A high-performance computing method based on cpu-gpu cooperative parallel text topic model lda
A high-performance computing, topic model technology, applied in computing, unstructured text data retrieval, text database clustering/classification, etc., can solve the problems of single platform and low computing efficiency
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[0064] This embodiment provides a high-performance computing method based on CPU-GPU cooperative parallel text topic model LDA, please refer to figure 1 , the method includes:
[0065] Step S1: Based on the dynamic programming algorithm, optimize the allocation of two heterogeneous computing resources, CPU and GPU, and obtain an optimal allocation plan for resources.
[0066] Specifically, in a CPU-GPU heterogeneous system, reasonable resource allocation is crucial to efficiently utilizing the system's computing power. When the present invention uses a dynamic programming algorithm for resource allocation, on the CPU side, the calculation threads and task allocation threads can be reasonably allocated according to the number of threads supported by the CPU; on the GPU side, GPU hardware resource constraints, algorithm storage requirements and general The GPU programming optimization rules transform the problem of optimal allocation of GPU computing resources into a problem of...
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