BRISBANE, Australia, June 4, 2013 (GLOBE NEWSWIRE) -- SGI (Nasdaq:SGI), the trusted leader in technical computing, today announced that Translational Research Institute (TRI) has selected SGI to provide a big data HPC solution powered by SGI® UV™ 2000 shared memory platform, SGI® Rackable® clusters and SGI® InfiniteStorage™ to accelerate results at its new state-of-the-art research centre. This new facility, which represents four leading medical research institutes, will focus on advanced treatments and therapies for common and serious disease such as cancers, diabetes, inflammatory diseases, HIV, malaria, bone and joint diseases and obesity. The Institute is destined to be the largest biomedical research institute in the Southern Hemisphere. Researchers will now have access to the necessary technology and facilities in one location, which will positively impact productivity through the rate at which work is processed and scientific results are achieved. SGI's compute and data storage solution provides more than 2,200 SGI Rackable compute cores, 256 cores and 4TB of memory SGI UV 2000 and more than one petabyte of SGI InfiniteStorage high performance storage. Up to three petabytes of historical and inactive data will be stored on tape and available via SGI's DMF system. The combination of SGI Rackable scale out clusters, UV 2000 shared memory for large 'in memory' application requirements along with high performance storage offered the flexibility of compute, storage platforms and software that TRI needed to tackle their big data problems. This solution will complement the massive amounts of data that high resolution gene sequencers, microscopes and associated laboratory equipment generate. The SGI solution will assist in increasing productivity and accelerating the time to discovery of new treatments, subsequent commercialisation and significant patents. TRI Chief Operating Officer Dr. Kate Johnston highlights the rapid advances seen in research and development over the last decade, signalling that scientific research is fast becoming an exercise in handling enormous data sets.
"Scientists are essentially looking for the veritable 'needle in a haystack' in amongst this data," said Dr. Johnston. "Without the correct technology to do this it could take researchers years to find their 'needle.' The SGI High Performance cluster provides our researchers with the computing power they need in order to both analyse and appropriately store their large experimental datasets."SGI has a long and positive reputation of providing high performance infrastructure to enable Australian research projects. Dr. Eng Lim Goh, SGI's senior vice president and chief technology officer, speaks about how important it is for SGI to be a part of this pioneering work. "The storage, analytical and computational needs of TRI are substantial and unique," said Dr. Goh. "SGI with our big data solutions are proud to be a part of TRI as they translate their discoveries to advances in patient care." TRI's collective expertise across common and serious diseases such as cancers, diabetes, inflammatory diseases, HIV, malaria, bone and joint diseases, obesity and children's health research will have a direct impact on improved public health and enhanced preventative treatments for people worldwide. The Institute brings four of Australia's leading research facilities together with the aim of translating the findings of basic biomedical research into better patient outcomes. About SGI SGI, the trusted leader in technical computing, is focused on helping customers solve their most demanding business and technology challenges. Visit sgi.com for more information. Connect with SGI on Twitter (@sgi_corp), YouTube (youtube.com/sgicorp), Facebook (facebook.com/sgiglobal) and LinkedIn. About Translational Research Institute (TRI) The Institute a joint venture between The University of Queensland Diamantina Institute, Queensland University of Technology's Institute of Health and Biomedical Innovation, Mater Research Institute and the Princess Alexandra Hospital Centre's for Health Research has been made possible through funding provided by the Australian and Queensland Governments, The Atlantic Philanthropies, UQ and QUT.
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