Title :
Fault-tolerant matrix triangularizations on systolic arrays
Author :
Luk, Franklin T. ; Park, Haesun
Author_Institution :
Cornell Univ., Ithaca, NY, USA
fDate :
11/1/1988 12:00:00 AM
Abstract :
Examines the checksum methods of Abraham et al. for LU decomposition on multiprocessor arrays. Their methods are efficient for detecting a transient error, but expensive for correcting it due to the need for a computation rollback. The authors show how to avoid the rollback by using matrix updating techniques, and they introduce new checksum methods for Gaussian elimination with pairwise pivoting and for QR decomposition on systolic arrays
Keywords :
cellular arrays; fault tolerant computing; matrix algebra; parallel algorithms; parallel architectures; Gaussian elimination; LU decomposition; QR decomposition; checksum methods; computation rollback; matrix triangularizations; matrix updating techniques; multiprocessor arrays; pairwise pivoting; systolic arrays; transient error; weighted checksum; Array signal processing; Circuit faults; Computer science; Digital signal processing chips; Error correction; Fault tolerance; Hardware; Matrix decomposition; Modems; Systolic arrays;
Journal_Title :
Computers, IEEE Transactions on