September 13, 2011
Health care analytics is an emerging application area that promises to help cut costs and provide better patient outcomes. To reach that goal though requires sophisticated software that can mimic some of the intelligence of real live physicians. In Sweden, researchers are attempting to do just that by building a model of heart-transplant recipients and donors to improve survival times. Read more…
October 27, 2010
Languages like R and MATLAB, which were once unofficially reserved for technical computing domains are slowly finding their way into enterprises due to the rise in demand for large-scale data analytics. This demand is coupled with recent announcements about cloud-based ways to use these languages, opening new doors to access and use. Read more…
October 18, 2010
Last year Cornell University and Purdue University received funding from the National Science Foundation to undertake their MATLAB on the TeraGrid project. Since its inception a number of researchers have been making use of the resource and Cornell's Center for Advanced Computing is demonstrating that the resource might have a permanent place in the TeraGrid resource provider collection in the future. Read more…
September 20, 2010
MATLAB users with a taste for GPU computing now have a perfect reason to move up to the latest version. Release R2010b adds native GPGPU support that allows user to harness NVIDIA graphics processors for engineering and scientific computing. The new capability is provided within the Parallel Computing Toolbox and Distributed Computing Server. Read more…
Whether an organization chooses a cloud for general business needs or a highly tailored workload, the spectrum of offerings and configurations can be overwhelming. To help you navigate the various cloud options available today, we're breaking down your options, exploring pros and cons, and sharing ways to keep your options open and your business agile as you execute your cloud strategy.
Researchers in academic labs and commercial R&D groups continue to need more compute capacity, which means leveraging the latest innovations in HPC technologies as well as an assortment of resources to meet the unique needs of different workloads. Increasingly, systems based on Arm processors are stepping into that role, offering low power consumption and strategic advantages for HPC workloads.
Whether it's for fraud detection, personalized medicine, manufacturing, smart cities, autonomous vehicles and many other areas, advanced-scale computing has exploded beyond the realm of academia and government and into the private sector. And with data-intensive workloads on the rise, commercial users are turning to HPC-based infrastructure to run the AI, ML and cognitive computing applications that their organizations depend on.
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