Research on Parallel Optimization of High Performance Computing for Non volatile Memory
To study the problem of non-volatile memory computing parallel optimization method for non-volatile memory.Combined with the new high-speed network RDMA and non-volatile storage equipment,a new storage structure of distributed non-volatile memory is proposed,including the consistency module and local non-volatile memory management module,and strengthening the management of local non-volatile memory;conduct distributed parallel computing through SPL framework,and optimize the parallel computing process of multi-task and multi-threading after data preloading by distributed independent memory allocation algorithm.The experimental results show that this method can keep the data of non-volatile memory consistent,enhance the read and write performance,improve the work efficiency;expand the memory allocation of parallel multi-threaded tasks,enhance the parallel computing ability of the system,and have wide applicability.
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