Evaluation of Programming Models to Address Load Imbalance on Distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization-Reference-Cited by-同舟云学术

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Evaluation of Programming Models to Address Load Imbalance on Distributed Multi-Core CPUs: A Case Study with Block Low-Rank Factorization

Published:2019-11 Issue: Volume: Page:
ISSN:
Container-title:2019 IEEE/ACM Parallel Applications Workshop, Alternatives To MPI (PAW-ATM)
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Author:

Pei Yu,Bosilca George,Yamazaki Ichitaro,Ida Akihiro,Dongarra Jack

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9048068/9062700/09062701.pdf?arnumber=9062701

Cited by 5 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. Cache Optimization and Performance Modeling of Batched, Small, and Rectangular Matrix Multiplication on Intel, AMD, and Fujitsu Processors;ACM Transactions on Mathematical Software;2023-09-19

2. Towards Achieving Transparent Malleability Thanks to MPI Process Virtualization;Lecture Notes in Computer Science;2023

3. Sequential Task Flow Runtime Model Improvements and Limitations;2022 IEEE/ACM International Workshop on Runtime and Operating Systems for Supercomputers (ROSS);2022-11

4. Solving Block Low-Rank Matrix Eigenvalue Problems;Journal of Information Processing;2022

5. Communication-Aware Load Balancing of the LU Factorization over Heterogeneous Clusters;2020 IEEE 26th International Conference on Parallel and Distributed Systems (ICPADS);2020-12

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