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{\large \bf
USING NETWORKED WORKSTATIONS \\[0.05em]
AS PARALLEL COMPUTERS FOR \\[0.4em]
COMPUTATIONAL PHYSICS
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Paul Coddington$^{1,2}$, David Edelsohn$^{1,3}$, Leping Han$^1$, and 
Enzo Marinari$^{1,4}$.

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$^1$ {\it Department of Physics, Syracuse University, \\ 
          Syracuse NY 13244 U.S.A.}

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$^2$ {\it Northeast Parallel Architectures Center, \\
          111 College Place, Syracuse University, Syracuse NY 13244 U.S.A.}

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$^3$ {\it IBM Corporation, T.J. Watson Research Center, \\
          P.O. Box 218, Yorktown Heights, NY 10598, U.S.A.}

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$^4$ {\it Dipartimento di Fisica, Universit\`a di Roma} Tor Vergata, \\ 
     {\it Via E. Carnevale, 00173 Roma, Italy.}

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paulc@npac.syr.edu, edelsohn@sccs.syr.edu, 
han@sccs.syr.edu, marinari@sccs.syr.edu
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{\bf ABSTRACT}
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\noindent
We have implemented a set of computational physics codes on a network
of IBM RS/6000 workstations with standard ethernet connections.
The algorithms range from simple, local, and regular to complex,
non-local, dynamic, and irregular.
We describe our experiences in using this network for distributed and 
parallel computing, and
compare the performance of our programs on the distributed network and 
on a tightly coupled distributed memory MIMD parallel computer. 
We discuss ideas for improving the software and hardware to make distributed
parallel computing on workstation networks more easily usable for
computational physics.

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