IEEE International Symposium on High Performance Computer Architecture, HPCA 2018


Article Details
Title: Accelerate GPU Concurrent Kernel Execution by Mitigating Memory Pipeline Stalls
Article URLs:
Alternative Article URLs:
Authors: Hongwen Dai
  • North Carolina State University, Department of Electrical and Computer Engineering
Zhen Lin
  • North Carolina State University, Department of Electrical and Computer Engineering
Chao Li
  • North Carolina State University, Department of Electrical and Computer Engineering
Chen Zhao
  • Xi’an Jiaotong University, School of Electrical and Information Engineering
Fei Wang
  • Xi’an Jiaotong University, School of Electrical and Information Engineering
Nanning Zheng
  • Xi’an Jiaotong University, School of Electrical and Information Engineering
Huiyang Zhou
  • North Carolina State University, Department of Electrical and Computer Engineering
Sharing: Unknown
Verification: Authors have not verified information
Artifact Evaluation Badge: none
Artifact URLs:
Artifact Correspondence Email Addresses:
NSF Award Numbers: 1618509
DBLP Key: conf/hpca/DaiLLZWZZ18
Author Comments:

Discuss this paper and its artifacts below