Computer Science
8 years ago

Parallel computing just got a game-changer: Toolkit predicts performance with 96% accuracy.

Procedia Computer Science
A Tool for Selecting the Right Target Machine for Parallel Scientific Applications
Javier Panadero, Alvaro Wong, Dolores Rexachs, Emilio Luque

Paper Summary

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The PAS2P toolkit helps scientists choose the best computer for running parallel applications. It uses a method called PAS2P to understand how these applications work and predict how long they will take to run on different computers. The toolkit makes this process easy and automatic for users. Tests show that the signature created by PAS2P can predict execution time with 96% accuracy, using only 7% of the total time needed to run the application.