NVIDIA GPUs Open the Door to ARM64 Entry Into High Performance Computing

NVIDIA GPUs Open the Door to ARM64 Entry Into High Performance Computing 
LEIPZIG, GERMANY -- (Marketwired) -- 06/23/14 --   ISC'14 -- NVIDIA
(NASDAQ: NVDA) today announced that multiple server vendors are
leveraging the performance of NVIDIA(R) GPU accelerators to launch
the world's first 64-bit ARM development systems for high performance
computing (HPC).  
ARM64 server processors were primarily designed for micro-servers and
web servers because of their extreme energy efficiency. Now, they can
tackle HPC-class workloads when paired with GPU accelerators using
the NVIDIA CUDA(R) 6.5 parallel programming platform, which supports
64-bit ARM processors. 
GPUs provide ARM64 server vendors with the muscle to tackle HPC
workloads, enabling them to build high-performance systems that
maximize the ARM architecture's power efficiency and system
configurability. A list of initial ARM64 systems is provided below. 
Highly Efficient HPC Computing Options
 Featuring Applied Micro
X-GeneARM64 CPUs and NVIDIA Tesla(R) K20 GPU accelerators, the new
ARM64 servers will provide customers with an expanded range of
efficient, high-performance computing options to drive
compute-intensive HPC and enterprise data center workloads. In
addition, users will immediately be able to take advantage of
hundreds of existing CUDA-accelerated scientific and engineering HPC
applications by simply recompiling them to ARM64 systems.  
"NVIDIA has built the industry's most comprehensive accelerated
computing platform -- including servers, software, development tools,
processors, and related technologies -- optimized for the HPC
industry," said Ian Buck, vice president of Accelerated Computing at
NVIDIA. "GPUs are the enabling technology that allow server vendors
to build HPC-class systems around flexible ARM64 processors. The
result is new, highly innovative computing solutions for HPC." 
Using ARM to Drive Scientific Discovery
 "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
"The availability of accelerated 64-bit ARM servers is one of the
most significant developments to hit the HPC market this year," said
Earl Joseph, IDC program vice president for HPC. "IDC believes there
is substantial interest within the HPC community in evaluating
GPU-accelerated 64-bit ARM systems for next-generation computing
Availability Next Month
 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
--  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.

NVIDIA is demonstrating new ARM development systems at the
International Supercomputing Conference, June 23-26, in booth 230.  
About NVIDIA Tesla GPU Accelerators
 NVIDIA Tesla GPUs are massively
parallel accelerators based on the NVIDIA CUDA parallel computing
platform and programming model. Tesla GPUs are designed from the
ground up for power-efficient, high performance computing,
computational science, supercomputing, big data analytics, and
machine learning applications, delivering dramatically higher
acceleration for a range of scientific and commercial applications
than a CPU-only approach.  
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to, statements as to: the impact, benefits and availability of NVIDIA
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For further information, contact:
George Millington
NVIDIA Public Relations 
(408) 562-7226
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