AAIC Workload

Wed, 19 Jan 2022 JST
This is a workload set of jobs run on GPU nodes of AIST Artificial Intelligence Cloud (AAIC) system. As AAIC is dedicatedly used for AI research, many jobs in the workload are expected to be run for training deep learning applications. The workload contains jobs submitted from July 14th, 2017 to December 31st, 2018.
Creator :
Continuum Computing Architecture Research Team, DigiARC, AIST
License :
Created Date : Wed, 26 Jun 2019 JST
First Publication Date : Wed, 26 Jun 2019 JST
Citation :
  • 滝澤 真一朗, 小川 宏高, 高野 了成, 大規模GPUクラスタにおける深層学習ワークロードの 傾向把握, 第170回ハイパフォーマンスコンピューティング研究会, July, 2019.
  • Shinichiro Takizawa, Ryousei Takano. Effect of an Incentive Implementation for Specifying Accurate Walltime in Job Scheduling. Proceedings of the International Conference on High Performance Computing in Asia-Pacific Region (HPCAsia2020), Jan. 2020.
Tue, 25 Oct 2022 11:24:40 JST