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Debugging High-Performance Computing Applications at Massive Scales.

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Title: Debugging High-Performance Computing Applications at Massive Scales.
Authors: LAGUNA, IGNACIO1,2,3 ilaguna@llnl.gov, AHN, DONG H.4 ahn1@llnl.gov, DE SUPINSKI, BRONIS R.5 bronis@llnl.gov, GAMBLIN, TODD tgamblin@llnl.gov, LEE, GREGORY L.5 lee218@llnl.gov, SCHULZ, MARTIN4,6 schulzm@llnl.gov, BAGCHI, SAURABH7 sbagchi@purdue.edu, KULKARNI, MILIND8 milind@purdue.edu, BOWEN ZHOU9 bwzhou@gmail.com, ZHEZHE CHEN10 zhezhec@twitter.com, FENG QIN11 qin@cse.ohio-state.edu
Source: Communications of the ACM. Sep2015, Vol. 58 Issue 9, p72-81. 10p.
Subjects: High performance computing, Debugging, Computer simulation, Computer software testing, Parallel programs (Computer programs), Algorithms, Electronic data processing, Mathematical models, Mathematical programming
Abstract: The article focuses on debugging high-performance computing (HPC) applications. It is noted that these applications can run long numerical simulations which model the real world. The numerical correctness and software reliability of these applications is very important for scientists. Debugging parallel programs is much more difficult compared to debugging serial programs. According to the authors, dynamic analysis tools and algorithms which match an application's input and number of compute nodes allow programmers identify the root cause of bugs. INSET: Real-World Debugging Case.
Database: Engineering Source
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Header DbId: egs
DbLabel: Engineering Source
An: 109256718
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PubType: Periodical
PubTypeId: serialPeriodical
PreciseRelevancyScore: 0
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  Data: Debugging High-Performance Computing Applications at Massive Scales.
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  Data: <searchLink fieldCode="AR" term="%22LAGUNA%2C+IGNACIO%22">LAGUNA, IGNACIO</searchLink><relatesTo>1,2,3</relatesTo><i> ilaguna@llnl.gov</i><br /><searchLink fieldCode="AR" term="%22AHN%2C+DONG+H%2E%22">AHN, DONG H.</searchLink><relatesTo>4</relatesTo><i> ahn1@llnl.gov</i><br /><searchLink fieldCode="AR" term="%22DE+SUPINSKI%2C+BRONIS+R%2E%22">DE SUPINSKI, BRONIS R.</searchLink><relatesTo>5</relatesTo><i> bronis@llnl.gov</i><br /><searchLink fieldCode="AR" term="%22GAMBLIN%2C+TODD%22">GAMBLIN, TODD</searchLink><i> tgamblin@llnl.gov</i><br /><searchLink fieldCode="AR" term="%22LEE%2C+GREGORY+L%2E%22">LEE, GREGORY L.</searchLink><relatesTo>5</relatesTo><i> lee218@llnl.gov</i><br /><searchLink fieldCode="AR" term="%22SCHULZ%2C+MARTIN%22">SCHULZ, MARTIN</searchLink><relatesTo>4,6</relatesTo><i> schulzm@llnl.gov</i><br /><searchLink fieldCode="AR" term="%22BAGCHI%2C+SAURABH%22">BAGCHI, SAURABH</searchLink><relatesTo>7</relatesTo><i> sbagchi@purdue.edu</i><br /><searchLink fieldCode="AR" term="%22KULKARNI%2C+MILIND%22">KULKARNI, MILIND</searchLink><relatesTo>8</relatesTo><i> milind@purdue.edu</i><br /><searchLink fieldCode="AR" term="%22BOWEN+ZHOU%22">BOWEN ZHOU</searchLink><relatesTo>9</relatesTo><i> bwzhou@gmail.com</i><br /><searchLink fieldCode="AR" term="%22ZHEZHE+CHEN%22">ZHEZHE CHEN</searchLink><relatesTo>10</relatesTo><i> zhezhec@twitter.com</i><br /><searchLink fieldCode="AR" term="%22FENG+QIN%22">FENG QIN</searchLink><relatesTo>11</relatesTo><i> qin@cse.ohio-state.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Communications+of+the+ACM%22">Communications of the ACM</searchLink>. Sep2015, Vol. 58 Issue 9, p72-81. 10p.
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  Data: <searchLink fieldCode="DE" term="%22High+performance+computing%22">High performance computing</searchLink><br /><searchLink fieldCode="DE" term="%22Debugging%22">Debugging</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+simulation%22">Computer simulation</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+software+testing%22">Computer software testing</searchLink><br /><searchLink fieldCode="DE" term="%22Parallel+programs+%28Computer+programs%29%22">Parallel programs (Computer programs)</searchLink><br /><searchLink fieldCode="DE" term="%22Algorithms%22">Algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Electronic+data+processing%22">Electronic data processing</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+programming%22">Mathematical programming</searchLink>
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  Data: The article focuses on debugging high-performance computing (HPC) applications. It is noted that these applications can run long numerical simulations which model the real world. The numerical correctness and software reliability of these applications is very important for scientists. Debugging parallel programs is much more difficult compared to debugging serial programs. According to the authors, dynamic analysis tools and algorithms which match an application's input and number of compute nodes allow programmers identify the root cause of bugs. INSET: Real-World Debugging Case.
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        Value: 10.1145/2667219
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        Text: English
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      – SubjectFull: High performance computing
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      – SubjectFull: Debugging
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      – SubjectFull: Computer simulation
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              M: 09
              Text: Sep2015
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