SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference

Jude Haris, Perry Gibson, José Cano 0001, Nicolas Bohm Agostini, David R. Kaeli. SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference. In 33rd IEEE International Symposium on Computer Architecture and High Performance Computing, SBAC-PAD 2021, Belo Horizonte, Brazil, October 26-29, 2021. pages 33-43, IEEE, 2021. [doi]

Abstract

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