Rapid Design-Space Exploration for Low-Power Manycores Under Process Variation Utilizing Machine Learning

Rapid Design-Space Exploration for Low-Power Manycores Under Process Variation Utilizing Machine Learning

Design-space exploration for low-power manycore design is a daunting and time-consuming task which requires some complex tools and frameworks to achieve. In the presence of process variation, the problem becomes even more challenging, especially the time associated with trial-and-error selection of...

Full description

Bibliographic Details
Main Authors: Sohaib Majzoub, Resve Saleh, Mottaqiallah Taouil, Said Hamdioui, Mohamed Bamakhrama
Format: Article
Language:English
Published: IEEE 2022-01-01
Series:IEEE Access
Subjects:
Neural network
simulator
manycore
low-power
process variation
frequency scaling
Online Access:https://ieeexplore.ieee.org/document/9810244/

Similar Items

Similar Items