Characterizing and predicting the I/O performance of HPC applications using a parameterized synthetic benchmark
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx5/5206875/5213127/05222721.pdf?arnumber=5222721
Cited by 29 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. Modeling the Impact of System-Level Parameters on I/O Performance of HPC Applications;2023 31st International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems (MASCOTS);2023-10-16
3. Conflict-aware workload co-execution on SX-aurora TSUBASA;CCF Transactions on High Performance Computing;2023-10-05
4. I/O Access Patterns in HPC Applications: A 360-Degree Survey;ACM Computing Surveys;2023-09-15
5. Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis;Journal of Big Data;2023-05-17
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