"HSMU-SpGEMM: Achieving High Shared Memory Utilization for Parallel Sparse ..."

Min Wu et al. (2025)

> Home

Details and statistics

DOI: 10.1109/HPCA61900.2025.00109

access: closed

type: Conference or Workshop Paper

metadata version: 2025-05-31

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/hpca/WuLLZT00L25
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/hpca/WuLLZT00L25
Min Wu, Huizhang Luo, Fenfang Li, Yiran Zhang, Zhuo Tang, Kenli Li, Jeff Zhang, Chubo Liu:
HSMU-SpGEMM: Achieving High Shared Memory Utilization for Parallel Sparse General Matrix-Matrix Multiplication on Modern GPUs. HPCA 2025: 1452-1466

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.