Distance-Ranked Fault Identification of Reconfigurable Hardware Bitstreams via Functional Input. (17th March 2014)
- Record Type:
- Journal Article
- Title:
- Distance-Ranked Fault Identification of Reconfigurable Hardware Bitstreams via Functional Input. (17th March 2014)
- Main Title:
- Distance-Ranked Fault Identification of Reconfigurable Hardware Bitstreams via Functional Input
- Authors:
- Imran, Naveed
DeMara, Ronald F. - Other Names:
- Stechele Walter Academic Editor.
- Abstract:
- Abstract : Distance-Ranked Fault Identification (DRFI) is a dynamic reconfiguration technique which employs runtime inputs to conduct online functional testing of fielded FPGA logic and interconnect resources without test vectors. At design time, a diverse set of functionally identical bitstream configurations are created which utilize alternate hardware resources in the FPGA fabric. An ordering is imposed on the configuration pool as updated by the PageRank indexing precedence. The configurations which utilize permanently damaged resources and hence manifest discrepant outputs, receive lower rank are thus less preferred for instantiation on the FPGA. Results indicate accurate identification of fault-free configurations in a pool of pregenerated bitstreams with a low number of reconfigurations and input evaluations. For MCNC benchmark circuits, the observed reduction in input evaluations is up to 75% when comparing the DRFI technique to unguided evaluation. The DRFI diagnosis method is seen to isolate all 14 healthy configurations from a pool of 100 pregenerated configurations, and thereby offering a 100% isolation accuracy provided the fault-free configurations exist in the design pool. When a complete recovery is not feasible, graceful degradation may be realized which is demonstrated by the PSNR improvement of images processed in a video encoder case study.
- Is Part Of:
- International journal of reconfigurable computing. Volume 2014(2014)
- Journal:
- International journal of reconfigurable computing
- Issue:
- Volume 2014(2014)
- Issue Display:
- Volume 2014, Issue 2014 (2014)
- Year:
- 2014
- Volume:
- 2014
- Issue:
- 2014
- Issue Sort Value:
- 2014-2014-2014-0000
- Page Start:
- Page End:
- Publication Date:
- 2014-03-17
- Subjects:
- Adaptive computing systems -- Periodicals
Adaptive computing systems
Periodicals
004 - Journal URLs:
- https://www.hindawi.com/journals/ijrc/ ↗
http://bibpurl.oclc.org/web/52810 ↗ - DOI:
- 10.1155/2014/279673 ↗
- Languages:
- English
- ISSNs:
- 1687-7195
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library HMNTS - ELD Digital store
- Ingest File:
- 10489.xml