Exploiting Hierarchical Parallelism and Reusability in Tensor Kernel Processing on Heterogeneous HPC Systems

Author:

Chen Yuedan1,Xiao Guoqing1,Ozsu M. Tamer2,Tang Zhuo1,Zomaya Albert Y.3,Li Kenli1

Affiliation:

1. College of Computer Science and Electronic Engineering, Hunan University,Changsha,China

2. David R. Cheriton School of Computer Science, University of Waterloo,Waterloo,Canada

3. School of Computer Science, University of Sydney,Sydney,Australia

Funder

National Key R&D Program of China

NSFC

Natural Sciences and Engineering Research Council

Publisher

IEEE

Reference47 articles.

1. MatRox

2. Sparta

3. Fast and concurrent RDF queries using rdma-assisted GPU graph exploration;wang;USENIX Annual Technical Conference,0

4. Efficient and effective sparse tensor reordering

5. AccPar: Tensor Partitioning for Heterogeneous Deep Learning Accelerators

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