Ruohan Wu, Mingfan Li, Hanxi Li, Tianxiang Chen, Xinghui Tian, Xiaoxin Xu, Bin Zhou, Junshi Chen∗ , Hong An

待补充

高性能计算与并行算法方向论文：Ruohan Wu, Mingfan Li, Hanxi Li, Tianxiang Chen, Xinghui Tian, Xiaoxin X

内容导读Reading note

分类与摘要Category & abstract

关注大规模并行算法、超算平台和性能优化，是 HPC 方向的重要条目。

Metadata

完整论文信息Full record

title: Ruohan Wu, Mingfan Li, Hanxi Li, Tianxiang Chen, Xinghui Tian, Xiaoxin Xu, Bin Zhou, Junshi Chen∗ , Hong An
title_zh: 待补充
abstract: 待补充
abstract_zh: 待补充
keywords: HPC, AI, 学位认定 C, CCF C
year: 2022
published_date: 待补充
online_date: 待补充
paper_type: Journal
publication_status: Published
volume: 待补充
issue: 待补充
pages: 待补充
article_number: 待补充
publisher: IEEE
doi: 待补充
research_area: 高性能计算与并行算法
tags: HPC, AI, 学位认定 C, CCF C
category: 高性能计算与并行算法
summary: 关注大规模并行算法、超算平台和性能优化，是 HPC 方向的重要条目。
authors: 待补充
corresponding_authors: 待补充
affiliations: 待补充
funding: 待补充

Research area

高性能计算与并行算法

Citation

Ruohan Wu, Mingfan Li, Hanxi Li, Tianxiang Chen, Xinghui Tian, Xiaoxin Xu, Bin Zhou, Junshi Chen∗ , Hong An，Machine Learning-enabled Performance Model for DNN Applications and AI Accelerator”. In 2022 IEEE 24th Int Conf on High Performance Computing & Communications (HPCC 2022), Chengdu, China, December 18-21, 2022.

BibTeX

@article{acsa2022_56,
  title = {Ruohan Wu, Mingfan Li, Hanxi Li, Tianxiang Chen, Xinghui Tian, Xiaoxin Xu, Bin Zhou, Junshi Chen∗ , Hong An},
  year = {2022},
  doi = {}
}