From: rrzanny@cs.wmich.edu (Rodger R. Zanny)
Newsgroups: comp.parallel.mpi
Subject: ANNOUNCEMENT: Release of ParInt1.0
Date: 26 Jul 1999 09:59:12 -0400
Organization: Western Michigan University
Message-Id: <u8dpv1fms0f.fsf@cs.wmich.edu>
Xref: ukc comp.parallel.mpi:5379


Announcement about an MPI based software package...


**********************************************************************
		    S O F T W A R E  R E L E A S E
**********************************************************************

    The ParInt Research Project of Western Michigan University and
      Washington State University is proud to announce the first
	      formal release of our software, ParInt1.0.

			    * * * * * * *

This release incorporates a set of techniques for numerically solving
multivariate integration problems.  The algorithm incorporates
parallel globally adaptive integration, with each processor storing
its own priority queue of subproblems and performing scheduler-based
local load balancing.  Features of the release include:

 * Two techniques for running the software:
    - Running the ParInt executable from the unix command line
    - Using the ParInt API; allowing the user to solve integration
       problems from their own C applications by using ParInt
       functions
 * Support for double and long double accuracy
 * Use of MPI for underlying processor communication, providing
    platform independence
 * Support for user integrand functions written in C or Fortran
 * Support for vector integrand functions, integrated over
    hyperrectangular regions.
 * A full User Manual.

			    * * * * * * *

Users can download the release and view the documentation (.ps or
.html) from the ParInt web site: http://www.cs.wmich.edu/~parint.
Questions can be directed to parint@cs.wmich.edu.  We are currently
working towards the release of ParInt1.1.

			    * * * * * * *

About the ParInt Research Project:
-------------------------------------

There are two main goals of the ParInt project: to investigate new
techniques in the distributed computation of multivariate integrals,
and, to develop a user-friendly software interface for these
techniques.  Research areas include load balancing, distributed data
structures, scientific visualization, and theoretical mathematical
topics such as Quasi-Monte Carlo techniques and extrapolation.

ParInt is led by Elise de Doncker and Ajay Gupta at WMU, and Alan Genz
at WSU.

--Rodger

-- 
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* Western Michigan University                                          -
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