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FJProf : profiling fork/join applications on the Java virtual machine

  • Rosales, Eduardo Facoltà di scienze informatiche, Università della Svizzera italiana, Svizzera
  • Rosà, Andrea Facoltà di scienze informatiche, Università della Svizzera italiana, Svizzera
  • Binder, Walter Facoltà di scienze informatiche, Università della Svizzera italiana, Svizzera
    2020

8 p.

Performance analysis
Fork/join parallelism
Task granularity
Java virtual machine
English An efficient fork/join application should maximize parallelism while minimizing overheads, and maximize locality while minimizing contention. However, there is no unique optimal implementation that best resolves such tradeoffs and failing in balancing them may lead to fork/join applications suffering from several issues (e.g., suboptimal forking, load imbalance, excessive synchronization), possibly compromising the performance gained by a task-parallel execution. Moreover, there is a lack of profilers enabling performance analysis of a fork/join application. As a result, developers are often required to implement their own tools for monitoring and collecting information and metrics on fork/join applications, which could be time-consuming, error-prone, and is often beyond the expertise of the developer. In this paper, we present FJProf, a novel profiler which accurately collects dynamic information and key metrics to facilitate characterizing several performance attributes specific to a fork/join application running on a single Java Virtual Machine (JVM) in a shared-memory multicore. FJProf reports information and graphics to developers that help them understand the details of the fork/join processing exposed by a parallel application running on the JVM. We show how FJProf supports performance analysis by characterizing a fork/join application from the Renaissance benchmark suite.
Language
  • English
Classification
Computer science and technology
License
License undefined
Open access status
green
Identifiers
  • RERO DOC 328266
  • ARK ark:/12658/srd1319023
Persistent URL
https://n2t.net/ark:/12658/srd1319023
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