Title
Discriminatively Fortified Computing With Reconfigurable Digital Fabric
Keywords
Fault-tolerance; Fortified Computing; Redundancy allocation; Robustness
Abstract
This work proposes a novel approach- Discriminatively Fortified Computing (DFC)-to achieve hardware-efficient reliable computing without deterministically knowing the location and occurrence time of hardware defects and design faults. The key insights behind DFC comprise: 1) different system components contribute differently to the overall correctness of a target application, therefore should be treated distinctively, and 2) abundant error resilience exists inherently in many practical algorithms, such as signal processing, visual perception, and artificial learning. Such error resilience can be significantly improved with effective hardware support. The major contributions of this work include 1) the development of a complete methodology to perform sensitivity and criticality analysis of hardware redundancy, 2) a novel problem formulation and an efficient heuristic methodology to discriminatively allocate hardware redundancy among a target design's key components in order to maximize its overall error resilience, 3) an academic prototype of DFC computing device that illustrates a 4 times improvement of error resilience for a H.264 encoder implemented with an FPGA device. © 2011 IEEE.
Publication Date
12-1-2011
Publication Title
Proceedings of IEEE International Symposium on High Assurance Systems Engineering
Number of Pages
112-119
Document Type
Article; Proceedings Paper
Personal Identifier
scopus
DOI Link
https://doi.org/10.1109/HASE.2011.49
Copyright Status
Unknown
Socpus ID
84856554635 (Scopus)
Source API URL
https://api.elsevier.com/content/abstract/scopus_id/84856554635
STARS Citation
Lin, Mingjie; Bai, Yu; and Wawrzynek, John, "Discriminatively Fortified Computing With Reconfigurable Digital Fabric" (2011). Scopus Export 2010-2014. 2250.
https://stars.library.ucf.edu/scopus2010/2250