“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.
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.
AMD powers the L-CSC cluster at the GSI research facility which achieved the number one position for most energy efficient supercomputers on the latest Green500™ List. The L-CSC cluster is installed at the GSI Helmholtzzentrum für Schwerionenforschung GmbH research facility in Darmstadt, Germany, and is powered by AMD FirePro™ S9150 server GPUs.
“Featuring the first AMD Graphics Core Next (GCN) architecture specifically with compute workloads in mind, the AMD FirePro S9150 server GPU supports enhanced double precision floating point computation and breaks the 2.0 TFLOPS double precision barrier. With 16GB of GDDR5 memory and maximum power consumption of 235 watts, AMD FirePro S9150 server GPUs provide massive compute performance while helping maximize available power budgets.”
“Powered by Intel’s Xeon E5-2600 v3 processor, Penguin Computing’s Tundra OpenHPC platform delivers density, performance and serviceability for demanding and extraordinary customers. Built to be compatible with Open Compute Open Rack specifications, the Tundra OpenHPC platform provides customers with a powerful and compact HPC server designed to reduce infrastructure costs when moving to the next generation of technology.”