Acceleware Announces GPU Based Cluster Solution



    
    64 GPU Solution Extends Acceleware's Acceleration Platform to Provide
                    Unmatched Scalability and Performance
    

    DRESDEN, Germany, June 17 /CNW/ - At the International Supercomputing
Conference, Acceleware Corp. (TSX-V: AXE), a leading developer of high
performance computing (HPC) solutions, today released the world's first
commercially available GPU-based cluster solution, the C30-16. This solution
combines Acceleware's new clustering technology with its portfolio of
designed-for-parallel computational algorithms to harness the power of 64
GPUs, delivering unprecedented performance and scalability for enterprise
customers.
    "The processing capability of the GPU hardware combined with Acceleware's
software to eliminate the complexity of parallel processing from our software
partners, allows them to quickly deliver powerful accelerated cluster
solutions to their end-users," said Ryan Schneider, Acceleware's CTO.
"Delivering a solution of this power is a significant milestone for
Acceleware, demonstrating the scalability of our platform for the large and
complex computing problems our customers face."
    Acceleware's enterprise customers, ranging from innovators of high-tech
products to oil exploration firms operating in complex geological locations,
require specialized solutions to address their difficult computational
requirements. Acceleware's vertical domain expertise in building
designed-for-parallel, performance tuned software combined with GPU clustering
experience, results in leading edge application performance previously
unattainable on conventional hardware clusters. This solution brings together
all the advantages of clustering - scalable commodity performance,
enterprise-class computing capacity - with the advantages of GPU acceleration
- compelling performance gains, higher compute densities and lower total cost
of ownership from superior power, cooling and space utilization.
    "There is a clear market opportunity for high performance solutions that
incorporate significant processing power beyond the commodity microprocessor,
either because the application cannot effectively take advantage of the
multiple cores in today's processors or because the processors and memory
required would consume too much power," said Addison Snell, VP of Tabor
Research. "GPU-based solutions offer an alternative for finding cost-effective
performance for computationally intensive problems."
    "Tesla GPUs offer compelling performance for many applications, when
using single or multiple GPUs in one system," says Andy Keane, NVIDIA's
General Manager of GPU Computing. "The cluster technology in Acceleware's
Platform software takes this compelling performance to the next level, by
connecting several hosts together, allowing customers to scale their
simulation and data processing problems taking advantage of the performance
and memory available on NVIDIA's current and future Tesla, datacenter
products."
    The GPU cluster solution combined with Acceleware's computational
algorithms was benchmarked with data provided by end users, confirming
processing power capable of solving problems billions of cells in size with
speeds approaching 14 Gigacells per second for electronic design customers. At
these processing speeds, Acceleware's C30-16 is competitive against
traditional, more expensive clusters of around 1000 cores. For seismic
customers using techniques like Reverse Time Migration, problem sets in the
range of billions of cells over thousands of square kilometers found in large
marine surveys will now be commercially possible with the Acceleware solution.
    Based on NVIDIA Tesla GPU computing technology, Acceleware's new cluster
solution is available in four pre-defined configurations, allowing for
customers to match their processing needs. The cluster solutions start with a
16 GPU configuration and progresses through 32, 48 and up to 64 GPUs. The
NVIDIA GPU nodes come packaged in a 1U (four GPU) data center form-factor
coupled with host server nodes that incorporate high-speed Infiniband
interconnect.
    Acceleware will also be demonstrating the cluster solution at   IEEE
IMS-MTT 2008 in Atlanta, Georgia, June 17 - 20.
    The Acceleware GPU based cluster solutions are available for purchase.

    About Acceleware

    Acceleware develops and markets solutions that enable software vendors to
leverage heterogeneous, multi-core processing hardware without rewriting their
applications for parallel computing. This acceleration middleware allows
customers to speed-up simulation and data processing algorithms, benefiting
from high performance computing technologies available in the market such as
multiple-core CPUs, GPUs or other acceleration hardware.
    Acceleware solutions are deployed by companies worldwide such Philips,
Boston Scientific, Samsung, Eli Lilly, General Mills, Nokia, LG, RIM, Kyocera,
Medtronic, Hitachi, Fujifilm, FDA, Mitsubishi, Sony Ericsson, AGC, NTT DoCoMo,
and Renault to speed up product design, analyze data and make better business
decisions in areas such as electronic manufacturing, oil & gas, medical and
security imaging, industrial and consumer products, and academic research.
    Acceleware is a public company on Canada's TSX Venture Exchange under the
trading symbol AXE.

    The TSX Venture Exchange Inc. does not accept responsibility for the
    adequacy or accuracy of this release.

    %SEDAR: 00021476E




For further information:

For further information: Press Only: Kerry Tescher, Liaison Inc., (415)
391-0859, kerry@liaisonpr.com; Charlee Forbrigger, Acceleware Corp., (403)
249-9099 ext. 287, charlee.forbrigger@acceleware.com; Investor Contact: Thomas
McMillan, The Equicom Group, (403) 536-5903, tmcmillan@equicomgroup.com

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ACCELEWARE CORP.

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