Description: Solution for large-scale optimization problems in LA need to consume a lot of time when not achieve real-time issues, combined with high-speed GPU parallelism, we propose a novel GPU (Graphics Processing Unit, GPU) to accelerate the fine-grained parallel immune algorithm . The algorithm with CUJDA (Compute Unifled Device Architecture, CUDA) unified architecture, the implementation process into the process of parallel computing CUDA thread block, making the immune algorithm to accelerate the implementation of the GPU, the optimization to achieve better results in the same time, to solve the fine-grained degree of parallel group size restrictions, to improve the algorithm speed.
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基于GPU加速的细粒度模型并行免疫算法研究.pdf
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