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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lam, C.W.H. Li, H.F. Jayakumar, R. |
| Copyright Year | 1968 |
| Abstract | Presents a critical study of two approaches, the classical RC-cut approach and H.T. Kung and M.S. Lam's (Proc. 1984 MIT Conf. Advanced Res. VLSI p.74-83, 1984) RCS-cut approach, for reconfiguring faulty systolic arrays. The amount of cell (processing element) redundancy needed to ensure successful reconfiguration into an n*n array is considered. It is shown that no polynomial bounded redundancy is sufficient for the classical approach, whereas O(n/sup 2/log n) redundancy is sufficient for the Kung and Lams approach. The number of faulty cells that can be tolerated in a given array regardless of their locations is characterized and derived. It is shown that, for both approaches, in almost all cases a square array has better fault tolerance than a rectangular array having the same number of cells. A minimal fault pattern in a 2n*2n array with 3n+1 faults that is not reconfigurable into an n*n array using either of the two approaches is established.< |
| Sponsorship | IEEE Computer Society Technical Committee on Distributed Process IEEE Computer Society Technical Committee on VLSI IEEE Technical Committee on Computer Architecture IEEE Computer Society |
| Starting Page | 833 |
| Ending Page | 844 |
| Page Count | 12 |
| File Size | 1083821 |
| File Format | |
| ISSN | 00189340 |
| Volume Number | 38 |
| Issue Number | 6 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1989-06-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fault tolerance Systolic arrays Circuit faults Redundancy Fabrication Polynomials Very large scale integration Pattern analysis Geometry Process design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Theoretical Computer Science Computational Theory and Mathematics Software Hardware and Architecture |
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