7 citations · 12 across the 3 of their papers we have counts for
3 papers
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…
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…
Deterministic Memory Abstraction and Supporting Multicore System Architecture
Farzad Farshchi, Prathap Kumar Valsan, Renato Mancuso +1
Poor time predictability of multicore processors has been a long-standing challenge in the real-time systems community. In this paper, we make a case that a fundamental problem tha…