Characterizing and Modeling Power and Energy for Extreme-Scale In-Situ Visualization
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7965806/7967079/07967188.pdf?arnumber=7967188
Cited by 6 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. Inshimtu – A Lightweight In Situ Visualization “Shim”;Lecture Notes in Computer Science;2023
2. Trigger Happy: Assessing the Viability of Trigger-Based In Situ Analysis;2021 IEEE 11th Symposium on Large Data Analysis and Visualization (LDAV);2021-10
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. SeeSAw: Optimizing Performance of In-Situ Analytics Applications under Power Constraints;2020 IEEE International Parallel and Distributed Processing Symposium (IPDPS);2020-05
5. Comparing the Efficiency of In Situ Visualization Paradigms at Scale;Lecture Notes in Computer Science;2019
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