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Your search keyword '"*SCIENTIFIC computing"' showing total 3 results
3 results on '"*SCIENTIFIC computing"'

1. The TOP500 List and Progress in High-Performance Computing.

Author

Strohmaier, Erich, Meuer, Hans W., Dongarra, Jack, and Simon, Horst D.

Subjects
*SUPERCOMPUTERS, *DATA analysis, *ACQUISITION of data, *SCIENTIFIC computing
Abstract

For more than two decades, the TOP500 list has enjoyed incredible success as a metric for supercomputing performance and as a source of data for identifying technological trends. The project's editors reflect on its usefulness and limitations for guiding large-scale scientific computing into the exascale era. [ABSTRACT FROM AUTHOR]

Published
2015
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2. THE INTERNATIONAL EXASCALE SOFTWARE PROJECT: A CALL TO COOPERATIVE ACTION BY THE GLOBAL HIGH-PERFORMANCE COMMUNITY.

Author

Dongarra, Jack, Beckman, Pete, Aerts, Patrick, Cappello, Frank, Lippert, Thomas, Matsuoka, Satoshi, Messina, Paul, Moore, Terry, Stevens, Rick, Trefethen, Anne, and Valero, Mateo

Subjects
*HIGH performance computing, *OPEN source software, *HIGH performance processors, *SUPERCOMPUTERS
Abstract

The article focuses on the need to have a global mechanism for planning and coordinating technologies necessary for working on the high performance computing (HPC) systems, across the open-source community. International Exascale Software Project (IESP) is stated to work across the community to identify critical lacunae in the overall software environment and spot opportunities for beneficial integration into the HPC. Also discussed in the article are the benefits of the project.

Published
2009
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3. How Do Scientists Really Use Computers?

Author

Wilson, Greg

Subjects
*COMPUTER users -- Research, *SURVEYS, *COMPUTER systems, *SCIENTISTS, *SCIENTIFIC computing, *PERSONAL computer software, *SUPERCOMPUTERS, *HIGH performance computing
Abstract

The article discusses the results of a global Internet survey of scientists on their use of computers and software. The demographics of the respondents are noted, as are findings of trends in the time spent by scientists in developing software and using it. The authors note that data-archiving habits were not surveyed. The survey results illustrated that scientists conduct a considerable amount of solo work or they work in small teams. Regarding computer hardware, the survey indicated a preponderance of desktop computer use and limited reliance on supercomputers.

Published
2009
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