ncuscc Goto Github PK
Name: 南昌大学超算队
Type: Organization
Bio: Student Cluster Competition Team, Nanchang University
Twitter: ncuscc_hpc
Location: China
Name: 南昌大学超算队
Type: Organization
Bio: Student Cluster Competition Team, Nanchang University
Twitter: ncuscc_hpc
Location: China
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.
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.
The dataset and baseline code for ASC24 LLM inference optimization challenge.
南昌大学 CCFSys**图计算(GCN推理优化)挑战赛 第四名方案
南昌大学超算队博客(建设中)
南昌大学超算队官方网站
NCUSCC_ASC24_Selection_Test
NCUSCC SC23 Selection Test(A DEMO)
Open source simulator for porous media flow
OpenCAEPoro for ASC 2024
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