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.
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.”
Penguin Computing just announced the Altus Altus 2a30, a building block for the first application optimized accelerated processing unit (APU) clusters, making seamless GPU and CPU memory sharing on clusters a reality based on heterogeneous system architecture (HSA) from AMD. The shared memory capability involves very lightweight context switches to switch instantaneously between the GPU and CPU, whichever code runs best at a given moment.
Today AMD announced that for the third straight year it was awarded research grants for development of critical technologies needed for extreme-scale computing in conjunction with projects associated with the U.S. Department of Energy (DOE) Extreme-Scale Computing Research and Development Program, known as “FastForward 2.”