Building on the success of Sun Grid Engine software for the Solaris
Operating Environment- -which has been downloaded by over 1000 organizations in
70 countries since its launch last year Sun's Grid Engine software now
addresses the majority of the UNIX marketplace.
Distributed resource management (DRM) software such as the Sun Grid
Engine product is designed to harness idle compute resources, match them to
individual job requirements and deliver network-wide compute power to the
desktop. Through this horizontal scaling, Sun Grid Engine software manages an
organization's compute resources, allowing engineers to move beyond the desktop
and leverage all the resources available on the net, thus reducing cycle times,
speeding time to market and fundamentally changing the economics of technical
computing.
Sun foresees technical compute farms " - the architecture created using
Sun Grid Engine software - as the platform of choice for high-performance
computing. Sun Grid Engine software is designed to provide the massive
scalability and agility needed to help companies keep pace with and capitalize
on the Net Effect -- the macro-economic trend that is driving the exponential
growth and increasing complexity the industry is experiencing as data, users,
devices, services and availability requirements continue to multiply.
DRM software helps solve the problem of how to apply maximum resources
to a single compute-intensive problem, and achieving massive scalability within
the technical marketplace. An optimized technical compute farm using Sun Grid
Engine software can push the utilization of an organization's computing
resources from a typical 20 percent to as high as 90 percent.
Following through on its commitment to make Sun Grid Engine software a
ubiquitous industry model, Sun Microsystems, plans to distribute the source code
of its software under an industry-accepted open source license, through an
alliance with CollabNet. This joint effort, expected to roll out during the
next six months, should facilitate increased adoption of the distributed
technical compute farm model.