Proceedings of the DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021)
arXiv:2102.00818v1
Originality Synthesis-oriented
AI Analysis
This is a workshop proceedings, so it is incremental and serves as a collection of existing research for the community in design automation and deep learning.
This paper presents the proceedings of the SLOHA 2021 workshop, which focused on system-level design methods for deep learning on heterogeneous architectures, but does not describe a specific problem tackled or provide results or numbers.
This volume contains the papers accepted at the first DATE Friday Workshop on System-level Design Methods for Deep Learning on Heterogeneous Architectures (SLOHA 2021), held virtually on February 5, 2021. SLOHA 2021 was co-located with the Conference on Design, Automation and Test in Europe (DATE).