HPC Storage Service Autotuning Using Variational- Autoencoder -Guided Asynchronous Bayesian Optimization

Distributed data storage services tailored to specific applications have grown popular in the high-performance computing (HPC) community as a way to address I/O and storage challenges. These services offer a variety of specific interfaces, semantics, and data representations. They also expose many t...

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Veröffentlicht in:	Proceedings / IEEE International Conference on Cluster Computing S. 381 - 393
Hauptverfasser:	Dorier, Matthieu, Egele, Romain, Balaprakash, Prasanna, Koo, Jaehoon, Madireddy, Sandeep, Ramesh, Srinivasan, Malony, Allen D., Ross, Rob
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 01.09.2022
Schlagworte:	Autotuning Bayes methods Bayesian Optimization DeepHyper HPC I/O Mochi Probability distribution Resource management Semantics Storage Supercomputers Systematics Transfer learning
ISSN:	2168-9253
Online-Zugang:	Volltext
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