Software for the Parallel Solution of Systems of ...

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State. and ZIP Code) ... Technical Report. PRO.M ... B. Neta. Naval Postgraduate School. Department of Mathematics. Code MA ...... Florida State University.
VPS-MA-91-009

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SOFTWARE FOR THE PARALLEL SOLUTION OF SYSTEMS OF ORDINARY DIFFERENTIAL EQUATIONS

Levi Lustman Beny Neta

February 1991 Approved for public release; distribution unlimited Prepared for: Naval Postgraduate School Monterey, CA 93943

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Software for the Parallel Solution of Systems of Ordinary Differential Equations 12 PiRSONAL AUTHOR(S)

Levi Lustman and Beny Neta 0a1 TYPE OP REPORT 16 SUPPLEMENIARY

17 FIELD

114

13l.b TIME COVERED

Technical Report

PRO.M1/291

. 2/25/91j

DATE OF REPORT lye r. on?i. Day)

15 PAGE COUNT

28 February 191

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NOTATION

(OSAII COOES SUB-GROUP

18 SUBJECTF If MS

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lContinue on reverse if necessary and

idenity

by block

numbev)

ordinary differential equations, parallel processing, hypercube

19 ABs (RACI (Continue on reverse ifnecessary and identity by block number)

This report contains software for the solution of systems of ordinary differential

*equations on an INTEL iPSC/2 hypercube. from the second author.

A diskette is available upon request

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Levi Lustman and Beny Neta DU FORM 1473.814 MAR

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Software for the Parallel Solution of Systems of Ordinary Differential Equations

L. Lustman B. Neta

Naval Postgraduate School Department of Mathematics Code MA Monterey, CA 93943

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Abstract This report contains software for the solution of systems of ordinary differential equations on an INTEL iPSC/2 hypercube. A diskette is available upon request from the second author.

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1

1.

Introduction

In this report we supply software for the numerical solution of systems of ordinary differential equations (ODEs) on an INTEL iPSC/2 hypercube. The first program can only be used to solve linear initial or boundary value systems of ODEs and based on an algorithm developed by Katti and Neta (1989) and improved by Lustman et al (1990). The second program is based on polynomial extrapolation and Gragg's scheme and is useful for nonlinear ODEs as well. This algorithm is described in Lustman, Neta and Gragg (1991).

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2.

Linear Systems

In this section we give the software for the solution of linear systems of ODEs: y'(x) = Ay(x) +g(x), a < x < b y(a) = y The algorithm used was developed by Katti and Neta (1989) and improved by Lustman et al (1990). The host and node program are given. The subroutines sa, sf and putex give the matrix A, the right hand side of (1) and the exact solution (for debugging purposes) respectively. An example of input and output corresponding to these subroutines are attached.

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HOST c c solving initial value problems by multiple shooting c on INTEL iPSC/2 hypercube having 8 (maxnp) processors C

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" change everywhere, in both node and host programs, ndim=3 c c to whatever value is appropriate. C

program mshivph integer intype, inlen, outype, out len integer ymtype, ymlength integer n ,np,ndim,nin,nout, m , mnp integer allnodes, hostpid, nodepid parameter (nmax=lOO) parameter (ndim=3, nout~1) parameter (maxnp=8) parameter (nin=nmax*maxnp+ndim+lO) parameter (intype=lO,outype=20, inlen=4*nin # ymtype=30,ymlength=ndim* (ndim+l) *4 # outlen=4*nout,allnodes= -1 # hostpid=8, nodepid=14) common/cmn/n, ndimc, ninc, noutc #,m,mp,h, left,right,g,x real g (ndim) , x (O:nmax*maxnp) , yin (1) real vout (flout) , left , right equivalence # (n,vin(l)),(ndimc,vin(2)),(ninc,vin(3)) # ' (noutc,vin(4)) ,(m,vin(5)), (mp,vin(6)) #1 (h,vin(7)), (left,vin(8)), (right,vin(9)) #: (g (1) , vin(10) ) #, (x(O) ,vin(lO+ndim)) ndimc=ndim ninc=nin noutc=nout '61 call getcube('shoot',' call setpid (hostpid) print*,' got the maximal cube,',numnodeso,' nodes' call load( 'node' ,allnodes,nodepid) print*,' after load' print*,' enter ',ndim,' initial values g' read*, (g(i) ,i=l,ndim) print*,' enter endpoints of interval' read*, left, right print*,'solve for ',left,,