南昌大学超算队's repositories
NCUSCC.github.io
南昌大学超算队官方网站
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.
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.
NCUSCC-BLOG
南昌大学超算队博客（建设中）
NCUSCC_SC23_Selection_Test
NCUSCC SC23 Selection Test（A DEMO）
ASC24-LLM-inference-optimization
The dataset and baseline code for ASC24 LLM inference optimization challenge.
cgc_NCU-SCC
南昌大学 CCFSys**图计算（GCN推理优化）挑战赛 第四名方案
NCUSCC_ASC24_Selection_Test
NCUSCC_ASC24_Selection_Test
OpenCAEPoro
Open source simulator for porous media flow
OpenCAEPoro_ASC2024
OpenCAEPoro for ASC 2024