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The reverse-acceleration model for programming petascale hybrid systems.

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Title: The reverse-acceleration model for programming petascale hybrid systems.
Authors: Pakin, S.1 pakin@lanl.gov, Lang, M.1 mlang@lanl.gov, Kerbyson, D. J.1 djk@lanl.gov
Source: IBM Journal of Research & Development. Sep2009, Vol. 53 Issue 5, p8:1-8:15. 15p.
Subjects: IBM Systems Application Architecture, Microprocessor programming, International Business Machines Corp., Hybrid systems, IBM computers, Case studies
Abstract: Current technology trends favor hybrid architectures, typically with each node in a cluster containing both general-purpose and specialized accelerator processors. The typical model for programming such systems is host-centric: The general-purpose processor orchestrates the computation, offloading performance-critical work to the accelerator, and data are communicated only among general-purpose processors. In this paper, we propose a radically different hybrid-programming approach, which we call the reverse-acceleration model. In this model, the accelerators orchestrate the computation, offloading work that cannot be accelerated to the general-purpose processors. Data is communicated among accelerators, not among general-purpose processors. Our thesis is that the reverse-acceleration model simplifies porting codes to hybrid systems and facilitates performance optimization. We present a case study of a legacy neutron-transport code that we modified to use reverse acceleration and ran across the full 122,400 cores (general-purpose plus accelerator) of the Los Alamos National Laboratory Roadrunner supercomputer. Results indicate a substantial performance improvement over the unaccelerated version of the code. [ABSTRACT FROM AUTHOR]
Copyright of IBM Journal of Research & Development is the property of IBM Corporation/IBM Journals 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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DbLabel: Engineering Source
An: 47838432
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: <searchLink fieldCode="AR" term="%22Pakin%2C+S%2E%22">Pakin, S.</searchLink><relatesTo>1</relatesTo><i> pakin@lanl.gov</i><br /><searchLink fieldCode="AR" term="%22Lang%2C+M%2E%22">Lang, M.</searchLink><relatesTo>1</relatesTo><i> mlang@lanl.gov</i><br /><searchLink fieldCode="AR" term="%22Kerbyson%2C+D%2E+J%2E%22">Kerbyson, D. J.</searchLink><relatesTo>1</relatesTo><i> djk@lanl.gov</i>
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  Data: <searchLink fieldCode="JN" term="%22IBM+Journal+of+Research+%26+Development%22">IBM Journal of Research & Development</searchLink>. Sep2009, Vol. 53 Issue 5, p8:1-8:15. 15p.
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  Data: Current technology trends favor hybrid architectures, typically with each node in a cluster containing both general-purpose and specialized accelerator processors. The typical model for programming such systems is host-centric: The general-purpose processor orchestrates the computation, offloading performance-critical work to the accelerator, and data are communicated only among general-purpose processors. In this paper, we propose a radically different hybrid-programming approach, which we call the reverse-acceleration model. In this model, the accelerators orchestrate the computation, offloading work that cannot be accelerated to the general-purpose processors. Data is communicated among accelerators, not among general-purpose processors. Our thesis is that the reverse-acceleration model simplifies porting codes to hybrid systems and facilitates performance optimization. We present a case study of a legacy neutron-transport code that we modified to use reverse acceleration and ran across the full 122,400 cores (general-purpose plus accelerator) of the Los Alamos National Laboratory Roadrunner supercomputer. Results indicate a substantial performance improvement over the unaccelerated version of the code. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
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  Data: <i>Copyright of IBM Journal of Research & Development is the property of IBM Corporation/IBM Journals 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.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=47838432
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        Value: 10.1147/JRD.2009.5429074
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        Text: English
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        Type: general
      – SubjectFull: Microprocessor programming
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      – SubjectFull: International Business Machines Corp.
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              Text: Sep2009
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