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...

Full description

Bibliographic Details

Published in:	Proceedings / IEEE International Conference on Cluster Computing pp. 381 - 393
Main Authors:	Dorier, Matthieu, Egele, Romain, Balaprakash, Prasanna, Koo, Jaehoon, Madireddy, Sandeep, Ramesh, Srinivasan, Malony, Allen D., Ross, Rob
Format:	Conference Proceeding
Language:	English
Published:	IEEE 01.09.2022
Subjects:	Autotuning Bayes methods Bayesian Optimization DeepHyper HPC I/O Mochi Probability distribution Resource management Semantics Storage Supercomputers Systematics Transfer learning
ISSN:	2168-9253
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!