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README.md

ST-DPBench - Standalone benchmarks to evaluate Data-Parallel Extensions for Python

This directory contains standalone DPC++ and numba-dpex implementations of DPBench workloads. These implementations are meant be executed independent of dpbench infrastructure.

Setting up the benchmarks

  1. Install DPC++ compiler.

  2. Setup conda enviroment

    conda create -n st_dpbench conda activate st_dpbench conda install -c dppy/label/dev -c intel numba-dpex scikit-learn

  3. Refer to README in each workload directory for specific instructions on how to run the workload.