Parallel Processing Systems

Open AccessBook

Parallel Processing Systems

- 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

Journal Article•10.1080/01495739708941424

On asynchronous iterative methods for the solution of non-linear equations and systems of equations for multiprocessors

Francisco Criado, +1 more

- 01 Jan 1997

- Parallel Algorithms and Applications

TL;DR: This paper investigates the problem of constructing iterative methods for solving non-linear algebraic equations and systems of equations corresponding to a parallel implementation on a multiprocessor system with no synchronization between co-operating processes.

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Journal Article•10.1016/S0167-8191(99)00069-1

Ring, torus and hypercube architectures/algorithms for parallel computing

Sivaramakrishnan Lakshmivarahan, +1 more

- 01 Dec 1999

TL;DR: This paper provides a survey of both architectural and algorithmic aspects of solving problems using parallel processors with ring, torus and hypercube interconnection with a focus on ring- torus interconnection.

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Journal Article•10.1016/0011-684X(86)90070-5

Parallel processing

D J Evans

- 01 Dec 1986

- Data Processing

TL;DR: Software algorithms are being reformulated to exploit more fully the potential of parallel computers, including pipelining, array or vector processing and multiple processors.

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A bibliography on parallel and vector numerical algorithms

James M. Ortega, +2 more

- 01 Jul 1987

TL;DR: This is a bibliography on numerical methods that includes a number of other references on machine architecture, programming language, and other topics of interest to scientific computing.

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•Proceedings Article

A Fault-Tolerant Approach to Distributed Applications

Toan Nguyen, +2 more

- 22 Jul 2013

TL;DR: This paper addresses issues in application resilience, i.e., fault-tolerance to algorithmic errors and to resource allocation failures, and overviews a platform used to deploy, execute, monitor, restart and resume distributed applications on grids and cloud infrastructures in case of unexpected behavior.

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