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Journal article

Towards open science: The myExperiment approach

De Roure D, Goble C, Aleksejevs S, Bechhofer S, Bhagat J, Cruickshank D, Fisher P, Hull D, Michaelides D, Newman D, Procter R, Lin Y, Poschen M ...see all

Concurrency Computation Practice and Experience, vol. 22, issue 17 (2010) pp. 2335-2353

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Abstract

HPCTOOLKIT is an integrated suite of tools that supports measurement, analysis, attribution, and presentation of application performance for both sequential and parallel programs. HPCTOOLKIT can pinpoint and quantify scalability bottlenecks in fully optimized parallel programs with a measurement overhead of only a few percent. Recently, new capabilities were added to HPCTOOLKIT for collecting call path profiles for fully optimized codes without any compiler support, pinpointing and quantifying bottlenecks in multithreaded programs, exploring performance information and source code using a new user interface, and displaying hierarchical space–time diagrams based on traces of asynchronous call path samples. This paper provides an overview of HPCTOOLKIT and illustrates its utility for performance analysis of parallel applications.

Author-supplied keywords

  • Web 2.0
  • data curation research object
  • e-laboratory
  • scientific workflow
  • semantic web

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Authors

  • Carole GobleUniversity of Manchester

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  • David De Roure

  • Sergejs Aleksejevs

  • Sean Bechhofer

  • Jiten Bhagat

  • Don Cruickshank

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