Breakthrough HPC clustering solution and
simplified programmability enable massive scale-out of cutting-edge
compute across existing customer infrastructure and network
SC21 – Xilinx, Inc. (NASDAQ: XLNX), the leader in
adaptive computing, today at the SC21 supercomputing conference
introduced the Alveo™ U55C data center accelerator card and a new
standards-based, API-driven clustering solution for deploying FPGAs
at massive scale. The Alveo U55C accelerator brings superior
performance-per-watt to high performance computing (HPC) and
database workloads and easily scales through the Xilinx® HPC
clustering solution.
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Xilinx Alveo™ U55C data center
accelerator card (Photo: Business Wire)
Purpose-built for HPC and big data workloads, the new Alveo U55C
card is the company’s most powerful Alveo accelerator card ever,
offering the highest compute density and HBM capacity in the Alveo
accelerator portfolio. Together with the new Xilinx RoCE v2-based
clustering solution, a broad spectrum of customers with large-scale
compute workloads can now implement powerful FPGA-based HPC
clustering using their existing data center infrastructure and
network.
“Scaling out Alveo compute capabilities to target HPC workloads
is now easier, more efficient and more powerful than ever,” said
Salil Raje, executive vice president and general manager, Data
Center Group at Xilinx. “Architecturally, FPGA-based accelerators
like Alveo cards provide the highest performance at the lowest cost
for many compute-intensive workloads. By introducing a
standards-based methodology that enables the creation of Alveo HPC
clusters using a customer’s existing infrastructure and network,
we’re delivering those key advantages at massive scale to any data
center. This is a major leap forward for even broader adoption of
Alveo and adaptive computing throughout the data center.”
Built for HPC and big data applications
The Alveo U55C card combines many key features that today’s HPC
workloads require. It delivers more parallelism of data pipelines,
superior memory management, optimized data movement throughout the
pipeline, and the highest performance-per-watt in the Alveo
portfolio. The Alveo U55C card is a single-slot full height, half
length (FHHL) form factor with a low 150W max power. It offers
superior compute density and doubles the HBM2 to 16GB compared to
its predecessor, the dual-slot Alveo U280 card. The U55C provides
more compute in a smaller form factor for creating dense Alveo
accelerator-based clusters. It’s built for high-density streaming
data, high IO math, and big compute problems that require scale-out
like big data analytics and AI applications.
Leveraging RoCE v2 and data center bridging, coupled with 200
Gbps bandwidth, the API-driven clustering solution enables an Alveo
network that competes with InfiniBand networks in performance and
latency, with no vendor lock-in. MPI integration allows for HPC
developers to scale out Alveo data pipelining from the Xilinx
Vitis™ unified software platform. Utilizing existing open standards
and frameworks, it’s now possible to scale out across hundreds of
Alveo cards regardless of the server platforms and network
infrastructure and with shared workloads and memory.
Software developers and data scientists can unlock the benefits
of Alveo and adaptive computing through high-level programmability
of both the application and cluster utilizing the Vitis platform.
Xilinx has invested heavily in the Vitis development platform and
tools flow to make adaptive computing more accessible to software
developers and data scientists without hardware expertise. The
major AI frameworks like Pytorch and Tensorflow are supported, as
well as high-level programming languages like C, C++ and Python,
allowing developers to build domain solutions using specific APIs
and libraries, or utilize Xilinx software development kits, to
easily accelerate key HPC workloads within an existing data
center.
HPC customer use cases
CSIRO, Australia’s national research organization along with the
world’s largest radio astronomy antenna array, is utilizing Alveo
U55C cards for signal processing in the Square Kilometer Array
radio telescope. Deploying the Alveo cards as network-attached
accelerators with HBM allows for massive throughput at scale across
the HPC signal processing cluster. The Alveo accelerator-based
cluster allows CSIRO to tackle the massive compute task of
aggregating, filtering, preparing and processing data from 131,000
antennas in real time. The 460Gbps of HBM2 bandwidth across the
signal processing cluster is served by 420 Alveo U55C cards fully
networked together across P4-enabled 100Gbps switches. The Alveo
U55C cluster delivers processing performance with overall
throughput at 15Tb/s in a compact power and cost efficient
footprint. CSIRO is now completing an example Alveo reference
design in order to help other radio astronomy or adjacent
industries achieve the same success.
Ansys LS-DYNA crash simulation software is used by nearly every
automotive company in the world. The design of safety and
structural systems hinges on the performance of models as they
mitigate the costs of physical crash testing with computer-aided
design finite element method (FEM) simulations. FEM solvers are the
primary algorithms driving simulations with hundreds of millions of
degrees of freedom, these enormous algorithms can be broken out
into more rudimentary solvers like PCG, sparse matrices and ICCG.
By scaling out across many Alveo cards with hyperparallel data
pipelining, LS-DYNA can accelerate performance by more than 5X in
comparison to x86 CPUs. This results in more work per clock cycle
in an Alveo pipeline with LS-DYNA customers benefiting from game
changing simulation times.
“In the spirit of relentless innovation, we’re excited about
collaborating with Xilinx to significantly accelerate the
finite-element solvers, which can represent 90% of the compute
workload for implicit mechanics, in our LS-DYNA simulation
application,” said Wim Slagter, strategic partnerships director at
Ansys. “We look forward to Xilinx acceleration helping us in our
mission to support innovators in engineering what’s ahead.”
TigerGraph, provider of a leading graph analytics platform, is
using multiple Alveo U55C cards to cluster and accelerate the two
most prolific algorithms that drive graph-based recommendation and
clustering engines. Graph databases are a disruptive platform for
data scientists. Graphs take data from silos and bring focus to the
relationships between data. The next frontier for graph is finding
those answers in real time. Alveo U55C accelerates the query times
and predictions for recommendation engines from minutes down to
milliseconds. By utilizing multiple U55C cards to scale up
analytics, the superior computational power and memory bandwidth
accelerates graph query speeds up to 45X faster compared to
CPU-based clusters. The quality of scores also increases by up to
35%, resulting in greater confidence dramatically lowering false
positives to low single digits.
Product availability and easy evaluations
The Alveo U55C card is currently available on Xilinx.com and
through Xilinx authorized distributors. It’s also available for
easy evaluation via public cloud-based FPGA-as-a-Service providers,
as well as select colocation data centers for private previews.
Clustering is available now for private previews, with general
availability expected in the second quarter of next year.
Xilinx is showcasing the Alveo U55C accelerator card, along with
partner solutions, at the SC21 conference taking place this week.
Register at SC21 to visit the Xilinx virtual booth.
Follow Xilinx on Twitter, LinkedIn and Facebook.
About Xilinx
Xilinx, Inc. develops highly flexible and adaptive processing
platforms that enable rapid innovation across a variety of
technologies - from the cloud, to the edge, to the endpoint. Xilinx
is the inventor of the FPGA and Adaptive SoCs (including our
Adaptive Compute Acceleration Platform, or ACAP), designed to
deliver the most dynamic computing technology in the industry. We
collaborate with our customers to create scalable, differentiated
and intelligent solutions that enable the adaptable, intelligent
and connected world of the future. For more information, visit
xilinx.com.
Source: Xilinx Newsroom Category: Product Announcements
© Copyright 2021 Xilinx, Inc. Xilinx, the Xilinx logo, Alveo,
Vitis and other designated brands included herein are trademarks of
Xilinx in the United States and other countries. All other
trademarks are the property of their respective owners.
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