3 papers
cs.AR2024
Dynamic Power Control in a Hardware Neural Network with Error-Configurable MAC Units
Maedeh Ghaderi, Arvin Delavari, Faraz Ghoreishy +1
Multi-Layer Perceptrons (MLP) are powerful tools for representing complex, non-linear relationships, making them essential for diverse machine learning and AI applications. Efficie…
cs.AR2024
Evaluation of Run-Time Energy Efficiency using Controlled Approximation in a RISC-V Core
Arvin Delavari, Faraz Ghoreishy, Hadi Shahriar Shahhoseini +1
The limited energy available in most embedded systems poses a significant challenge in enhancing the performance of embedded processors and microcontrollers. One promising approach…
cs.AR2024
A Reconfigurable Approximate Computing RISC-V Platform for Fault-Tolerant Applications
Arvin Delavari, Faraz Ghoreishy, Hadi Shahriar Shahhoseini +1
The demand for energy-efficient and high performance embedded systems drives the evolution of new hardware architectures, including concepts like approximate computing. This paper…