Scrubbing unit repositioning for fast error repair in FPGAs

Authors:
Gabriel L. Nazar;Leonardo P. Santos;Luigi Carro
Affiliations:
Universidade Federal do Rio Grande do Sul -- Instituto de Informática;Universidade Federal do Rio Grande do Sul -- Instituto de Informática;Universidade Federal do Rio Grande do Sul -- Instituto de Informática
Venue:
Proceedings of the 2013 International Conference on Compilers, Architectures and Synthesis for Embedded Systems
Year:
2013

Citing 7
Cited 0

Low overhead fault-tolerant FPGA systems

IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Neural Networks: A Comprehensive Foundation

Neural Networks: A Comprehensive Foundation
A New Reliability-Oriented Place and Route Algorithm for SRAM-Based FPGAs

IEEE Transactions on Computers
LEMON - an Open Source C++ Graph Template Library

Electronic Notes in Theoretical Computer Science (ENTCS)
A Novel Design Methodology for Implementing Reliability-Aware Systems on SRAM-Based FPGAs

IEEE Transactions on Computers
Exploiting Modified Placement and Hardwired Resources to Provide High Reliability in FPGAs

FCCM '12 Proceedings of the 2012 IEEE 20th International Symposium on Field-Programmable Custom Computing Machines
Fast single-FPGA fault injection platform

DFT '12 Proceedings of the 2012 IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems (DFT)

Quantified Score

Hi-index	0.00

Visualization

Abstract

Field Programmable Gate Arrays (FPGAs) are very successful platforms that rely on large configuration memories to store the circuit functions required by users. Faults affecting such memories are a major dependability threat for these devices, and the applicability of FPGAs on critical systems depends on efficient means to mitigate their effects. The main means to effectively remove such faults, namely configuration scrubbing, consists in rewriting the desired contents of this memory and suffers from high power consumption and a long mean time to repair (MTTR). In this work we propose Scrubbing Unit Repositioning for Fast Error Repair (SURFER), a novel approach to exploit partial dynamic reconfiguration coupled with fine-grained redundancy to greatly reduce the MTTR for FPGAs subject to upsets in their configuration memories.