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license: cc-by-4.0
task_categories:
- time-series-forecasting
language:
- en
tags:
- HPC
pretty_name: ClusterWise
size_categories:
- 100B<n<1T
---
## Data Overview
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:
- Job scheduler logs
- GPU failure event logs
- High-resolution temperature measurements from CPUs and GPUs
- Detailed power consumption metrics among components
- Physical layout information of the nodes
The complete dataset related pipeline is available in our [GitHub repository](https://github.com/AnemonePetal/hpc_dataset), enabling reproduction of the full 450GB dataset.
This dataset is ready for commercial/non-commercial use.
## Data Fields
| Field | Type | Description |
| :-------------- | :------------ | :---------------------------------------------------------------------------------------------- |
| timestamp | timestamp[ms] | Timestamp of the record |
| node_state | string | State of the node |
| 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). |
| job_begin_time | timestamp[ms] | Timestamp of when the job started |
| job_end_time | timestamp[ms] | Timestamp of when the job terminated |
| allocation_id | int64 | Unique identifier of the job |
| label | float64 | Indicates if the record corresponds to a failure event (e.g., 1 for failure, 0 for normal) |
| xid | float64 | Nvidia error code representing failure type |
| gpu0_core_temp | float | Core temperature of the 1st Nvidia V100 GPU attached to the first Power9 CPU (Celsius) |
| gpu0_mem_temp | float | Memory (HBM) temperature of the 1st Nvidia V100 GPU attached to the first Power9 CPU (Celsius) |
| gpu1_core_temp | float | Core temperature of the 2nd Nvidia V100 GPU attached to the first Power9 CPU (Celsius) |
| gpu1_mem_temp | float | Memory (HBM) temperature of the 2nd Nvidia V100 GPU attached to the first Power9 CPU (Celsius) |
| gpu2_core_temp | float | Core temperature of the 3rd Nvidia V100 GPU attached to the first Power9 CPU (Celsius) |
| gpu2_mem_temp | float | Memory (HBM) temperature of the 3rd Nvidia V100 GPU attached to the first Power9 CPU (Celsius) |
| gpu3_core_temp | float | Core temperature of the 1st Nvidia V100 GPU attached to the second Power9 CPU (Celsius) |
| gpu3_mem_temp | float | Memory (HBM) temperature of the 1st Nvidia V100 GPU attached to the second Power9 CPU (Celsius) |
| gpu4_core_temp | float | Core temperature of the 2nd Nvidia V100 GPU attached to the second Power9 CPU (Celsius) |
| gpu4_mem_temp | float | Memory (HBM) temperature of the 2nd Nvidia V100 GPU attached to the second Power9 CPU (Celsius) |
| gpu5_core_temp | float | Core temperature of the 3rd Nvidia V100 GPU attached to the second Power9 CPU (Celsius) |
| gpu5_mem_temp | float | Memory (HBM) temperature of the 3rd Nvidia V100 GPU attached to the second Power9 CPU (Celsius) |
| p0_gpu0_power | float | DC power consumption of the 1st Nvidia V100 GPU attached to the first Power9 CPU (Watts) |
| p0_gpu1_power | float | DC power consumption of the 2nd Nvidia V100 GPU attached to the first Power9 CPU (Watts) |
| p0_gpu2_power | float | DC power consumption of the 3rd Nvidia V100 GPU attached to the first Power9 CPU (Watts) |
| p0_power | float | DC power consumption of the first Power9 CPU in the node (Watts) |
| p0_temp_max | float | Maximum core temperature of the first Power9 CPU (Celsius) |
| p0_temp_mean | float | Mean core temperature of the first Power9 CPU (Celsius) |
| p0_temp_min | float | Minimum core temperature of the first Power9 CPU (Celsius) |
| p1_gpu0_power | float | DC power consumption of the 1st Nvidia V100 GPU attached to the second Power9 CPU (Watts) |
| p1_gpu1_power | float | DC power consumption of the 2nd Nvidia V100 GPU attached to the second Power9 CPU (Watts) |
| p1_gpu2_power | float | DC power consumption of the 3rd Nvidia V100 GPU attached to the second Power9 CPU (Watts) |
| p1_power | float | DC power consumption of the second Power9 CPU in the node (Watts) |
| p1_temp_max | float | Maximum core temperature of the second Power9 CPU (Celsius) |
| p1_temp_mean | float | Mean core temperature of the second Power9 CPU (Celsius) |
| p1_temp_min | float | Minimum core temperature of the second Power9 CPU (Celsius) |
| ps0_input_power | float | AC input power consumption of the first node power supply (Watts) |
| ps1_input_power | float | AC input power consumption of the second node power supply (Watts) |
## How to use it
You can load the dataset with the following lines of code.
````
from datasets import load_dataset
ds = load_dataset("MachaParfait/ClusterWise")
````
## License/Terms of Use
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).
## Data Version
1.0 (05/15/2025)
## Intended use
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**. |