RASA: Reliability-Aware Scheduling Approach for FPGA-Based Resilient Embedded Systems in Extreme Environments (2022)

First Author: Saha S
Attributed to:  EDGE - Adaptive Deep Learning Hardware for Embedded Platforms funded by EPSRC

Abstract

No abstract provided

Bibliographic Information

Digital Object Identifier: http://dx.doi.org/10.1109/tsmc.2021.3077697

Publication URI: http://dx.doi.org/10.1109/tsmc.2021.3077697

Type: Journal Article/Review

Parent Publication: IEEE Transactions on Systems, Man, and Cybernetics: Systems

Issue: 6