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Author:

Liu, Tang (Liu, Tang.) | Qin, Huang-Zhang (Qin, Huang-Zhang.) | Bin, Hou-Yi (Bin, Hou-Yi.) | Cai, Fang-Feng (Cai, Fang-Feng.) | Bing, Zhang-Hui (Bing, Zhang-Hui.)

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EI Scopus

Abstract:

This paper proposes a hardware error checking approach (CCRC) by using redundancy core for multiprocessor system-on-chip (MPSoC) and describes several main error detection methods based on Software-Implemented Hardware Fault Tolerance (SHIF) idea proposed in literatures. The CCRC approach insert some error detection code in high level code, detect the existing of redundancy core in MPSoC, then complete the calculation of detection code in redundancy core. The author compares the CCRC approach with several main error detection methods on error detection capabilities, area, memory and performance overheads in an experiment platform. The result of comparative evaluation shows that the CCRC approach is effective for MPSoC, taking some advantages in versatility and lower cost. © 2013 SERSC.

Keyword:

Multiprocessing systems Microprocessor chips Redundancy Hardware Error detection

Author Community:

  • [ 1 ] [Liu, Tang]Embedded Software and Systems Institutes, Beijing University of Technology, China
  • [ 2 ] [Liu, Tang]Department of Physics and Electronics Engineering, Guangxi Teachers Education University, Nanning, 530024, China
  • [ 3 ] [Qin, Huang-Zhang]Embedded Software and Systems Institutes, Beijing University of Technology, China
  • [ 4 ] [Bin, Hou-Yi]Embedded Software and Systems Institutes, Beijing University of Technology, China
  • [ 5 ] [Cai, Fang-Feng]Department of Physics and Electronics Engineering, Guangxi Teachers Education University, Nanning, 530024, China
  • [ 6 ] [Bing, Zhang-Hui]Department of computer science and Electronics Engineering, GuiLin University of Electronic Technology, GuiLin, 541004, China

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Source :

International Journal of Multimedia and Ubiquitous Engineering

ISSN: 1975-0080

Year: 2013

Issue: 5

Volume: 8

Page: 145-158

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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