Silicon Graphics introduces NVIDIA Tesla K20 family of GPU accelerators
Dec 04, 2012 (Datamonitor via COMTEX) --
Silicon Graphics International Corp., an American manufacturer of computer hardware and software, has announced the availability of NVIDIA Tesla K20 family of GPU accelerators in fully managed and integrated solutions across its entire server product line.
According to the company, the NVIDIA Tesla K20X GPU accelerator can speed up applications by up to 10X1 when paired with CPUs. It features the new GK110 GPU with 2,688 cores, 3.95 teraflops single-precision and 1.31 teraflops double-precision peak processing capability, 6 GB of on-board memory, and a memory bandwidth of 250 GB/s. The Tesla K20 accelerator delivers more than 3.52 teraflops of single-precision and 1.17 teraflops of double-precision peak performance.
Both accelerators are powered by NVIDIA CUDA, the parallel computing platform and programming model, and take advantage of new technologies like Dynamic Parallelism and Hyper-Q to boost performance and power efficiency, the company said.
SGI's GPU accelerator solutions are offered on the platforms include SGI UV 2000, the 'Big Brain Computer,' with up to 4,096 cores and 64 TB of coherent main memory for in-memory GPU computing in the single image system, SGI UV 20, the power packed small sibling of the SGI UV 2000, ideal for development or remote office solutions, with greater than 2.5 Teraflops of compute, 1.5 TB of memory, 4 PCIe gen 3 slots and two internal I/O modules, all in a 2U package with four Intel Xeon E5-4600 processors and two NVIDIA Tesla K20 accelerators, SGI Rackable twin-socket Intel Xeon servers tailored to meet your exact specifications for high-density, high GPU to CPU ratios, high I/O or high memory and SGI ICE X, the new edition of SGI's high performance computing scale-out blade server with GPU additions via service nodes.
"With the assistance of NVIDIA and the Kepler GPU accelerators, the Swinburne supercomputers from SGI have proven to be excellent research tools in areas of astronomy, ranging from simulations of the dynamical evolution of the universe to the processing of data collected from radio telescopes," said Dr Jarrod Hurley, manager of Swinburne University's supercomputer.
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