hiCUDA

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hiCUDA: a high-level directive-based language for GPU programming

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ACM International Conference Proceeding Series; Vol. 383 archive
Proceedings of 2nd Workshop on General Purpose Processing on Graphics Processing Units table of contents

Washington, D.C.

Pages 52-61

Year of Publication: 2009

ISBN:978-1-60558-517-8

Authors

Tianyi David Han	University of Toronto, Toronto, Ontario, Canada
Tarek S. Abdelrahman	University of Toronto, Toronto, Ontario, Canada

Publisher

ACM New York, NY, USA

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ABSTRACT

The Compute Unified Device Architecture (CUDA) has become a de facto standard for programming NVIDIA GPUs. However, CUDA places on the programmer the burden of packaging GPU code in separate functions, of explicitly managing data transfer between the host memory and various components of the GPU memory, and of manually optimizing the utilization of the GPU memory. Practical experience shows that the programmer needs to make significant code changes, which are often tedious and error-prone, before getting an optimized program. We have designed hiCUDA, a high-level directive-based language for CUDA programming. It allows programmers to perform these tedious tasks in a simpler manner, and directly to the sequential code. Nonetheless, it supports the same programming paradigm already familiar to CUDA programmers. We have prototyped a source-to-source compiler that translates a hiCUDA program to a CUDA program. Experiments using five standard CUDA bechmarks show that the simplicity and flexibility hiCUDA provides come at no expense to performance.

REFERENCES

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