1992IEEE Antennas and Propagation MagazineRequires access

Large parallel processing revisited: a second tutorial

David Davidson

Open publisher page 11 citations

Abstract

An efficient parallel LU algorithm that is suitable for a local-memory MIMD (multiple input multiple data) computer, such as an array of transputers, is described. A graphical approach is used to elucidate the algorithm. The results of a theoretical timing analysis are given. Some methods for reducing the communication load, by intelligent exploitation of the capabilities of certain parallel hardware, are described. Timing results for a code implementing the algorithm on a transputer array are given and compared to results for a parallel conjugate-gradient algorithm. The stability of LU decomposition is discussed. Pivoting is briefly reviewed, although the algorithm described does not implement this, at present. PARNEC, a parallel version of NEC2, is described. The parallel generation of the matrix elements is discussed, and a solution for NEC2 presented. Results for a preliminary test of the accuracy of PARNEC are given. The choice of a CG or LU solver for the solution of the system of linear equations generated by method-of-moment formulation and new parallel hardware are discussed.>

About this research paper

What this paper is about

An efficient parallel LU algorithm that is suitable for a local-memory MIMD (multiple input multiple data) computer, such as an array of transputers, is described. A graphical approach is used to elucidate the algorithm. The results of a theoretical timing analysis are given. Some methods for reducing the communication load, by intelligent exploitation of the capabilities of certain parallel hardware, are described. Timing results for a code implementing the algorithm on a transputer array are given and compared to results for a parallel conjugate-gradient algorithm. The stability of LU decomposition is discussed. Pivoting is briefly reviewed, although the algorithm described does not implement this, at present. PARNEC, a parallel version of NEC2, is described. The parallel generation of the matrix elements is discussed, and a solution for NEC2 presented. Results for a preliminary test of the accuracy of PARNEC are given. The choice of a CG or LU solver for the solution of the system of linear equations generated by method-of-moment formulation and new parallel hardware are discussed.>

Why it matters

OpenAlex reports 11 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

An efficient parallel LU algorithm that is suitable for a local-memory MIMD (multiple input multiple data) computer, such as an array of transputers, is described. A graphical approach is used to elucidate the algorithm. The results of a theoretical timing analysis are given. Some methods for reducing the communication load, by intelligent exploitation of the capabilities of certain parallel hardware, are described. Timing results for a code implementing the algorithm on a transputer array are given and compared to results for a parallel conjugate-gradient algorithm. The stability of LU decomposition is discussed. Pivoting is briefly reviewed, although the algorithm described does not implement this, at present. PARNEC, a parallel version of NEC2, is described. The parallel generation of the matrix elements is discussed, and a solution for NEC2 presented. Results for a preliminary test of the accuracy of PARNEC are given. The choice of a CG or LU solver for the solution of the system of linear equations generated by method-of-moment formulation and new parallel hardware are discussed.>

Key concepts: MIMD, Transputer, Computer science, Parallel computing, Parallel algorithm, Parallel processing, Intel iPSC, Solver

Related papers

Back to paper searchBrowse research topicsOriginal source
Large parallel processing revisited: a second tutorial — Research Paper | ScholarLens