In this video from SC16, Dr. Eng Lim Goh from HPE/SGI discusses new trends in HPC Energy Efficiency and Deep Learning. “SGI’s leadership in data analytics derives from deep expertise in High Performance Computing and over two decades delivering many of the world’s fastest supercomputers. Leveraging this experience and SGI’s innovative shared and distributed memory computing solutions for data analytics enables organizations to achieve greater insight, accelerate innovation, and gain competitive advantage.”
SC16 returns to Salt Lake City on Nov. 13-18. The Six-day supercomputing event features internationally-known expert speakers, cutting-edge workshops and sessions, a non-stop student competition, the world’s largest supercomputing exhibition,panel discussions and much more. “No other annual event showcases the revolutionary advances and possibilities of high performance computing than the annual ACM/IEEE International Conference for High Performance Computing, Networking, Data Storage Analysis. From the impact of HPC on the future of medicine, to its transformative power in developing countries and “smart cities.” SC is the premiere venue for presenting leading-edge HPC research.”
Datacenters that are designed for High Performance Computing (HPC) applications are more difficult to design and construct than those that are designed for more basic enterprise applications. Organizations that are creating these datacenters need to be aware of, and design for systems that are expected to run at their maximum or near maximum performance for the lifecycle of the servers.
Over at the Parallella Blog, Andreas Olafsson from Adapteva writes that the company has reached an important milestone on its next-generation Epiphany-V chip. “Thanks to a generous grant from DARPA, we just taped out a 16nm chip with 1024 64-bit processor cores. To give a comparison, our 4.5B transistor chip is smaller than Apple’s latest A10 chip and has 256 times as many processors. The chip offers an 80x processor density advantage over high performance chips from Intel and Nvidia.”
Ozalp Babaoglu from the University of Bologna presented this Google Talk. “At exascale, failures and errors will be frequent, with many instances occurring daily. This fact places resilience squarely as another major roadblock to sustainability. In this talk, I will argue that large computer systems, including exascale HPC systems, will ultimately be operated based on predictive computational models obtained through data-science tools, and at that point, the intervention of humans will be limited to setting high-level goals and policies rather than performing “nuts-and-bolts” operations.”
“As more organizations turn to high performance computing to process large data sets, demand is growing for scalable and secure data centre solutions. The source, availability and reliability of the power grid infrastructure is becoming a critical factor in a data centre site selection decision,” said Jeff Monroe, CEO at Verne Global. “Verne Global is able to deliver EI a forward-thinking path for growth with a solution that combines unparalleled costs savings with operational efficiencies to support their data-intensive research.”
This week at the Hot Chips conference, Phytium Technology from China unveiled a 64-core CPU and a related prototype computer server. “Phytium says the new CPU chip, with 64-bit arithmetic compatible with ARMv8 instructions, is able to perform 512 GFLOPS at base frequency of 2.0 GHz and on 100 watts of power dissipation.”
Nikkei in Japan writes that the Post K supercomputer is facing 1-2 year delay for deployment as part of the Flagship2020 project. Originally targeted for completion in 2020, the ARM-based Post K supercomputer has a performance target of being 100 times faster than the original K computer within a power envelope that will only be 3-4 times that of its predecessor. Nikkei cites semiconductor development issues as the reason for the project delay.