February 28, 2011
NVIDIA is set to release a new CUDA toolkit to developers this Friday with the 4th generation of its popular GPU software suite. The company says CUDA 4.0 is designed to make parallel programming simpler, thus bringing more application developers into the GPGPU fold. Some of the new capabilities also foreshadow Project Denver, the codename for the company's future CPU-GPU architecture for workstations, servers, and supercomputers. Read more…
January 6, 2011
The inaugural edition of The Weekly Top Five covers the massive NEC storage installation at the French Brain & Spine Institute; the Platform HPC cloud survey; NVIDIA's ARM-based CPU-GPU processor strategy; Glasgow's thousand-core FPGA; and Whamcloud's new talent. 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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