Hybrid CUDA, OpenMP, and MPI parallel programming on multicore GPU clusters

@article{Yang2011HybridCO,
  title={Hybrid CUDA, OpenMP, and MPI parallel programming on multicore GPU clusters},
  author={Chao-Tung Yang and Chih-Lin Huang and Cheng-Fang Lin},
  journal={Computer Physics Communications},
  year={2011},
  volume={182},
  pages={266-269}
}
a r t i c l e i n f o a b s t r a c t Nowadays, NVIDIA's CUDA is a general purpose scalable parallel programming model for writing highly parallel applications. It provides several key abstractions – a hierarchy of thread blocks, shared memory, and barrier synchronization. This model has proven quite successful at programming multithreaded many core GPUs and scales transparently to hundreds of cores: scientists throughout industry and academia are already using CUDA to achieve dramatic speedups… CONTINUE READING
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OpenGL(R) Programming Guide: The Official Guide to Learning OpenGL(R), Version 2.1, 6th edition, Addison–Wesley Professional

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