Academic Journal

Fast classification of MPI applications using Lamport’s logical clocks.

Λεπτομέρειες βιβλιογραφικής εγγραφής
Τίτλος: Fast classification of MPI applications using Lamport’s logical clocks.
Συγγραφείς: Tong, Zhou1 tong@cs.fsu.edu, Pakin, Scott2 pakin@lanl.gov, Lang, Michael2 mlang@lanl.gov, Yuan, Xin1 xyuan@cs.fsu.edu
Πηγή: Journal of Parallel & Distributed Computing. Oct2018, Vol. 120, p77-88. 12p.
Θεματικοί όροι: *Logical clocks, *Counters (Computer science), *Distributed computing, *Computer networks, *Cloud computing
Περίληψη: We present a novel trace-based analysis tool that rapidly classifies an MPI application as bandwidth-bound, latency-bound, load-imbalance-bound, or computation-bound for different interconnection networks. The tool uses an extension of Lamport’s logical clock to track application progress in the trace replay. It has two unique features. First, it can predict application performance for many latency and bandwidth parameters from a single replay of the trace. Second, it infers the performance characteristics of an application and classifies the application using the predicted performance trend for a range of network configurations instead of using the predicted performance for a particular network configuration. We describe the techniques used in the tool and its design and implementation, and report our performance study of the tool and our experience with classifying twelve applications and mini-apps from the DOE DesignForward project as well as the NAS Parallel Benchmarks. [ABSTRACT FROM AUTHOR]
Βάση Δεδομένων: Academic Search Index
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  – Url: https://www.doi.org/10.1016/j.jpdc.2018.05.005?
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  Data: Fast classification of MPI applications using Lamport’s logical clocks.
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  Data: <searchLink fieldCode="AR" term="%22Tong%2C+Zhou%22">Tong, Zhou</searchLink><relatesTo>1</relatesTo><i> tong@cs.fsu.edu</i><br /><searchLink fieldCode="AR" term="%22Pakin%2C+Scott%22">Pakin, Scott</searchLink><relatesTo>2</relatesTo><i> pakin@lanl.gov</i><br /><searchLink fieldCode="AR" term="%22Lang%2C+Michael%22">Lang, Michael</searchLink><relatesTo>2</relatesTo><i> mlang@lanl.gov</i><br /><searchLink fieldCode="AR" term="%22Yuan%2C+Xin%22">Yuan, Xin</searchLink><relatesTo>1</relatesTo><i> xyuan@cs.fsu.edu</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Parallel+%26+Distributed+Computing%22">Journal of Parallel & Distributed Computing</searchLink>. Oct2018, Vol. 120, p77-88. 12p.
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  Data: *<searchLink fieldCode="DE" term="%22Logical+clocks%22">Logical clocks</searchLink><br />*<searchLink fieldCode="DE" term="%22Counters+%28Computer+science%29%22">Counters (Computer science)</searchLink><br />*<searchLink fieldCode="DE" term="%22Distributed+computing%22">Distributed computing</searchLink><br />*<searchLink fieldCode="DE" term="%22Computer+networks%22">Computer networks</searchLink><br />*<searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: We present a novel trace-based analysis tool that rapidly classifies an MPI application as bandwidth-bound, latency-bound, load-imbalance-bound, or computation-bound for different interconnection networks. The tool uses an extension of Lamport’s logical clock to track application progress in the trace replay. It has two unique features. First, it can predict application performance for many latency and bandwidth parameters from a single replay of the trace. Second, it infers the performance characteristics of an application and classifies the application using the predicted performance trend for a range of network configurations instead of using the predicted performance for a particular network configuration. We describe the techniques used in the tool and its design and implementation, and report our performance study of the tool and our experience with classifying twelve applications and mini-apps from the DOE DesignForward project as well as the NAS Parallel Benchmarks. [ABSTRACT FROM AUTHOR]
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        Value: 10.1016/j.jpdc.2018.05.005
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        Text: English
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      – SubjectFull: Logical clocks
        Type: general
      – SubjectFull: Counters (Computer science)
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      – SubjectFull: Distributed computing
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      – SubjectFull: Cloud computing
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      – TitleFull: Fast classification of MPI applications using Lamport’s logical clocks.
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            – D: 01
              M: 10
              Text: Oct2018
              Type: published
              Y: 2018
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