Light-Weight Prediction for Improving Energy Consumption in HPC Platforms
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-69577-3_11
Reference23 articles.
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2. Bates, N., et al.: Electrical grid and supercomputing centers: an investigative analysis of emerging opportunities and challenges. Informatik-Spektrum 38(2), 111–127 (2015)
3. Lecture Notes in Computer Science;A Borghesi,2016
4. Borghesi, A., et al.: M100 ExaData: a data collection campaign on the CINECA’s marconi100 tier-0 supercomputer. Sci. Data 10(1), 288 (2023)
5. Bugbee, B., Phillips, C., Egan, H., Elmore, R., Gruchalla, K., Purkayastha, A.: Prediction and characterization of application power use in a high-performance computing environment. Stat. Anal. Data Mining ASA Data Sci. J. 10(3), 155–165 (2017)
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