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A Technique for Finding Optimal Program Launch Parameters Targeting Manycore Accelerators

Authors :
Brandt, Alexander
Mohajerani, Davood
Maza, Marc Moreno
Paudel, Jeeva
Wang, Lin-Xiao
Publication Year :
2019

Abstract

In this paper, we present a new technique to dynamically determine the values of program parameters in order to optimize the performance of a multithreaded program P. To be precise, we describe a novel technique to statically build another program, say, R, that can dynamically determine the optimal values of program parameters to yield the best program performance for P given values for its data and hardware parameters. While this technique can be applied to parallel programs in general, we are particularly interested in programs targeting manycore accelerators. Our technique has successfully been employed for GPU kernels using the MWP-CWP performance model for CUDA.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1906.00142
Document Type :
Working Paper