May 2, 2013
We've scoured the journals and conference proceedings to bring you the top research stories of the week. This diverse set of items includes the latest CAREER award recipient; the push to bring parallel computing to the classroom; HPC in accelerator science; the emerging Many-Task Computing paradigm; and a unified programming model for data-intensive computing. Read more…
April 18, 2013
A giant leap in bone structure research paves the way for advances in osteoporosis treatment; details from UCSD's Research CyberInfrastructure (RCI) Program reveal what PIs really want; and a cloud computing programming model puts the focus on predictable performance. Plus GPU-related research and more... Read more…
March 28, 2013
There are a few themes that run along this week’s pick for the top research items that emerged over the last seven days. Among these are making systems running HPC applications more efficient, both at the VM and storage layers. Further, we present research on energy efficiency, job scheduling and resource sharing. Read more…
February 7, 2013
The top research stories of the week have been hand-selected from prominent science journals and leading conference proceedings. Here's another diverse set of items, including GPGPU programming challenges, checkpoint-restart for HPC cloud applications, some distributed computing primers, novel methods for detecting concurrency errors, and the latest patent applications. 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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