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南昌大学超算队's Projects

asc22-deepmd icon asc22-deepmd

We analyse the workflow of DeePMD-kit. Moreover, we design the strategies used to optimize the performance in the process of the training process. In the end, we evaluate the efficiency of our approaches and come to a conclusion.

asc22-yuan icon asc22-yuan

We use parallel strategy and various acceleration training methods to complete Yuan Challenge, the current largest singleton language model with 246B parameters, which achieved excellent performance on thousands GPUs, and state-of-the-art results on different natural language processing tasks.

cgc_ncu-scc icon cgc_ncu-scc

南昌大学 CCFSys**图计算(GCN推理优化)挑战赛 第四名方案

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