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Home » NVIDIA and Partners Develop GPU-accelerated ARM64 Servers for HPC

NVIDIA and Partners Develop GPU-accelerated ARM64 Servers for HPC

June 23, 2014
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NVIDIA is seeing progress in leverage its GPU accelerators in supercomputers.  Multiple server vendors are now developing 64-bit ARM development systems integrating its NVIDIA GPU processors for high performance computing (HPC).

The new ARM64 servers feature Applied Micro X-GeneARM64 CPUs and NVIDIA Tesla K20 GPU accelerators.  The systems use the hundreds of existing CUDA-accelerated scientific and engineering HPC applications by simply recompiling them to ARM64 systems.

The first GPU-accelerated ARM64 development platforms will be available in July from Cirrascale Corp. and E4 Computer Engineering, with production systems expected to ship later this year. The Eurotech Group also plans to ship production systems later this year. System details include:

  • Cirrascale RM1905D – High-density two-in-one 1U server with two Tesla K20 GPU accelerators; provides high-performance, low total cost of ownership for private cloud, public cloud, HPC, and enterprise applications.
  • E4 EK003 – Production-ready, low-power 3U, dual-motherboard server appliance with two Tesla K20 GPU accelerators, designed for seismic, signal and image processing, video analytics, track analysis, web applications and MapReduce processing. 
  • Eurotech – Ultra-high density, energy efficient and modular Aurora HPC server configuration, based on proprietary Brick Technology and featuring direct hot liquid cooling.

“We aim to leverage the latest technology advances, both within and beyond the HPC market, to move science forward in entirely new ways,” said Pat McCormick, senior scientist at Los Alamos National Laboratory. “We are working with NVIDIA to explore how we can unite GPU acceleration with novel technologies like ARM to drive new levels of scientific discovery and innovation.”

http://nvidianews.nvidia.com/News/NVIDIA-GPUs-Open-the-Door-to-ARM64-Entry-Into-High-Performance-Computing-b52.aspx

Tags: AMDARMBlueprint columnsNvidiaSuperComputing
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