July 21, 2016
Dark silicon refers to the processing potential that's lost when thermal constraints disallow full CPU utilization. The gap between transistor scaling and voltage scaling combined with tighter integration of components (multicore, SoCs) has power density ramifications that are of particular concern for embedded computing, but high-performance computing faces similar "dark power" challenges. Bringing attention to this issue and exploring common solutions was the goal of the Dagstuhl Seminar 16052, “Dark Silicon: From Embedded to HPC Systems.” Read more…
August 22, 2012
Chipmaker Adapteva is sampling its 4th-generation multicore processor, known as Epiphany-IV. The 64-core chip delivers a peak performance of 100 gigaflops and draws just two watts of power, yielding a stunning 50 gigaflops/watt. The engineering samples were manufactured by GLOBALFOUNDRIES on its latest 28nm process technology. Read more…
May 29, 2012
ARM Holdings, along with seven other academic and industrial partners, is ramping up a European research project designed to bring accelerator programming to mainstream developers. Known as CARP (Correct and Efficient Accelerator Programming), the effort is focused on developing hardware-independent programming tools around OpenCL, the industry standard parallel computing environment for GPUs and other accelerators. 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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