The Ohio Supercomputer Center has named its newest HPC cluster after Olympic champion Jesse Owens. The new Owens Cluster will be powered by Dell PowerEdge servers featuring the new Intel Xeon processor E5-2600 v4 product family, include storage components manufactured by DDN, and utilize interconnects provided by Mellanox. “Our newest supercomputer system is the most powerful that the Center has ever run,” ODHE Chancellor John Carey said in a recent letter to Owens’ daughters. “As such, I thought it fitting to name it for your father, who symbolizes speed, integrity and, most significantly for me, compassion as embodied by his tireless work to help youths overcome obstacles to their future success. As a first-generation college graduate, I can relate personally to the value of mentors in the lives of those students.”
Gregory Stoner from AMD presented this talk at the HPC User Forum. “With the announcement of the Boltzmann Initiative and the recent releases of ROCK and ROCR, AMD has ushered in a new era of Heterogeneous Computing. The Boltzmann initiative exposes cutting edge compute capabilities and features on targeted AMD/ATI Radeon discrete GPUs through an open source software stack. The Boltzmann stack is comprised of several components based on open standards, but extended so important hardware capabilities are not hidden by the implementation.”
Researchers at the Canadian Hydrogen Intensity Mapping Experiment (CHIME) will harness AMD FirePro S9300 x2 Server GPUs to analyze extraordinary amounts of data to help create a new, very detailed 3D map of the largest volume of the Universe ever observed. “Not only is the new AMD FirePro S9300 x2 Server GPU the world’s fastest single-precision GPU accelerator, it is also the world’s first professional GPU accelerator to be equipped with High Bandwidth Memory and the first to fully support the Radeon Open Compute platform – an integral element of the GPUOpen compute initiative.”
Today AMD announced that CGG, a pioneering global geophysical services and equipment company, has deployed AMD FirePro S9150 server GPUs to accelerate its geoscience oil and gas research efforts, harnessing more than 1 PetaFLOPS of GPU processing power. Employing AMD’s HPC GPU Computing software tools available on GPUOpen.com, CGG rapidly converted its in-house Nvidia CUDA code to OpenCL for seismic data processing running on an AMD FirePro S9150 GPU production cluster, enabling fast, cost-effective GPU-powered research.
“HBM is a new type of CPU/GPU memory (“RAM”) that vertically stacks memory chips, like floors in a skyscraper. In doing so, it shortens your information commute. Those towers connect to the CPU or GPU through an ultra-fast interconnect called the “interposer.” Several stacks of HBM are plugged into the interposer alongside a CPU or GPU, and that assembled module connects to a circuit board. Though these HBM stacks are not physically integrated with the CPU or GPU, they are so closely and quickly connected via the interposer that HBM’s characteristics are nearly indistinguishable from on-chip integrated RAM.”
Today One Stop Systems showcased its High Density Compute Accelerator (HDCA) with AMD FirePro S9170 GPUs at SC15. The HDCA, with sixteen AMD FirePro S9170 GPUs, provides up to 84 Tflops of peak single precision and 512GB of GPU memory. The HDCA is a complete appliance, cabled from one to four host servers through PCIe x16 Gen3 connections and perfect for adding compute power to any HPC application.
Lewey Anton reports on who’s jumping ship and moving on up in high performance computing. Familiar names this month include Ron Blessing, Rick Friedman, Karl Freund, and Mark Woodyard.
The AMD graphics cards are uniquely equipped with AMD Multiuser GPU technology embedded into the GPU delivering consistent and predictable performance,” said Sean Burke, AMD corporate vice president and general manager, Professional Graphics. “When these AMD GPUs are appropriately configured to the needs of an organization, end users get the same access to the GPU no matter their workload. Each user is provided with the virtualized performance to design, create and execute their workflows without any one user tying up the entire GPU.”
“The AMD FirePro S9170 server GPU can accelerate complex workloads in scientific computing, data analytics, or seismic processing, wielding an industry-leading 32GB of memory. We designed the new offering for supercomputers to achieve massive compute performance while maximizing available power budgets.”
In this slidecast, Einar Rustad from Numascale describes how the company achieved a world-record on the McCalpin STREAM benchmark using their innovative scale-out to scale-up architecture. The benchmark measures sustainable memory bandwidth and the corresponding computation rate for simple vector kernels.