@conference{Que2021, Author = {Quentin Dariol, Sebastien Le Nours, Sebastien Pillement, Ralf Stemmer, Kim Grüttner, Domenik Helms}, Title = {A Measurement-based Performance Evaluation Framework for Neural Networks on MPSoCs}, Year = {2021}, Booktitle = {15ème Colloque National du GDR SOC2}, Url = {https://hal.archives-ouvertes.fr/hal-03248152}, type = {conference}, Abstract = {Evaluation of performance for complex applica-tions such as Artificial Intelligence (AI) algorithms and morespecifically neural networks on Multi-Processor Systems on aChip (MPSoC) is tedious. Mechanisms such as data-dependentpaths and communication bus congestion induce execution timevariation, which is hard to predict accurately using traditionalanalysis methods. This paper illustrates our proposed perfor-mance prediction workflow based on simulation models forprobabilistic timing prediction for MPSoC. We aim to extend ourexisting approach to optimize neural network implementation onresource-constrained multiprocessor platforms.} } @COMMENT{Bibtex file generated on }