The choice of the data domain partitioning scheme is an important factor in determining the available parallelism and hence the performance of an application on a distributed memory multiprocessor.In this paper, we present a performance estimator for statically evaluating the relative efficiency of different data partitioning schemes for any given program on any given distributed memory multiprocessor.Our methlod is not based on a theoretical machine model, but ixnstead uses a set of kernel routinea to "train" the estimator for each target machine.We also describe a prototype implementation of this technique and discuss an experimental evaluation of its accuracy.

Article Compile-time detection of race conditions in a parallel program Share on Authors: Vasanth Balasundaram Dept. of Computer Science, Rice University, P.O. Box 1892, Houston, TX Dept. of Computer Science, Rice University, P.O. Box 1892, Houston, TXView Profile , Ken Kennedy Dept. of Computer Science, Rice University, P.O. Box 1892, Houston, TX Dept. of Computer Science, Rice University, P.O. Box 1892, Houston, TXView Profile Authors Info & Claims ICS '89: Proceedings of the 3rd international conference on SupercomputingJune 1989 Pages 175–185https://doi.org/10.1145/318789.318809Online:01 June 1989Publication History 36citation382DownloadsMetricsTotal Citations36Total Downloads382Last 12 Months8Last 6 weeks1 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

article A technique for summarizing data access and its use in parallelism enhancing transformations Share on Authors: V. Balasundaram Dept. of Computer Science, Rice University Dept. of Computer Science, Rice UniversityView Profile , K. Kennedy Dept. of Computer Science, Rice University Dept. of Computer Science, Rice UniversityView Profile Authors Info & Claims ACM SIGPLAN NoticesVolume 24Issue 7July 1989 pp 41–53https://doi.org/10.1145/74818.74822Published:21 June 1989 104citation512DownloadsMetricsTotal Citations104Total Downloads512Last 12 Months15Last 6 weeks0 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access

The ParaScope project is building an integrated collection of tools to help scientific programmers develop correct and efficient parallel programs. The centerpiece of this collection is the ParaScope Editor, an intelligent interactive editor for parallel FORTRAN programs. The ParaScope Editor displays data dependencies, which correspond to potential data races among the iterations of a parallel loop, to assist the user in determining the correctness of a proposed parallelization. In addition, it uses dependencies to support a variety of program transformations selectable by the programmer.