2 papers
cs.AR2021
SECDA: Efficient Hardware/Software Co-Design of FPGA-based DNN Accelerators for Edge Inference
Jude Haris, Perry Gibson, José Cano +2
Edge computing devices inherently face tight resource constraints, which is especially apparent when deploying Deep Neural Networks (DNN) with high memory and compute demands. FPGA…
cs.DC2019
Summarizing CPU and GPU Design Trends with Product Data
Yifan Sun, Nicolas Bohm Agostini, Shi Dong +1
Moore's Law and Dennard Scaling have guided the semiconductor industry for the past few decades. Recently, both laws have faced validity challenges as transistor sizes approach the…