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Euro-Par2020-Accelerate.zip (387.48 kB)

Artifact for Euro-Par 2020 paper Accelerating Nested Data Parallelism: Preserving Regularity

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posted on 2020-07-03, 14:58 authored by Lars van den Haak, Trevor McDonell, Gabriele Keller, Ivo Gabe de Wolff
This artifact is concerned with Section 5 (Evaluation) of the paper "Accelerating Nested Data Parallelism: Preserving Regularity". It runs benchmarks of a nested quicksort and a nested fourier transformation in Accelerate comparing the results with Futhark. Both Accelerate and Futhark are data parallel languages. To run the benchmarks, a Nvidia GPU is needed, it is made to run on Ubuntu. The benchmarks can be run with Docker or the dependency can be manually installed and runs bash scripts.

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    European Conference on Parallel Processing

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