Texas Firm to Deliver Solutions for Offloading
Compute-Intensive Algorithms from High Performance Servers
San Diego, August 12, 2003 - Tarari Inc., the award-winning acceleration
company, announced today that Texas-based manufacturer's representative
Racor Systems, Inc. will be selling the Tarari High Performance Computing
Content Processor in Texas, Louisiana, Oklahoma and Arkansas. The
reconfigurable Tarari High Performance Computing Content Processor offloads
compute-intensive algorithms from servers, cluster nodes, and embedded
processors, enabling companies to increase the available cycles in new and
existing clustered computing applications as well as individual servers and
processors. Racor Systems, with 20 years of experience in the embedded
computing market, works with customers in the general industrial control,
telecom, military, and oilfield equipment industries.
"There's a tremendous need for extreme acceleration in many of the markets
we serve, including High Performance Computing," said Randy Hoffman,
president of Racor Systems, "and with Tarari's technology, we will be able
to offer our customers an extraordinary boost in performance while also
controlling costs. This is what our customers are looking for."
"We are excited to have Racor Systems as one of our first partners in
delivering High Performance Computing Content Processors to an eager and
ever-expanding embedded High Performance Computing market," said Randy
Smerik, president and CEO of Tarari, Inc. "Racor's experience and expertise
will help us both expand market awareness and deliver solutions that will
set a much higher performance bar for compute-intensive applications. Tarari
will be appointing other partners in various regions and vertical markets
throughout the United States in the next few months."
The Tarari High Performance Computing Content Processor includes many
unmatched features such as advanced memory management, dynamic instantiation
of multiple agents and a single-board construction that includes a
patent-pending on-board cooling system. Because the Tarari High Performance
Computing Content Processor is production-ready, time to market is
dramatically reduced. Using Tarari High Performance Computing Content
Processors, applications in a variety of fields, such as pattern
recognition, seismic analysis, genomics and real-time processing of high
volumes of data, can run at speeds well over 20-times faster than typical
About Content Processors
Improving performance using multiple processors has evolved from simple
Beowolf clusters to today's high performance super clusters. Tarari High
Performance Computing Content Processors snap into servers, cluster nodes
and embedded processors servers to allow reconfigurable computation
acceleration at much greater computation speeds than previously possible.
The introduction of Content Processors, configured to perform the toughest
portions of compute intensive algorithms, extends the power of HPC clusters
and server-based applications.
About Racor Systems, Inc.
Racor Systems, a manufacturer's representative firm, specializes in embedded
and high-end computing. Addressing needs in the PC, VME and compact PCI
markets, Racor offers complimentary products from several companies,
providing solutions to customers' processing, acquisition, storage display
and packaging requirements. For additional information, please visit
www.racorsystems.com or call +1-972-991-1487
About Tarari, Inc.
Tarari, Inc., the award-winning acceleration company headquartered in San
Diego, CA, USA, designs and produces Tarari Content Processors that off-load
and accelerate compute-intensive complex algorithms used in Network
Security, Web services and High Performance Computing environments. Tarari's
customers include independent software vendors, computer manufacturers and
networking manufacturers. Tarari is a privately-held company with venture
backing from Crosspoint Venture Partners, XMLFund, Miramar Venture Partners
and Intel Capital. For more information, visit: www.tarari.com, e-mail:
firstname.lastname@example.org, or call +1-858-385-5131.