Supporting HPC Analytics Applications with Access Patterns Using Data Restructuring and Data-Centric Scheduling Techniques in MapReduce-Reference-Cited by-同舟云学术

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Supporting HPC Analytics Applications with Access Patterns Using Data Restructuring and Data-Centric Scheduling Techniques in MapReduce

Published:2013-01 Issue:1 Volume:24 Page:158-169
ISSN:1045-9219
Container-title:IEEE Transactions on Parallel and Distributed Systems
language:
Short-container-title:IEEE Trans. Parallel Distrib. Syst.

Author:

Sehrish Saba,Mackey Grant,Shang Pengju,Wang Jun,Bent John

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computational Theory and Mathematics,Hardware and Architecture,Signal Processing

Link

http://xplorestaging.ieee.org/ielx5/71/6365207/06171166.pdf?arnumber=6171166

Cited by 18 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. I/O Access Patterns in HPC Applications: A 360-Degree Survey;ACM Computing Surveys;2023-09-15

2. Optimization of Workload Balancing and Power Allocation for Wireless Distributed Computing;IEEE Transactions on Wireless Communications;2022-09

3. Distributed Deep Learning for Remote Sensing Data Interpretation;Proceedings of the IEEE;2021-08

4. Big Data Resource Management & Networks: Taxonomy, Survey, and Future Directions;IEEE Communications Surveys & Tutorials;2021

5. Cross-Cloud MapReduce for Big Data;IEEE Transactions on Cloud Computing;2020-04-01

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