Delivering Science on Day One.

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Bibliographic Details
Title: Delivering Science on Day One.
Authors: Williams, Timothy J.1
Source: Computing in Science & Engineering. Mar2016, Vol. 18 Issue 2, p104-107. 4p.
Subjects: Performance of supercomputers, Benchmarking (Management), High performance computing research, Electronic data processing, Computer software research, Computer software
Abstract: While benchmarking software is useful for testing the performance limits and stability of Argonne National Laboratory's new Theta supercomputer, there's no substitute for running real applications to explore the system's potential. The Argonne Leadership Computing Facility's Theta Early Science Program, modeled after its highly successful code migration program for the Mira supercomputer, has one primary aim: to deliver science on day one. This article offers a closer look at the type of science problems that will get early access to Theta, a next-generation machine being rolled out this year. [ABSTRACT FROM PUBLISHER]
Copyright of Computing in Science & Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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PubType: Academic Journal
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  Data: While benchmarking software is useful for testing the performance limits and stability of Argonne National Laboratory's new Theta supercomputer, there's no substitute for running real applications to explore the system's potential. The Argonne Leadership Computing Facility's Theta Early Science Program, modeled after its highly successful code migration program for the Mira supercomputer, has one primary aim: to deliver science on day one. This article offers a closer look at the type of science problems that will get early access to Theta, a next-generation machine being rolled out this year. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of Computing in Science & Engineering is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1109/MCSE.2016.22
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      – Code: eng
        Text: English
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      – SubjectFull: Performance of supercomputers
        Type: general
      – SubjectFull: Benchmarking (Management)
        Type: general
      – SubjectFull: High performance computing research
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      – SubjectFull: Electronic data processing
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      – SubjectFull: Computer software research
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      – SubjectFull: Computer software
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      – TitleFull: Delivering Science on Day One.
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              Text: Mar2016
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