June 18, 2011
At this week's International Supercomputing Conference in Hamburg, Germany, two of the biggest topics on the agenda are heterogeneous architectures and GPU/accelerator computing. Those emerging trends are joined at the hip, thanks mostly to the efforts of NVIDIA and their industry partners. Intel's ongoing plans for its Many Integrated Core (MIC) co-processor and AMD's introduction of its CPU-GPU "Fusion" processors are yet additional indications that the industry is moving to an architecture where CPUs married to accelerators will provide the next big seismic shift in high performance computing. Read more…
December 1, 2010
As the high performance computing community hurtles toward the exaflop milestone, it has become clear that the natural evolution of multicore x86 CPUs won't get the industry very far toward that goal. Manycore GPGPUs, on the other hand, do appear to be a viable path to exascale computing. So where does that leave GPU-less Intel? Read more…
November 15, 2010
SGI has made good on its promise to create a petaflop-in-a-cabinet supercomputer that can scale up to tens and even hundreds of cabinets. Developed under the code name "Project Mojo," the company has dubbed the new product Prism XL. SGI will be showcasing the system this week in their exhibit booth at the Supercomputing Conference in New Orleans. 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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