Wolfram Research Announces Parallel Computing Support for
Mathematica
Wolfram Research is introducing parallel computing support for
Mathematica. Now entering
its beta test phase, the upcoming Parallel Computing Toolkit will add
parallel
programming over a network of heterogeneous machines to the long list of
programming
paradigms supported in Mathematica.
"I am really excited that one can now do interactive parallel
symbolic, numeric, and
graphic computation entirely within Mathematica," says Roman
Maeder, creator of the
Parallel Computing Toolkit, author of
several books on Mathematica programming, and
one of the original Mathematica developers. "One of my key
motivations for writing this
package was to finally make serious parallel computing truly accessible
to a wide range of
workgroups, labs, and classrooms."
The Parallel Computing Toolkit brings parallel computation to anybody
having access to
more than one computer on a network. It implements many parallel
programming primitives
and includes highlevel commands for parallel execution of operations
such as animation,
plotting, and matrix manipulation. Also supported are many popular new
programming
approaches such as parallel Monte Carlo simulation, visualization,
searching, and
optimization. The implementations for all highlevel commands in the
Parallel Computing
Toolkit are provided in Mathematica source form and serve as
templates for building
additional parallel programs.
The Parallel Computing Toolkit builds on Mathematica's
advanced symbolic programming
language. It is written entirely in the Mathematica language and
uses Mathematica's
standard MathLink protocol to communicate between any number of
Mathematica kernels. The
kernels can run under any supported operating system including Unix,
Linux, Windows, and
Macintosh. The individual machines can be single or multiprocessor PCs
and servers
connected through TCP/IP.
The Parallel Computing Toolkit supports all common parallel
programming paradigms: shared
or distributed memory, automatic or explicit scheduling, and concurrency
including
synchronization, locking, and latency hiding. It also supports failure
recovery. In the
event of a network, hardware, or software failure, the affected
computation is reassigned.

The Parallel Computing Toolkit was presented at the
Workshop on Parallel
Symbolic Computation on October 13, 1998, at the Mathematical
Sciences Research Institute, Berkeley, California.
Download the presentation:
Mathematica
notebook
Zip
file
See the presenter's web site for the
HTML form of the presentation.


