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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.
|