Skip to Main content Skip to Navigation
Journal articles

A first step to performance prediction for heterogeneous processing on manycores

Abstract : The current trends in processor industry opens the way to next generations of microprocessors may count hundreds of independent cores that may differ in their functions and features. As an extensive knowledge of their internals cannot be a prerequisite to their programming and for the sake of portability, these forthcoming computers necessitate the compilation flow to evolve and cope with heterogeneity issues. In this paper, we lay a first step toward a possible solution to this challenge by exploring the results of SPMD type of parallelism (as a first step) with heterogeneous compute kernels and predicting performance of the compilation results. We show some first experimental results with very good accuracy of the predicted performance with regard to real world measurements.
Document type :
Journal articles
Complete list of metadata

Cited literature [9 references]  Display  Hide  Download
Contributor : Léna Le Roy Connect in order to contact the contributor
Submitted on : Friday, July 6, 2018 - 10:13:24 AM
Last modification on : Thursday, February 17, 2022 - 10:08:06 AM
Long-term archiving on: : Tuesday, October 2, 2018 - 5:14:52 AM


Benoit & Louise, 2015.pdf
Publisher files allowed on an open archive


Distributed under a Creative Commons Attribution - NonCommercial - NoDerivatives 4.0 International License



N. Benoit, S. Louise. A first step to performance prediction for heterogeneous processing on manycores. Procedia Computer Science, Elsevier, 2015, 51, pp.2952-2956. ⟨10.1016/j.procs.2015.05.493⟩. ⟨cea-01831557⟩



Record views


Files downloads