Abstract
As the representative of common programmable stream processor, the performance of GPU develops rapidly, which has broken Moore's law which is obeyed by CPU. GPU applies the performance of programmability and functional expansibility to support complicated computation and process, and the feature has been acknowledged in the industry. The paper deeply researches programmable model CUDA based on NVIDIA GPU, and analyzes CUDA technique. And the paper applies MPI+CUDA hybrid programming model and common stream processor to load the model, which not only separates the control of stream processor cluster from computation, and optimizes multi-data stream processing strategy, but also promotes the performance of stream processor cluster system compared with traditional x86 cluster system.
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