SGI Enables Harvard Medical School and Massachusetts General Hospital to Improve Patient Care and Accelerate Medical

SGI Enables Harvard Medical School and Massachusetts General Hospital to 
Improve Patient Care and Accelerate Medical Breakthroughs 
Center for Advanced Medical Imaging Sciences (CAMIS) Radiology
Department Leverages In-Memory System for Real-Time Imaging and
MILPITAS, CA -- (Marketwired) -- 04/30/14 --  SGI (NASDAQ: SGI), the
trusted leader in high performance computing and Big Data, today
announced that Massachusetts General Hospital and Harvard Medical
School's Center for Advanced Medical Imaging Sciences (CAMIS)
Radiology Department has selected SGI to enhance research
capabilities for diagnostic medical imaging.  
CAMIS was faced with an aging computational and storage legacy
architecture that inhibited the organization from obtaining the
high-quality, real-time diagnostic imaging necessary for innovation
in neurology, cardiac, and related medical research departments.
Imaging applications deployed by CAMIS utilize large amounts of
memory to perform the necessary calculations that produce
high-quality images, however the increased complexity of data sets
required the calculations to be made in multiple pieces thus slowing
the rate the medical center was able to produce innovative findings. 
After securing a funding award from the National Institute of Health
(NIH), CAMIS researched several offerings from a number of system
vendors to replace its legacy architecture. Thanks to its proven
ability to solve large-scale, data-intensive problems with
industry-standard components while providing ease-of-use benefits,
CAMIS ultimately chose industry standard SGI(R) UV(TM) 2000 and
SGI(R) UV(TM) 20 large shared-memory systems and SGI(R)
InfiniteStorage(TM) 5000. CAMIS purchased the solution through
ComnetCo, an SGI channel partner specialized in providing high
performance computing solutions to technical markets across the
United States.  
The comprehensive, highly scalable shared-memory technology from SGI
has enabled CAMIS to update their current research infrastructure
with increased computational power, enabling higher-quality,
real-time Magnetic Resonance (MR) and Positron Emission Tomography
(PET) images not possible with other platforms. SGI's UV architecture
also allows CAMIS to explore new techniques for the diagnosis and
nt of many life-threatening illnesses, reduce radiation
exposure for at-risk patients, and foster new insights in diagnostic
medical imaging research. 
"In the last decade we have seen tremendous advances in imaging
technology in part thanks to the innovations in data intensive
computing technology. As a result of these advances and research we
are doing at CAMIS, scientists and doctors will be able to utilize
high-quality, real-time diagnostic imaging to increase diagnostic
accuracy and decrease risks to patients," said Dr. Georges El Fakhri,
director of CAMIS at Massachusetts General Hospital. "With the help
of technology like SGI's, radiology research is able to take a route
that will facilitate increased knowledge about patients and fuel
remarkable advances in the medical industry." 
The need to balance a desire for a powerful computational
architecture with better accessibility for researchers and a
decreased administrative burden positioned SGI as the standout
enterprise-grade vendor to advance CAMIS' research and diagnostic
capabilities. Scaling to 2,048 cores, 4,096 threads, and up to 64
terabytes (TB) of globally shared memory, the UV 2000 system delivers
more than twice the price/performance of competitor's offerings,
while using industry-standard components, including the Intel(R)
Xeon(R) processor family and standard Linux(R) distributions.  
To increase ease of management for its scientists, CAMIS researchers
were able to design a research solution around the SGI UV 2000
platform that enables scientists to seamlessly move the same code
from their laptop to a much larger computational environment
efficiently and with ease. Not having to adapt application
development for alternative CPUs or port code to work better with
proprietary operating systems enables CAMIS' researchers to rapidly
prototype new software, lowering their administrative IT burden,
increasing research workflow capabilities, and retaining the
flexibility to operate much like a traditional scale-out
compute/storage solution. With SGI UV solutions CAMIS researchers are
able to continue consolidating multiple jobs to run in parallel, in a
scheduled batch mode similar to traditional Linux cluster
"The life sciences have increasingly shifted toward a data-first
model to drive breakthroughs across every aspect of medical research.
The data surge has created a strong demand for scalable computing and
storage solutions that help drive real-time insights and improve the
quality of research," said Jorge Titinger, president and CEO for SGI.
"High-resolution imaging is just one of many medical research
disciplines that will benefit from advances in scalable, real-time
data capture -- we are honored to have Massachusetts General Hospital
and Harvard Medical School's Center for Advanced Medical Imaging
Sciences Radi
ology Department choose ComnetCo and SGI to power their
world-class research efforts." 
About SGI
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(HPC), is focused on helping customers solve their most demanding
business and technology challenges by delivering technical computing,
Big Data analytics, cloud computing, and petascale storage solutions
that accelerate time to discovery, innovation, and profitability.
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reserved. SGI, the SGI logo, SGI UV, SGI InfiniteStorage are
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Grayling Public Relations 
Jessie Adams-Shore 
(415) 593-1400 
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