Artifact for Euro-Par 2020 paper Accelerating Nested Data Parallelism: Preserving Regularity
- van den Haak, Lars
- McDonell, Trevor L.
- Keller, Gabriele K.
- de Wolff, Ivo Gabe
- Software Engineering and Technology
- Utrecht University
DOIAbstract
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
Add to ORKG