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Numascale Teams with Supermicro & AMD for Large Shared Memory System


Last week at SC15, Numascale announced the successful installation of a large shared memory Numascale/Supermicro/AMD system at a customer datacenter facility in North America. The system is the first part of a large cloud computing facility for analytics and simulation of sensor data combined with historical data. “The Numascale system, installed over the last two weeks, consists of 108 Supermicro 1U servers connected in a 3D torus with NumaConnect, using three cabinets with 36 servers apiece in a 6x6x3 topology. Each server has 48 cores in three AMD Opteron 6386 CPUs and 192 GBytes memory, providing a single system image and 20.7 TBytes to all 5184 cores. The system was designed to meet user demand for “very large memory” hardware solutions running a standard single image Linux OS on commodity x86 based servers.”

One Stop Systems Showcases HDCA with 16 AMD FirePro S9170 GPUs at SC15


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.

HPC People on the Move: Halloween Edition

Dr. Lewey Anton

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.

AMD Demos World’s First Hardware-Based Virtualized GPU Solution


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.”

New AMD FirePro S9170 GPU Sports 32GB Memory for HPC


“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.”

Slidecast: Numascale Achieves Record STREAM Benchmark


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.

AMD and Dell Power Bioinformatics at University of Warsaw


Today AMD unveiled innovation in heterogeneous HPC at the Centre of New Technologies at the University of Warsaw. In a new cluster deployment called Orion, the Next Generation Sequencing Centre in Warsaw is powering bioinformatics research with 1.5 petaFLOPS of AMD FirePro S9150 server GPU performance.

Video: L-CSC Cluster Tops Green500 with AMD Firepro

Dr. Rohr, and the L-CSC cluster,  currently 1st on the Green 500 List

In this video, researchers describes the Lattice-CSC cluster in Darmstadt, Germany. Currently the most energy-efficient supercomputer on the Green500 list, the Lattice-CSC is powered by 640 AMD FirePro S9150 GPUs to achieve 5.27 GFLOPS/Watt.

Alternatives to x86: Future Processing Technologies

Robert Roe

In the second article in his series on future hardware for HPC, Robert Roe from Scientific Computing World looks at alternatives to the x86, including server on a chip and OpenPower.

Interview with Dr. David Rohr on AMD FirePro for High Energy Physics

Dr. David Rohr

Dr. David Rohr from the Frankfurt Institute for Advanced Studies (FIAS) describes how he is using AMD FirePro to accelerate high energy physics.