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Description
  • The Java Virtual Machine (JVM) today hosts implementations of numerous languages. To achieve high performance, JVM implementations rely on heuristics in choosing compiler optimizations and adapting garbage collection behavior. Historically, these heuristics have been tuned to suit the dynamics of Java programs only. This leads to unnecessarily poor performance in case of non-Java languages, which often exhibit systematic differences in workload behavior. Dynamic metrics characterizing the workload help to identify and quantify useful optimizations, but so far, no cohesive suite of metrics has adequately covered properties that vary systematically between Java and non-Java workloads. We present a suite of such metrics, justifying our choice with reference to a range of guest languages. These metrics are implemented on a common portable infrastructure which ensures ease of deployment and customization.
  • The Java Virtual Machine (JVM) today hosts implementations of numerous languages. To achieve high performance, JVM implementations rely on heuristics in choosing compiler optimizations and adapting garbage collection behavior. Historically, these heuristics have been tuned to suit the dynamics of Java programs only. This leads to unnecessarily poor performance in case of non-Java languages, which often exhibit systematic differences in workload behavior. Dynamic metrics characterizing the workload help to identify and quantify useful optimizations, but so far, no cohesive suite of metrics has adequately covered properties that vary systematically between Java and non-Java workloads. We present a suite of such metrics, justifying our choice with reference to a range of guest languages. These metrics are implemented on a common portable infrastructure which ensures ease of deployment and customization. (en)
Title
  • A comprehensive toolchain for workload characterization across JVM languages
  • A comprehensive toolchain for workload characterization across JVM languages (en)
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  • A comprehensive toolchain for workload characterization across JVM languages
  • A comprehensive toolchain for workload characterization across JVM languages (en)
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  • RIV/00216208:11320/13:10192623!RIV14-GA0-11320___
http://linked.open...avai/predkladatel
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GCP202/10/J042)
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 58529
http://linked.open...ai/riv/idVysledku
  • RIV/00216208:11320/13:10192623
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • dynamic metrics; bytecode instrumentation; dynamic program analysis; workload characterization (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...ontrolniKodProRIV
  • [8FB190DFEC35]
http://linked.open...v/mistoKonaniAkce
  • Seattle, WA, USA
http://linked.open...i/riv/mistoVydani
  • New York, NY, USA
http://linked.open...i/riv/nazevZdroje
  • Proceedings of the 11th ACM SIGPLAN-SIGSOFT Workshop on Program Analysis for Software Tools and Engineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...iv/tvurceVysledku
  • Bulej, Lubomír
  • Ansaloni, Danilo
  • Binder, Walter
  • Sarimbekov, Aibek
  • Sewe, Andreas
  • Zheng, Yudi
  • Kell, Stephen
http://linked.open...vavai/riv/typAkce
http://linked.open.../riv/zahajeniAkce
number of pages
http://bibframe.org/vocab/doi
  • 10.1145/2462029.2462033
http://purl.org/ne...btex#hasPublisher
  • ACM
https://schema.org/isbn
  • 978-1-4503-2128-0
http://localhost/t...ganizacniJednotka
  • 11320
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