Title :
Predicting the performance of large programs on scalable multicomputers
Author :
Stramm, Bernd ; Berman, Francine
Author_Institution :
California Univ., San Diego, CA, USA
Abstract :
The paper introduces the retargetable program-sensitive (RPS) model which predicts the performance of static, data-independent parallel programs mapped to message-passing multicomputers. It shows that the model accurately predicts the performance of mapped programs by comparing RPS predictions to actual execution times in the Poker parallel programming environment. The paper also previews plans for further verification of the model on the NCube2 and other multicomputers
Keywords :
message passing; parallel programming; performance evaluation; programming environments; NCube2; Poker parallel programming environment; data-independent parallel programs; message-passing multicomputers; performance prediction; process assignment; retargetable program-sensitive; scalable multicomputers; static parallel programs; Accuracy; Concurrent computing; Parallel processing; Parallel programming; Predictive models;
Conference_Titel :
Scalable High Performance Computing Conference, 1992. SHPCC-92, Proceedings.
Conference_Location :
Williamsburg, VA
Print_ISBN :
0-8186-2775-1
DOI :
10.1109/SHPCC.1992.232692
