2 papers
cs.AR2020
New Approximate Multiplier for Low Power Digital Signal Processing
Farzad Farshchi, Muhammad Saeed Abrishami, Sied Mehdi Fakhraie
In this paper a low power multiplier is proposed. The proposed multiplier utilizes Broken-Array Multiplier approximation method on the conventional modified Booth multiplier. This…
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…