高性能计算与并行算法

Understanding the SIMD Efficiency of Graph Traversal on GPU

高性能计算与并行算法方向论文:Understanding the SIMD Efficiency of Graph Traversal on GPU

GPUHPCArchitecture学位认定 CCCF C

分类与摘要

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。

引用

Yichao Cheng, Hong An, Zhitao Chen, Feng Li,Understanding the SIMD Efficiency of Graph Traversal on GPU,Proceedings of 14th International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP 2014), 8630 LNCS PART 1,pp 42-56, DaLian, China, August 24-27, 2014

@article{acsa2014_120,
  title = {Understanding the SIMD Efficiency of Graph Traversal on GPU},
  year = {2014},
  doi = {10.1007/978-3-319-11197-1_4}
}
title Understanding the SIMD Efficiency of Graph Traversal on GPU
title_zh 待补充
abstract 待补充
abstract_zh 待补充
keywords GPU, HPC, Architecture, 学位认定 C, CCF C
year 2014
published_date 待补充
online_date 待补充
paper_type Conference
publication_status Published
volume 待补充
issue 待补充
pages 待补充
article_number 待补充
publisher 待补充
doi 10.1007/978-3-319-11197-1_4
research_area 高性能计算与并行算法
tags GPU, HPC, Architecture, 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 Yichao Cheng, Hong An, Zhitao Chen, Feng Li
corresponding_authors 安虹
affiliations 待补充
funding 待补充