Parallel programming environment for OpenMP

Authors:
Insung Park;Michael J. Voss;Seon Wook Kim;Rudolf Eigenmann
Affiliations:
1285 EE Bldg., School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907-1285, USA. E-mail: {ipark,mjvoss,seon,eigenman}@ecn.purdue. edu;1285 EE Bldg., School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907-1285, USA. E-mail: {ipark,mjvoss,seon,eigenman}@ecn.purdue. edu;1285 EE Bldg., School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907-1285, USA. E-mail: {ipark,mjvoss,seon,eigenman}@ecn.purdue. edu;1285 EE Bldg., School of Electrical and Computer Engineering, Purdue University, West Lafayette, IN 47907-1285, USA. E-mail: {ipark,mjvoss,seon,eigenman}@ecn.purdue. edu
Venue:
Scientific Programming
Year:
2001

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Abstract

We present our effort to provide a comprehensive parallel programming environment for the OpenMP parallel directive language. This environment includes a parallel programming methodology for the OpenMP programming model and a set of tools (Ursa Minor and InterPol) that support this methodology. Our toolset provides automated and interactive assistance to parallel programmers in time-consuming tasks of the proposed methodology. The features provided by our tools include performance and program structure visualization, interactive optimization, support for performance modeling, and performance advising for finding and correcting performance problems. The presented evaluation demonstrates that our environment offers significant support in general parallel tuning efforts and that the toolset facilitates many common tasks in OpenMP parallel programming in an efficient manner.