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Parallel Processing Systems
David J. Evans
- 01 Jan 1982
102
About: The article was published on 01 Jan 1982. and is currently open access. The article focuses on the topics: Parallel processing (DSP implementation) & Massively parallel.
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Citations
The Choleski Q.I.F. algorithm for solving symmetric linear systems
TL;DR: A matrix factorisation method based on the product of quadrant interlocking factors (Q.I.F.) which can be denoted mnemonically as W and Z and are of ‘butterfly’ or bow-tie form when the given matrix is symmetric then the factorisation resolves into a more simpler form i.e., A = WW T.
14
A recursive decoupling method for solving tridiagonal linear systems
TL;DR: By the use of repeated partitioning of the matrix into (2 × 2) subsystems it is shown that the linear system can be recursively decoupled into an explicit form suitable for solving on parallel or vector computers.
14
Multistep matrix integrators for real-time simulation
TL;DR: An explicit linear multistep matrix-integration technique is presented for vector systems of ODEs which employs the stability region placement approach to permit the time-step to be chosen independently of system eigenvalues.
13
Optimizing systolic networks by fitting diagonals
Rina Surós,Euripides Montagne +1 more
- 01 Apr 1987
TL;DR: The Fitted Diagonals method is proposed in order to halve the number of processors within systolic arrays for matrix computation and it is shown that processor utilization is improved and the time spent by the algorithms is kept invariant.
12
A tightly coupled and hierarchical multiprocessor architecture
TL;DR: The Erlangen General Purpose Array (EGPA) consists of a grid-like array of memory-coupled processor-modules above the array there is a hierarchy of processors for supervising and for data transports.
12
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