"Plug and Play" Cluster Software
Adds Support for LAM/MPI and mpich-gm while
Enhancing Access behind Firewalls
Huntington Beach, California, USA - September 21, 2004 - Dauger Research, Inc.,
ships version 1.5.5 of Pooch, the Parallel OperatiOn and Control Heuristic
application. This version introduces new technologies to access and run clusters
behind firewalls and automatically access job output.
In addition, it adds support for the use of
Myrinet hardware from
"Pooch is the fastest and easiest way to enter parallel computing",
said Dr. Dean Dauger, President of Dauger
Research, Inc. "With this version we are making good on our commitment to
making Pooch the most flexible parallel computing tool we can,
supporting LAM/MPI and Myrinet hardware.
Pooch now supports five MPI implementations."
Pooch, winner the IEEE Cluster conference's latest "most innovative" award,
combines powerful, numerically-intensive parallel-computing clusters with the famed ease-of-use of
the Macintosh. Combining the best of cluster and grid computing, Pooch is the
only solution that merges a modern graphical user interface with
supercomputer-compatible parallel computing. It provides the user interface
for the latest incarnation of AppleSeed, a UCLA Physics project begun in 1998.
For six years, their software is being used world-wide to transform Macintoshes
into easy-to-use, numerically-intensive parallel computers.
Pooch has supported Message-Passing Interface (MPI) since day one.
Adding LAM/MPI and
mpich-gm with this release, it now supports five
different MPI implementations to take advantage of parallel computing within boxes and across
boxes simultaneously. The LAM/MPI implementation we modified is provided on our web site,
mpich-gm implementation for Myrinet hardware
required no modification.
A suite of updated utilities designed for remote, command-line installation and
access accompanies every Pooch shipped.
Pooch is the easiest way to build and use a parallel computer. It debuted with
features others have yet to accomplish and integrate. Pooch remains the only
cluster or grid solution that installs on a node in seconds. Pooch's tolerance
for variations in node configuration and execution environments is
unparalleled. And Pooch continues combining computational resources over the
Internet with a mouse click.
Version 1.5.5 is the latest in a series of updates that utilize the latest
technology. Pooch was the first to use Rendezvous to discover nodes for
computation. Pooch takes advantage of AppleScript and multiprocessing in OS X,
utilizes logged out OS X machines for parallel computing, and supports
automated grid behavior and cluster access for other desktop applications.
Pooch v1.5 is available for US$175 for the first compute node then US$125 for
each node thereafter. Pooch Pro v1.5 is available for US$200 for the first
compute node then US$150 for each node thereafter. See the web site for special
Users may order Pooch and other available software using the forms on our web site or online
through the Dauger Research Store.
The Pooch web site recently debuted
on writing parallel code.
GUI and command-line installers containing a trial Pooch,
sample parallel applications
and source code, a
Pooch Software Development Kit, and
mailing list devoted to parallel computing and updated information about
and running code in parallel,
the Pooch site makes it easier than ever to write, develop, and
run your own parallel code today.
Pooch requires networked Macintoshes and/or Xserve's running Mac OS 9 with
CarbonLib 1.2 or later, Mac OS X 10.2 or later, and/or Mac OS X Server 10.2 or
later with 4 MB of available RAM and 2 MB of disk space.
We encourage you to revisit the Pooch web site.
Dauger Research, Inc., was incorporated and founded by Dr. Dean E. Dauger. Dr.
Dauger is the award-winning author of Atom in a Box and Fresnel Diffraction
Explorer and co-authored the original, award-winning Kai's Power Tools
software. After completing his Ph. D. in physics, he founded Dauger Research,
Inc., to bridge the divides between the scientifically and technically complex
and the mainstream by making high-performance computation and visualization
easy to use and accessible to users.
Other company and product names may be trademarks of the respective companies with which
they are associated.