Time-Based Roofline for Deep Learning Performance Analysis
Author:
Affiliation:
1. Lawrence Berkeley National Laboratory,National Energy Research Scientific Computing Center,Berkeley,CA,USA
2. NVIDIA Corporation,Santa Clara,CA,USA
3. Lawrence Berkeley National Laboratory,Computational Research Division,Berkeley,CA,USA
Funder
U.S. Department of Energy
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9297111/9297112/09297122.pdf?arnumber=9297122
Cited by 8 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
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2. GPU performance analysis for viscoacoustic wave equations using fast stencil computation from the symbolic specification;The Journal of Supercomputing;2023-03-20
3. Performance Analysis and Benchmarking of a Temperature Downscaling Deep Learning Model;2023 31st Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP);2023-03
4. Analyzing I/O Performance of a Hierarchical HPC Storage System for Distributed Deep Learning;Parallel and Distributed Computing, Applications and Technologies;2023
5. MD-Roofline: A Training Performance Analysis Model for Distributed Deep Learning;2022 IEEE Symposium on Computers and Communications (ISCC);2022-06-30
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