@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 }