Low-level functional GPU programming for parallel algorithms
| Autor: | Martin Elsman, Bo Joel Svensson, Mary Sheeran, Martin Dybdal |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Programming language Code reuse Parallel algorithm 020207 software engineering 02 engineering and technology Parallel computing computer.software_genre NESSIE CUDA 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Haskell Array programming General-purpose computing on graphics processing units MATLAB computer computer.programming_language |
| Zdroj: | FHPC@ICFP |
| DOI: | 10.1145/2975991.2975996 |
| Popis: | We present a Functional Compute Language (FCL) for low-level GPU programming. FCL is functional in style, which allows for easy composition of program fragments and thus easy prototyping and a high degree of code reuse. In contrast with projects such as Futhark, Accelerate, Harlan, Nessie and Delite, the intention is not to develop a language providing fully automatic optimizations, but instead to provide a platform that supports absolute control of the GPU computation and memory hierarchies. The developer is thus required to have an intimate knowledge of the target platform, as is also required when using CUDA/OpenCL directly. FCL is heavily inspired by Obsidian. However, instead of relying on a multi-staged meta-programming approach for kernel generation using Haskell as meta-language, FCL is completely self-contained, and we intend it to be suitable as an intermediate language for data-parallel languages, including data-parallel parts of high-level array languages, such as R, Matlab, and APL. We present a type-system and a dynamic semantics suitable for understanding the performance characteristics of both FCL and Obsidian-style programs. Our aim is that FCL will be useful as a platform for developing new parallel algorithms, as well as a target-language for various code-generators targeting GPU hardware. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|