Trapped Capacity: Scheduling under a Power Cap to Maximize Machine-Room Throughput-Reference-Cited by-同舟云学术

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Trapped Capacity: Scheduling under a Power Cap to Maximize Machine-Room Throughput

Published:2014-11 Issue: Volume: Page:
ISSN:
Container-title:2014 Energy Efficient Supercomputing Workshop
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Author:

Zhang Ziming,Lang Michael,Pakin Scott,Fu Song

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/7014616/7016376/07016386.pdf?arnumber=7016386

Cited by 13 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. Energy-Aware Scheduling for High-Performance Computing Systems: A Survey;Energies;2023-01-12

2. Evaluating adaptive and predictive power management strategies for optimizing visualization performance on supercomputers;Parallel Computing;2021-07

3. What does Power Consumption Behavior of HPC Jobs Reveal? : Demystifying, Quantifying, and Predicting Power Consumption Characteristics;2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2020-05

4. Performance optimality or reproducibility;Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis;2019-11-17

5. Comparing GPU Power and Frequency Capping: A Case Study with the MuMMI Workflow;2019 IEEE/ACM Workflows in Support of Large-Scale Science (WORKS);2019-11

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