A massive data parallel computational framework for petascale/exascale hybrid computer systems
Heterogeneous systems are becoming more common on High Performance Computing
(HPC) systems. Even using tools like CUDA [1] and OpenCL [2] it is a non-trivial task to
obtain optimal performance on the GPU. Approaches to simplifying this task include Merge
[3](a library based framework for heterogeneous multi-core systems), Zippy [4](a framework
for parallel execution of codes on multiple GPU's), BSGP [5](a new programming language
for general purpose computation on the GPU) and CUDA-lite [6](an enhancement to CUDA …
(HPC) systems. Even using tools like CUDA [1] and OpenCL [2] it is a non-trivial task to
obtain optimal performance on the GPU. Approaches to simplifying this task include Merge
[3](a library based framework for heterogeneous multi-core systems), Zippy [4](a framework
for parallel execution of codes on multiple GPU's), BSGP [5](a new programming language
for general purpose computation on the GPU) and CUDA-lite [6](an enhancement to CUDA …
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