Performance evaluation of acceleration of convolutional layers on OpenEdgeCGRA

Author:

Carpentieri Nicolò1ORCID,Sapriza Juan2ORCID,Schiavone Davide2ORCID,Pagliari Daniele Jahier1ORCID,Atienza David2ORCID,Martina Maurizio1ORCID,Burrello Alessio1ORCID

Affiliation:

1. Politecnico di Torino, Torino, Italy

2. EPFL, Lausanne, Switzerland

Funder

Key Digital Technologies Joint Undertaking

Ministero dell’Istruzione, dell’Università e della Ricerca

Innovation and Technology Commission

Wyss Center for Bio and Neuroengineering

Publisher

ACM

Reference14 articles.

1. Norman P Jouppi et al. In-datacenter performance analysis of a tensor processing unit. In Proc. of the 44th ISCA, pages 1--12, 2017.

2. A gpu-outperforming fpga accelerator architecture for binary convolutional neural networks;Yixing Li;ACM JETC,2017

3. Specializing cgras for light-weight convolutional neural networks;Lee Jungi;IEEE TCAD,2021

4. HiMap: Fast and Scalable High-Quality Mapping on CGRA via Hierarchical Abstraction

5. Christian Heidorn et al. Design space exploration for layer-parallel execution of convolutional neural networks on cgras. In Proc. of the 23th SCOPES, pages 26--31, 2020.

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