Title :
Efficient fault-tolerant arithmetic using a symmetrical modulus replication RNS
Author :
Imbert, L. ; Jullien, G.A.
Author_Institution :
ATIPS Lab., Calgary Univ., Alta., Canada
fDate :
6/23/1905 12:00:00 AM
Abstract :
We investigate efficiencies that may be introduced into the fault-tolerant modulus replication RNS (MRRNS) system by restricting the data sample polynomials to be even. We refer to this as the symmetrical MRRNS (SMRRNS) technique
Keywords :
error correction; error detection; fault tolerance; polynomials; residue number systems; signal sampling; data sample polynomials; digital signal processing algorithms; fault-tolerant arithmetic; fault-tolerant modulus replication RNS; input data samples; massively parallel implementations; polynomial decomposition; single fault correction; single fault detection; symmetrical MRRNS; symmetrical modulus replication RNS; Arithmetic; Circuit faults; Concurrent computing; Digital signal processing; Error correction; Fault tolerance; Laboratories; Polynomials; Signal generators; Signal processing algorithms;
Conference_Titel :
Signal Processing Systems, 2001 IEEE Workshop on
Conference_Location :
Antwerp
Print_ISBN :
0-7803-7145-3
DOI :
10.1109/SIPS.2001.957334
