The Letter considers the problem of fault tolerant inversion of triangular matrices based on linear checksum approach. The iterative Shultz method adapted for parallel implementation on triangular processor arrays was used.
Inspec keywords: fault tolerant computing; iterative methods; matrix algebra; multiprocessor interconnection networks; parallel algorithms
Other keywords:
Subjects: Linear algebra (numerical analysis); Parallel programming and algorithm theory; Multiprocessor interconnection
References
-
-
1)
- V.S.S. Nair , J.A. Abraham . Real-number codes for fault-tolerant matrix operations on processor arrays. IEEE Trans. , 4 , 426 - 435
-
2)
- J.A. Abraham , P. Banerjee , C.-Y. Chen , W.K. Fuchs , S.-Y. Kuo , A.L.N. Reddy . Fault tolerance for systolic arrays. IEEE Comput. , 7 , 65 - 74
-
3)
- J.-Y. Jou , J.A. Abraham . Fault-tolerant matrix arithmetic and signal processing on highly concurrent computing structures. Proc. IEEE , 732 - 741
-
4)
- K.H. Huang , J.A. Abraham . Algorithm-based fault tolerance for matrix operations. IEEE Trans. , 518 - 528
-
5)
- Schreiber, R.: `Block algorithms for parallel machines', No. 5, Technical Report, 1987, p. 1–16.
-
6)
- G.M. Megson , D.J. Evans . Algorithmic fault tolerance for matrix operations on triangular arrays. Parallel Comput. , 207 - 219
-
1)
http://iet.metastore.ingenta.com/content/journals/10.1049/el_19920762
Related content
content/journals/10.1049/el_19920762
pub_keyword,iet_inspecKeyword,pub_concept
6
6