Today, AMD (NASDAQ: AMD) showcased its continued leadership in high
performance computing (HPC) at Supercomputing 23. AMD EPYC™
processors and AMD Instinct™ accelerators continue to be the
solutions of choice for many of the most innovative, energy
efficient and fastest supercomputers in the world. AMD now powers
140 supercomputers on the latest Top500 list representing a 39%
year-over-year increase. Additionally, AMD powers eight of the top
ten most energy efficient supercomputers in the world based on the
latest Green500 list.
“AMD technology continues to be at the forefront of solving the
world’s most important challenges. Our partnerships with national
labs and research facilities around the world accelerate scientific
discoveries, while driving new levels of understanding for critical
items like health, energy, physics and more,” said Forrest Norrod,
executive vice president and general manager, Data Center Solutions
Group, AMD. “Working together with the industry, we are helping to
establish and drive new paradigms of performance and energy
efficiency, while empowering scientists and researchers of the
world to advance the groundbreaking work that seeks to answer
humanity’s toughest questions.”
The Exascale Era is AMDThe Frontier
supercomputer at Oak Ridge National Laboratory, powered by AMD EPYC
processors and Instinct accelerators, remains the fastest computer
in the world - for the fourth list in a row. Providing an
impressive blend of the best performance and leadership energy
efficiency, Frontier continues to drive impactful science through
its first full year of user operations. The latest scientific
projects on Frontier include new research on power grid
optimization, new designs on airplane engines for better efficiency
and capabilities as well as two out of six finalists for the Gordon
Bell award.
The second exascale class supercomputer to be powered by AMD, El
Capitan, has started its installation process at Lawrence Livermore
National Laboratory. The system will be powered by the forthcoming
AMD Instinct MI300A APU, which is the first data center APU to
combine CPU and GPU cores and high-bandwidth memory, all in a
single package. This innovative design is anticipated to provide
dramatic increases in both energy efficiency and performance. When
it comes online, El Capitan is expected to exceed two exaflops of
double precision performance, becoming the second AMD powered
supercomputer to surpass the exaflop barrier. You can see more
about El Capitan at this video from Lawrence Livermore National
Laboratory.
“We are making excellent progress on the installation of El
Capitan, which will clearly be one of the world's best computing
systems,” said Bronis R. de Supinski, the Chief Technology Officer
for Livermore Computing at Lawrence Livermore National Laboratory.
“This enormous undertaking of multiple partners is creating a
system that will enable our scientists to achieve results which
they previously could only dream about. El Capitan will offer
incredible programmability, performance and energy efficiency
through its use of the AMD Instinct MI300A APUs virtually
eliminating the challenges of repeatedly moving data between CPUs
and GPUs, thus helping us achieve our mission.”
Enabling More Energy Efficient ComputingIn HPC,
energy efficiency is a top priority for the industry to meet
sustainability commitments and deliver performance to enable the
next generation of supercomputers. AMD is setting a new pace of
innovation to accelerate energy efficiency through its 30x25 goal,
which aims to deliver a 30x energy efficiency improvement in
processors and accelerators for AI-training and HPC by 2025i, from
a 2020 baseline, through a holistic approach to chip design and
system-level improvementsii.
Showcasing the impact of the energy efficiency capabilities of
AMD EPYC processors and AMD Instinct accelerators, AMD powers eight
of the top 10 systems on the latest Green500 list, including the
two most powerful supercomputers on the top ten; Frontier and the
Adastra supercomputer.
Convergence of AI and HPCAMD is also providing
the hardware and software portfolio needed to meet the rapidly
growing demand for applications of AI within the HPC industry.
AMD Instinct accelerators and AMD EPYC processors are currently
powering the top two systems, Frontier and LUMI, in the latest
HPL-MxP mixed-precision benchmark, which highlights the convergence
of HPC and AI workloads. Overall, AMD-based systems were the clear
winners at the top of the list – with Frontier achieving an HPL-MxP
score of 9.95 exaflops and the LUMI system reaching 2.35 exaflops –
highlighting continued growth and capabilities of AMD EPYC CPUs and
AMD Instinct accelerators in AI workloads.
