A Composable Array Function Interface for Heterogeneous Computing in Java

Author:

Fumero Juan José1,Steuwer Michel2,Dubach Christophe1

Affiliation:

1. University of Edinburgh, UK

2. University of Münster, Germany

Publisher

ACM

Reference21 articles.

1. Aparapi. https://code.google.com/p/aparapi/. Aparapi. https://code.google.com/p/aparapi/.

2. Project Sumatra. http://openjdk.java.net/projects/sumatra/. Project Sumatra. http://openjdk.java.net/projects/sumatra/.

3. Copperhead

4. Accelerating Haskell array codes with multicore GPUs

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1. Using compiler snippets to exploit parallelism on heterogeneous hardware: a Java reduction case study;Proceedings of the 10th ACM SIGPLAN International Workshop on Virtual Machines and Intermediate Languages;2018-11-04

2. Towards practical heterogeneous virtual machines;Conference Companion of the 2nd International Conference on Art, Science, and Engineering of Programming;2018-04-09

3. Exploration of Supervised Machine Learning Techniques for Runtime Selection of CPU vs. GPU Execution in Java Programs;Accelerator Programming Using Directives;2018

4. Exploiting high-performance heterogeneous hardware for Java programs using graal;Proceedings of the 15th International Conference on Managed Languages & Runtimes - ManLang '18;2018

5. Heterogeneous Managed Runtime Systems;ACM SIGPLAN Notices;2017-09-14

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