu0_mem_temp | float | Memory (HBM) temperature of the 1st Nvidia V100 GPU attached to the first Power9 CPU (Celsius) | |
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| gpu1_core_temp | float | Core temperature of the 2nd Nvidia V100 GPU attached to the first Power9 CPU (Celsius) | |
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| gpu1_mem_temp | float | Memory (HBM) temperature of the 2nd Nvidia V100 GPU attached to the first Power9 CPU (Celsius) | |
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| gpu2_core_temp | float | Core temperature of the 3rd Nvidia V100 GPU attached to the first Power9 CPU (Celsius) | |
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| gpu2_mem_temp | float | Memory (HBM) temperature of the 3rd Nvidia V100 GPU attached to the first Power9 CPU (Celsius) | |
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| gpu3_core_temp | float | Core temperature of the 1st Nvidia V100 GPU attached to the second Power9 CPU (Celsius) | |
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| gpu3_mem_temp | float | Memory (HBM) temperature of the 1st Nvidia V100 GPU attached to the second Power9 CPU (Celsius) | |
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| gpu4_core_temp | float | Core temperature of the 2nd Nvidia V100 GPU attached to the second Power9 CPU (Celsius) | |
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| gpu4_mem_temp | float | Memory (HBM) temperature of the 2nd Nvidia V100 GPU attached to the second Power9 CPU (Celsius) | |
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| gpu5_core_temp | float | Core temperature of the 3rd Nvidia V100 GPU attached to the second Power9 CPU (Celsius) | |
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| gpu5_mem_temp | float | Memory (HBM) temperature of the 3rd Nvidia V100 GPU attached to the second Power9 CPU (Celsius) | |
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| p0_gpu0_power | float | DC power consumption of the 1st Nvidia V100 GPU attached to the first Power9 CPU (Watts) | |
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| p0_gpu1_power | float | DC power consumption of the 2nd Nvidia V100 GPU attached to the first Power9 CPU (Watts) | |
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| p0_gpu2_power | float | DC power consumption of the 3rd Nvidia V100 GPU attached to the first Power9 CPU (Watts) | |
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| p0_power | float | DC power consumption of the first Power9 CPU in the node (Watts) | |
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| p0_temp_max | float | Maximum core temperature of the first Power9 CPU (Celsius) | |
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| p0_temp_mean | float | Mean core temperature of the first Power9 CPU (Celsius) | |
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| p0_temp_min | float | Minimum core temperature of the first Power9 CPU (Celsius) | |
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| p1_gpu0_power | float | DC power consumption of the 1st Nvidia V100 GPU attached to the second Power9 CPU (Watts) | |
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| p1_gpu1_power | float | DC power consumption of the 2nd Nvidia V100 GPU attached to the second Power9 CPU (Watts) | |
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| p1_gpu2_power | float | DC power consumption of the 3rd Nvidia V100 GPU attached to the second Power9 CPU (Watts) | |
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| p1_power | float | DC power consumption of the second Power9 CPU in the node (Watts) | |
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| p1_temp_max | float | Maximum core temperature of the second Power9 CPU (Celsius) | |
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| p1_temp_mean | float | Mean core temperature of the second Power9 CPU (Celsius) | |
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| p1_temp_min | float | Minimum core temperature of the second Power9 CPU (Celsius) | |
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| ps0_input_power | float | AC input power consumption of the first node power supply (Watts) | |
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| ps1_input_power | float | AC input power consumption of the second node power supply (Watts) | |
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## How to use it |
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You can load the dataset with the following lines of code. |
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```` |
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from datasets import load_dataset |
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ds = load_dataset("MachaParfait/ClusterWise") |
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```` |
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## License/Terms of Use |
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This dataset is licensed under the Creative Commons Attribution 4.0 International License (CC BY 4.0) available at [https://creativecommons.org/licenses/by/4.0/legalcode](https://creativecommons.org/licenses/by/4.0/legalcode). |
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## Data Version |
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1.0 (05/15/2025) |
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## Intended use |
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The Clusterwise Dataset is intended to be used by the community to continue to improve open models. The data may be freely used to train models. **However, for each dataset an user elects to use, the user is responsible for checking if the dataset license is fit for the intended purpose**. |
