NVIDIA Brings CUDA to Arm, Enabling New Path to Exascale Supercomputing
June 17 2019 - 3:00AM
International Supercomputing Conference
--
NVIDIA today announced
its support for Arm CPUs, providing the high performance computing
industry a new path to build extremely energy-efficient, AI-enabled
exascale supercomputers.
NVIDIA is making available to the Arm® ecosystem its full stack
of AI and HPC software — which accelerates more than 600 HPC
applications and all AI frameworks — by year’s end. The stack
includes all NVIDIA CUDA-X AI™ and HPC libraries, GPU-accelerated
AI frameworks and software development tools such as PGI compilers
with OpenACC support and profilers.
Once stack optimization is complete, NVIDIA will accelerate all
major CPU architectures, including x86, POWER and Arm.
“Supercomputers are the essential instruments of scientific
discovery, and achieving exascale supercomputing will dramatically
expand the frontier of human knowledge,” said Jensen Huang, founder
and CEO of NVIDIA. “As traditional compute scaling ends, power will
limit all supercomputers. The combination of NVIDIA’s
CUDA-accelerated computing and Arm’s energy-efficient CPU
architecture will give the HPC community a boost to exascale.”
“Arm is working with our ecosystem to deliver unprecedented
compute performance gains and exascale-class capabilities to
Arm-based SoCs,” said Simon Segars, CEO of Arm. “Collaborating with
NVIDIA to bring CUDA acceleration to the Arm architecture is a key
milestone for the HPC community, which is already deploying Arm
technology to address some of the world’s most complex research
challenges.”
According to the Green500 list released today, NVIDIA powers 22
of the world’s 25 most energy-efficient supercomputers.
Key factors making this possible are: the ability of NVIDIA
GPU-powered supercomputers to offload heavy processing jobs to more
energy-efficient parallel processing CUDA® GPUs; NVIDIA’s
collaboration with Mellanox to optimize processing across entire
supercomputing clusters; and NVIDIA’s invention of SXM 3D-packaging
and NVIDIA NVLink® interconnect technology, which allows for
extremely dense scale-up nodes.
NVIDIA’s support for Arm-based HPC systems builds on more than
10 years of collaboration. NVIDIA uses Arm for several of its
system on a chip products available for portable gaming, autonomous
vehicles, robotics and embedded AI computing.
Strong Ecosystem SupportWorld leaders of the
HPC industry and Arm ecosystem, including supercomputing centers
and systems providers and system-on-a-chip manufacturers, have
voiced their support.
“Our
customers are looking for high-performance, Arm-based processors to
run their most demanding workloads. We are thrilled that NVIDIA is
moving CUDA and the rich ecosystem built around NVIDIA to Arm. This
will accelerate our work in building out the software ecosystem for
Arm-based servers and enable breakthrough Ampere platforms with
NVIDIA GPUs for efficiency and performance.” |
— Renee James, chairman and CEO, Ampere Computing |
|
“Atos is a pioneer in the ARM ecosystem through the Montblanc
project and an Arm computing blade design available for the
exascale supercomputers, BullSequana X. We are really pleased to
support NVIDIA’s major announcement to turbo-boost Arm, which will
accelerate the convergence of the AI and simulation worlds while
optimizing energy efficiency.” |
— Pierre Barnabé, senior executive vice president, head of Big Data
& CyberSecurity Division, Atos |
|
“At Cray our vision for the exascale era is systems that
integrate AI and analytics with modeling and simulation, systems
that enable and often require a diversity of processor
architectures and systems that are built for data-intensive
workloads required in science, engineering and digital
transformation. We are excited to partner with NVIDIA to help
realize this vision in our supercomputers by leveraging their CUDA
and CUDA-X HPC and AI software stack to the Arm platform and
integrating it closely with our Cray system management and
programming environment (compilers, libraries and tools) already
enabled to support Arm processors across our XC and future Shasta
supercomputers.” |
— Peter Ungaro, president and CEO, Cray |
|
“EuroHPC enables European collaboration on high performance
computing to advance research, innovation and industrial growth. We
are very interested in testing NVIDIA’s GPU-accelerated computing
platform for HPC and AI on Arm as a potential building block for
future pre-exascale solutions.” |
— Kimmo Koski, managing director, CSC |
|
“The European Processor Initiative aims to endow the European
Union with its own high-end, low-power, general purpose and
accelerator solutions. EPI and SiPearl, its industrial hand,
consider very positively the new possibilities offered by NVIDIA.
