Mochi: Composing Data Services for High-Performance Computing Environments

Technology enhancements and the growing breadth of application workflows running on high-performance computing (HPC) platforms drive the development of new data services that provide high performance on these new platforms, provide capable and productive interfaces and abstractions for a variety of...

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Vydané v:	Journal of computer science and technology Ročník 35; číslo 1; s. 121 - 144
Hlavní autori:	Ross, Robert B., Amvrosiadis, George, Carns, Philip, Cranor, Charles D., Dorier, Matthieu, Harms, Kevin, Ganger, Greg, Gibson, Garth, Gutierrez, Samuel K., Latham, Robert, Robey, Bob, Robinson, Dana, Settlemyer, Bradley, Shipman, Galen, Snyder, Shane, Soumagne, Jerome, Zheng, Qing
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	New York Springer US 01.01.2020 Springer Springer Nature B.V Argonne National Laboratory, Lemont, IL 60439, U.S.A.%Parallel Data Laboratory, Carnegie Mellon University, Pittsburgh, PA 15213, U.S.A.%Vector Institute for Artificial Intelligence, Toronto, Ontario, Canada%Los Alamos National Laboratory, Los Alamos NM, U.S.A.%The HDF Group, Champaign IL, U.S.A Springer Nature
Predmet:	Analysis Artificial Intelligence Computation Computational linguistics Computer Science Data Structures and Information Theory data-intensive computing distributed services High performance computing Information storage and retrieval Information Systems Applications (incl.Internet) Language processing MATHEMATICS AND COMPUTING Natural language interfaces New technology Performance evaluation Regular Paper Software Engineering storage and I/O Theory of Computation data-intensive computing storage and I/O high-performance computing distributed services
ISSN:	1000-9000, 1860-4749
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