2 papers
eess.SP2020
AutoCkt: Deep Reinforcement Learning of Analog Circuit Designs
Keertana Settaluri, Ameer Haj-Ali, Qijing Huang +2
Domain specialization under energy constraints in deeply-scaled CMOS has been driving the need for agile development of Systems on a Chip (SoCs). While digital subsystems have desi…
cs.DC2019
Integrating NVIDIA Deep Learning Accelerator (NVDLA) with RISC-V SoC on FireSim
Farzad Farshchi, Qijing Huang, Heechul Yun
NVDLA is an open-source deep neural network (DNN) accelerator which has received a lot of attention by the community since its introduction by Nvidia. It is a full-featured hardwar…