In software, AMD continues to push an open software ecosystem
with the AI and HPC communities, working together to support new
applications, frameworks, languages and more through open software.
The AMD ROCm™ open software platform continues to advance and
be utilized across multiple large scale HPC and AI systems. The
ROCm software stack also has “day zero” support for PyTorch 2.0
providing developers with an extensive array of AI models powered
by PyTorch that are compatible and ready to use “out of the box” on
AMD accelerators.
AMD Instinct MI300A Solution PartnersHPE
recently announced the HPE Cray Supercomputing EX255a accelerator
blade, featuring the AMD Instinct MI300A APU. Ideal for AI and HPC
workloads, the MI300A APU will be the world’s first APU accelerator
for AI and HPC. See the AMD-powered HPE Cray Supercomputing EX255a
at HPE’s booth #913.
Additionally, GENCI, the French HPC and AI agency, will engage
its first extension of the Adastra supercomputer based on AMD
Instinct MI300A accelerators. This future AMD-based partition will
offer French researchers support in the convergence of HPC and AI
applications.
Finally, Eviden has recently developed an AMD Instinct
MI300A-powered blade for the BullSequana XH3000 full DLC
SuperComputer line and will be delivering the first AMD Instinct
MI300A-based SuperComputer in H1-24 at Max Planck Data Facility
(MPCDF) in Germany. Visit the Eviden Booth #655 showcasing the
BullSequana XH3000 and AMD Technologies.
Visit the AMD booth #1117 at Supercomputing 2023 to learn more
about AMD solutions for HPC and speak with AMD experts.
Supporting Resources
- Learn more about AMD EPYC Processors
- Learn more about AMD Instinct Accelerators
- Follow AMD on Twitter
- Connect with AMD on LinkedIn
About AMDFor more than 50 years AMD has driven
innovation in high-performance computing, graphics and
visualization technologies. Billions of people, leading Fortune 500
businesses and cutting-edge scientific research institutions around
the world rely on AMD technology daily to improve how they live,
work and play. AMD employees are focused on building leadership
high-performance and adaptive products that push the boundaries of
what is possible. For more information about how AMD is enabling
today and inspiring tomorrow, visit the AMD (NASDAQ:
AMD) website, blog, LinkedIn and Twitter pages.
AMD, the AMD Arrow logo, EPYC, AMD Instinct, ROCm and
combinations thereof are trademarks of Advanced Micro Devices, Inc.
Other names are for informational purposes only and may be
trademarks of their respective owners.
i 2 Includes AMD high-performance CPU and GPU accelerators used
for AI training and high-performance computing in a 4-Accelerator,
CPU-hosted configuration. Goal calculations are based on
performance scores as measured by standard performance metrics
(HPC: Linpack DGEMM kernel FLOPS with 4k matrix size. AI training:
lower precision training-focused floating-point math GEMM kernels
such as FP16 or BF16 FLOPS operating on 4k matrices) divided by the
rated power consumption of a representative accelerated compute
node, including the CPU host + memory and 4 GPU accelerators.
ii EPYC-030a: Calculation includes 1) base case kWhr use
projections in 2025 conducted with Koomey Analytics based on
available research and data that includes segment specific
projected 2025 deployment volumes and data center power utilization
effectiveness (PUE) including GPU HPC and machine learning (ML)
installations, and 2) AMD CPU and GPU node power consumptions
incorporating segment-specific utilization (active vs. idle)
percentages and multiplied by PUE to determine actual total energy
use for calculation of the performance per Watt. 13.5x is
calculated using the following formula: (base case HPC node kWhr
use projection in 2025 * AMD 2023 perf/Watt improvement using DGEMM
and TEC +Base case ML node kWhr use projection in 2025 *AMD 2023
perf/Watt improvement using ML math and TEC) /(2020 perf/Watt *
Base case projected kWhr usage in 2025). For more information:
www.amd.com/en/corporate-responsibility/data-center-sustainability.
Contact:
Aaron Grabein
AMD Communications
(512) 602-8950
Aaron.grabein@amd.com
Suresh Bhaskaran
AMD Investor Relations
(408) 749-2845
Suresh.Bhaskaran@amd.com
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