The combination between the EPI Arm-based microprocessor and NVIDIA
accelerator could make a perfect match for equipping building
blocks in the future European exascale modular
supercomputers.” |
— Philippe Notton, general manager, EPI |
|
“Both NVIDIA and Arm leverage technologies that offer high
performance computing customers greater levels of energy
efficiency. NVIDIA’s support for Arm complements our latest
developments on the HPE Apollo 70, an Arm-based, purpose-built HPC
system, and now, NVIDIA GPU-enabled. With the HPE Apollo 70
supporting a 2U GPU tray and multiple energy-efficient cooling
options, we can further help the HPC industry address increasingly
unsustainable levels of power consumption.” |
— Bill Mannel, vice president and general manager of HPC and AI,
HPE |
|
“The Jülich Supercomputing Centre is driving developments at
the forefront of supercomputing and establishing modular
technologies to make the best resources available most effectively
to researchers in Europe to help them solve the world’s greatest
challenges. Particularly in view of the exascale systems planned
for the coming years and the rise of large-scale AI calculations,
NVIDIA’s support of the Arm processor is a very exciting
development, which is essential for the establishment of true
modularity for supercomputers and composable data centers of the
future. It will help to advance supercomputing in Europe.” |
— Thomas Lippert, director, Jülich Supercomputing Centre |
|
“We are excited to work with NVIDIA and server OEMs to couple
the CUDA-X platform and NVIDIA GPUs with the Marvell ThunderX2
family of server processors. The combination of ThunderX2’s
best-in-class 64-bit Armv8 performance and NVIDIA GPUs offers
breakthrough levels of energy efficiency and application
performance, enabling world-class HPC and AI solutions for exascale
computing.” |
— Matt Murphy, president and CEO, Marvell |
|
“As the leader in HPC networks, our InfiniBand and Ethernet
technologies connect many of the largest supercomputers in the
world, including the first generation of Arm-based systems. We look
forward to continuing to work with NVIDIA to deploy our advanced
200Gb/s HDR and computational-networking technologies to optimize
HPC and artificial intelligence workloads and to super-connect the
next generation of Arm-based supercomputers.” |
— Eyal Waldman, founder and CEO, Mellanox Technologies |
|
“We have been a pioneer in using NVIDIA GPUs on large-scale
supercomputers for the last decade, including Japan’s most powerful
ABCI supercomputer. At Riken R-CCS, we are currently developing the
next-generation, Arm-based, exascale Fugaku supercomputer and are
thrilled to hear that NVIDIA’s GPU acceleration platform will soon
be available for Arm-based systems.” |
— Satoshi Matsuoka, director, Riken Center for Computational
Sciences, and professor, Tokyo Institute of Technology |
|
About NVIDIANVIDIA‘s (NASDAQ: NVDA) invention
of the GPU in 1999 sparked the growth of the PC gaming market,
redefined modern computer graphics and revolutionized parallel
computing. More recently, GPU deep learning ignited modern AI — the
next era of computing — with the GPU acting as the brain of
computers, robots and self-driving cars that can perceive and
understand the world. More information at
http://nvidianews.nvidia.com/.
For further information, contact:Kristin
BrysonPR Director, AI and Accelerated
ComputingNVIDIA+1-203-241-9190kbryson@nvidia.com
Certain statements in this press release including, but not
limited to, statements as to: support for Arm CPU architecture
enabling a new path to exascale supercomputing; NVIDIA’s software
stack being optimized for Arm and enabling a new wave of exascale
supercomputers; the availability of NVIDIA’s full stack of software
to Arm and its ecosystem; NVIDIA accelerating all major CPU
architectures; the world’s supercomputers becoming power
constrained; NVIDIA’s support for Arm being a step forward to
provide high performance computing a more power-efficient future;
the benefits, performance, impact and abilities of NVIDIA’s
technologies, including NVIDIA GPU-powered supercomputers; how
NVIDIA powers the energy-efficient supercomputers; the Arm
community requesting NVIDIA CUDA acceleration and the announcement
thrilling the world’s HPC ecosystem; customers looking forward to
Arm-based processors, NVIDIA moving CUDA to Arm and it enabling
breakthrough Ampere platforms; computing at exascale enabling a new
world of AI and science; ATOS solutions with NVIDIA GPUs and Arm
architecture providing energy efficiencies and delivering science
at exascale and beyond; EuroHPC enabling collaboration and their
interest in testing NVIDIA’s platform on Arm as a building block
for future pre-exascale solutions; Cray’s vision for the exascale
era and their excitement to and how they will work with NVIDIA to
realize this vision; the combination of EPI microprocessors and
NVIDIA equipping the building blocks of future European exascale
modular supercomputers; the combination of Arm-based CPU processors
with NVIDIA GPUs being a game-changer for the industry; NVIDIA and
Arm helping to contend with increasing levels of power consumption;
the Jülich Supercomputing Center driving developments at the
forefront of supercomputing and establishing modular technologies
to help solve the world’s greatest challenges; the excitement for
NVIDIA’s support of the Arm processor and it helping to advance
supercomputing in Europe; Arm and NVIDIA computing enabling Lenovo
to target solutions as the world races to exascale; Arm and NVIDIA
enabling world-class HPC and AI solutions; Mellanox looking forward
to working with NVIDIA to deploy technologies to optimize HPC and
AI workloads and to connect the next generation of Arm-based
supercomputers; and Riken’s development of the next generation
Arm-based exascale supercomputer and excitement about NVIDIA’s GPU
platform being available for Arm-based systems are forward-looking
statements that are subject to risks and uncertainties that could
cause results to be materially different than expectations.
Important factors that could cause actual results to differ
materially include: global economic conditions; our reliance on
third parties to manufacture, assemble, package and test our
products; the impact of technological development and competition;
development of new products and technologies or enhancements to our
existing product and technologies; market acceptance of our
products or our partners’ products; design, manufacturing or
software defects; changes in consumer preferences or demands;
changes in industry standards and interfaces; unexpected loss of
performance of our products or technologies when integrated into
systems; as well as other factors detailed from time to time in the
most recent reports NVIDIA files with the Securities and Exchange
Commission, or SEC, including, but not limited to, its annual
report on Form 10-K and quarterly reports on Form 10-Q. Copies of
reports filed with the SEC are posted on the company’s website and
are available from NVIDIA without charge. These forward-looking
statements are not guarantees of future performance and speak only
as of the date hereof, and, except as required by law, NVIDIA
disclaims any obligation to update these forward-looking statements
to reflect future events or circumstances.
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