Performance and Power Efficient Massive Parallel Computational Model for HPC Heterogeneous Exascale Systems-Reference-Cited by-同舟云学术

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Performance and Power Efficient Massive Parallel Computational Model for HPC Heterogeneous Exascale Systems

Published:2018 Issue: Volume:6 Page:23095-23107
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Ashraf M. Usman^ORCID,Alburaei Eassa Fathy,Ahmad Albeshri Aiiad,Algarni Abdullah

Funder

Deanship of Scientific Research at King Abdulaziz University, Jeddah

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

http://xplorestaging.ieee.org/ielx7/6287639/8274985/08334408.pdf?arnumber=8334408

Cited by 24 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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3. Frustrated With MPI+Threads? Try MPIxThreads!;Proceedings of the 30th European MPI Users' Group Meeting;2023-09-11

4. Convergence of HPC and Big Data in extreme-scale data analysis through the DCEx programming model;2022 IEEE 34th International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD);2022-11

5. AAQAL: A Machine Learning-Based Tool for Performance Optimization of Parallel SPMV Computations Using Block CSR;Applied Sciences;2022-07-13

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