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
Distributed data and immersive collaboration
Communications of the ACM
Automatic Performance Prediction of Parallel Programs
Automatic Performance Prediction of Parallel Programs
The Search for Lost Cycles: A New Approach to Parallel Program Performance Evaluation
The Search for Lost Cycles: A New Approach to Parallel Program Performance Evaluation
Automatic Performance Analysis of Master/Worker PVM Applications with Kpi
Proceedings of the 7th European PVM/MPI Users' Group Meeting on Recent Advances in Parallel Virtual Machine and Message Passing Interface
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Traditional parallel programming forces the programmer to understand the enormous amount of performance information obtained from the execution of a program. In this paper, we show how the use of KappaPi automatic analysis tool helps the programmers of applications to avoid this difficult task. In the last stage of the analysis we discuss the possibilities of establishing relationships between the performance information found and the programming structure of the application.