Dynamic control of performance monitoring on large scale parallel systems
ICS '93 Proceedings of the 7th international conference on Supercomputing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
PVM: Parallel virtual machine: a users' guide and tutorial for networked parallel computing
Automatic Performance Prediction of Parallel Programs
Automatic Performance Prediction of Parallel Programs
MPI-The Complete Reference, Volume 1: The MPI Core
MPI-The Complete Reference, Volume 1: The MPI Core
Relating the Execution Behaviour with the Structure of the Application
Proceedings of the 6th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Automatic performance analysis of message passing applications using the KappaPI 2 tool
PVM/MPI'05 Proceedings of the 12th European PVM/MPI users' group conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface
High-level application specific performance analysis using the G-PM tool
PVM/MPI'05 Proceedings of the 12th European PVM/MPI users' group conference on Recent Advances in Parallel Virtual Machine and Message Passing Interface
Automatic tuning of master/worker applications
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
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PVM parallel programming model provides a convenient methodology of creating dynamic master/worker applications. In this paper, we introduce the benefits from the use of KappaPi tool for automatic analysis of master/worker applications. First, by the automatic detection of the master/worker paradigm in the application. And second, by the performance analysis of the application focusing on the performance bottlenecks and the limitations of this master/worker collaboration.