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10.1109/IPDPS.2012.114guideproceedingsArticle/Chapter ViewAbstractPublication PagesConference Proceedingsacm-pubtype
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ScalaBenchGen: Auto-Generation of Communication Benchmarks Traces

Published: 21 May 2012 Publication History

Abstract

Benchmarks are essential for evaluating HPC hardware and software for pet scale machines and beyond. But benchmark creation is a tedious manual process. As a result, benchmarks tend to lag behind the development of complex scientific codes. This work contributes an automated approach to the creation of communication benchmarks. Given an MPI application, we utilize Scala Trace, a loss less and scalable framework to trace communication operations and execution time while abstracting away the computations. A single trace file that reflects the behavior of all nodes is subsequently expanded to C source code by a novel code generator. This resulting benchmark code is compact, portable, human-readable, and accurately reflects the original application's communication characteristics and runtime characteristics. Experimental results demonstrate that generated source code of benchmarks preserves both the communication patterns and the wall clock-time behavior of the original application. Such automatically generated benchmarks not only shorten the transition from application development to benchmark extraction but also facilitate code obfuscation, which is essential for benchmark extraction from commercial and restricted applications.

Cited By

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  • (2017)DurangoProceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/3064911.3064923(97-108)Online publication date: 16-May-2017
  • (2016)Benchmark Generation and Simulation at Extreme ScaleProceedings of the 20th International Symposium on Distributed Simulation and Real-Time Applications10.1109/DS-RT.2016.18(9-18)Online publication date: 21-Sep-2016
  • (2016)A new deadlock resolution protocol and message matching algorithm for the extreme-scale simulatorConcurrency and Computation: Practice & Experience10.1002/cpe.380528:12(3369-3389)Online publication date: 25-Aug-2016
  • Show More Cited By

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Published In

cover image Guide Proceedings
IPDPS '12: Proceedings of the 2012 IEEE 26th International Parallel and Distributed Processing Symposium
May 2012
1402 pages
ISBN:9780769546759

Publisher

IEEE Computer Society

United States

Publication History

Published: 21 May 2012

Author Tags

  1. Benchmark Generation
  2. Performance
  3. ScalaTrace

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Cited By

View all
  • (2017)DurangoProceedings of the 2017 ACM SIGSIM Conference on Principles of Advanced Discrete Simulation10.1145/3064911.3064923(97-108)Online publication date: 16-May-2017
  • (2016)Benchmark Generation and Simulation at Extreme ScaleProceedings of the 20th International Symposium on Distributed Simulation and Real-Time Applications10.1109/DS-RT.2016.18(9-18)Online publication date: 21-Sep-2016
  • (2016)A new deadlock resolution protocol and message matching algorithm for the extreme-scale simulatorConcurrency and Computation: Practice & Experience10.1002/cpe.380528:12(3369-3389)Online publication date: 25-Aug-2016
  • (2015)Combining phase identification and statistic modeling for automated parallel benchmark generationACM SIGPLAN Notices10.1145/2858788.268854150:8(269-270)Online publication date: 24-Jan-2015
  • (2015)Scalable Energy Efficiency with Resilience for High Performance Computing SystemsACM Transactions on Architecture and Code Optimization10.1145/282289312:4(1-27)Online publication date: 16-Nov-2015
  • (2015)Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark GenerationACM SIGMETRICS Performance Evaluation Review10.1145/2796314.274587643:1(309-320)Online publication date: 15-Jun-2015
  • (2015)Combining Phase Identification and Statistic Modeling for Automated Parallel Benchmark GenerationProceedings of the 2015 ACM SIGMETRICS International Conference on Measurement and Modeling of Computer Systems10.1145/2745844.2745876(309-320)Online publication date: 15-Jun-2015
  • (2015)Combining phase identification and statistic modeling for automated parallel benchmark generationProceedings of the 20th ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming10.1145/2688500.2688541(269-270)Online publication date: 24-Jan-2015
  • (2014)A methodology for automatic generation of executable communication specifications from parallel MPI applicationsACM Transactions on Parallel Computing10.1145/26602491:1(1-30)Online publication date: 3-Oct-2014
  • (2014)Improving the Performance of the Extreme-Scale SimulatorProceedings of the 2014 IEEE/ACM 18th International Symposium on Distributed Simulation and Real Time Applications10.1109/DS-RT.2014.32(198-207)Online publication date: 1-Oct-2014
  • Show More Cited By

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