| --- |
| pretty_name: HPC-Bench Input Data |
| license: other |
| license_name: upstream-benchmark-licenses |
| tags: |
| - hpc |
| - benchmark |
| - code-optimization |
| - llm-evaluation |
| - openmp |
| - cuda |
| size_categories: |
| - n<1K |
| --- |
| |
| # HPC-Bench Input Data |
|
|
| Input datasets for **HPC-Bench: A Comprehensive Benchmark for High Performance Computing Codes** (NeurIPS 2026 Evaluations and Datasets Track). |
|
|
| Code, benchmarks, and evaluation pipeline: https://github.com/Deep-Learning-Profiling-Tools/HPC-Bench |
|
|
| ## Contents |
|
|
| One zip archive per (setting, benchmark), each containing the benchmark's `input_data/` directory with all five standardized input scales (mini, small, medium, large, extra-large). |
|
|
| | Path | Setting | Archives | |
| |:---|:---|---:| |
| | `input_data/EX1/<benchmark>.zip` | Serial CPU optimization | 92 | |
| | `input_data/EX2/<benchmark>.zip` | OpenMP CPU parallelization | 92 | |
| | `input_data/EX3/<benchmark>.zip` | CUDA GPU optimization | 23 | |
|
|
| `manifest.csv` lists every archive with its size and SHA-256 checksum. The EX3 `nn` benchmark generates its input at run time and has no archive. |
|
|
| ## Download |
|
|
| Do not download these files by hand. From a clone of the GitHub repository, one command downloads the archives, verifies their checksums, and extracts each one into `EX*/<benchmark>/input_data/`: |
|
|
| ```bash |
| python tools/fetch_input_data.py # everything (~38 GB zipped) |
| python tools/fetch_input_data.py --ex EX1 # one setting |
| python tools/fetch_input_data.py --benchmarks 2mm,bfs # selected benchmarks |
| ``` |
|
|
| ## License |
|
|
| The input data are derived from the upstream benchmark suites (PolyBench, Rodinia, Parboil, MachSuite, MiBench, PARSEC, and Codee) and remain subject to their respective licenses. |
|
|
