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Exploiting Multiple Levels of Parallelism in Sparse Matrix-Matrix Multiplication

  • Published:2016-01 Issue:6 Volume:38 Page:C624-C651
  • ISSN:1064-8275
  • Container-title:SIAM Journal on Scientific Computing
  • language:en
  • Short-container-title:SIAM J. Sci. Comput.

Author:

Azad Ariful,Ballard Grey,Buluç Aydin,Demmel James,Grigori Laura,Schwartz Oded,Toledo Sivan,Williams Samuel

Funder

U.S. Department of Energy

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,Computational Mathematics

Cited by 68 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Optimization of Sparse Matrix Computation for Algebraic Multigrid on GPUs;ACM Transactions on Architecture and Code Optimization;2024-09-14

2. DB-SpGEMM: A Massively Distributed Block-Sparse Matrix-Matrix Multiplication for Linear-Scaling DFT Calculations;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

3. Sparsity-Aware Communication for Distributed Graph Neural Network Training;Proceedings of the 53rd International Conference on Parallel Processing;2024-08-12

4. NeuraChip: Accelerating GNN Computations with a Hash-based Decoupled Spatial Accelerator;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29

5. HAM-SpMSpV: an Optimized Parallel Algorithm for Masked Sparse Matrix-Sparse Vector Multiplications on multi-core CPUs;Proceedings of the 33rd International Symposium on High-Performance Parallel and Distributed Computing;2024-06-03
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