Argonne National Laboratory Deploys Cerebras CS-1 System

November 20, 2019

LOS ALTOS, Calif., and LEMONT, Ill., Nov. 20, 2019 — Cerebras Systems, a company dedicated to accelerating artificial intelligence (AI) compute, and the Argonne National Laboratory, a multidisciplinary science and engineering research center, today announced that Argonne is the first national laboratory to deploy the Cerebras CS-1 system. Unveiled today at SC19, the CS-1 is the fastest AI computer system in existence and integrates the pioneering Wafer Scale Engine, the largest and fastest AI processor ever built.

Image courtesy of Argonne National Laboratory.

By removing compute as the bottleneck in AI, the CS-1 enables AI practitioners to answer more questions and explore more ideas in less time. The CS-1 delivers record-breaking performance and scale to AI compute, and its deployment across national laboratories enables the largest supercomputer sites in the world to achieve 100– to 1,000-fold improvement over existing AI accelerators. By pairing supercompute power with the CS-1’s AI processing capabilities, Argonne can now accelerate research and development of deep learning models to solve science problems not achievable with existing systems.

“We’ve partnered with Cerebras for more than two years and are extremely pleased to have brought the new AI system to Argonne,” said Rick Stevens, Argonne Associate Laboratory Director for Computing, Environment and Life Sciences. ​“By deploying the CS-1, we have dramatically shrunk training time across neural networks, allowing our researchers to be vastly more productive to make strong advances across deep learning research in cancer, traumatic brain injury and many other areas important to society today and in the years to come.”

AI touches our lives in subtle and numerous ways every day. From recommending music or clothes, protecting your credit card from fraud, or helping you navigate with maps and directions, AI is running quietly in the background. In science and health, AI is being used to help researchers better understand a broad range of topics ranging from molecular dynamics to cosmology, and help physicians better diagnose and treat disease.

A subset of AI called deep learning allows computer networks to learn from large amounts of unstructured data. However, deep learning models require massive amounts of computing power and are pushing the limits of what current computer systems can handle — until now, with the introduction of Cerebras CS-1.

“We are proud to collaborate with Argonne National Laboratory and leverage the massive computational power of the CS-1 to help solve many of the world’s scientific problems,” said Andrew Feldman, Founder and Chief Executive Officer, Cerebras. ​At Argonne, the Cerebras CS1 is being used to better understand everything from cancer drug interactions to the properties of black holes. To see the CS-1 used by leading researchers to solve problems in healthcare and in basic sciences is enormously rewarding — it is the reason we invent technology.”

As a major driver of AI for Science, Argonne deployed the CS-1 to enhance scientific AI models. Its first application area is cancer drug response prediction, a project that is part of a DOE and National Cancer Institute collaboration aimed at employing advanced computing and AI to solve grand challenge problems in cancer research. The addition of the Cerebras CS1 supports efforts to extend Argonne’s major initiatives in advanced computing, which also leverages the AI capabilities of the Aurora exascale system expected in 2021.

Argonne’s deployment of the CS-1 is the first part of a multi-laboratory partnership between the DOE and Cerebras Systems. Cerebras has also partnered with DOE’s Lawrence Livermore National Laboratory to accelerate its AI initiatives and further enhance its simulation strengths with the machine learning capabilities of the CS-1.

At the Department of Energy, we believe public-private partnerships are an essential part of accelerating AI research in the United States,” said Dr. Dimitri Kusnezov, DOE’s Deputy Under Secretary for Artificial Intelligence & Technology. ​We look forward to a long and productive partnership with Cerebras that will help define the next generation of AI technologies and transform the landscape of DOE’s operations, business and missions.”

The Cerebras CS-1 contains the Wafer Scale Engine (WSE), the industry’s only trillion transistor processor. The WSE is the largest chip ever made at 46,225 square millimeters in area, it is 56.7 times larger than the largest graphics processing unit. It contains 78 times more AI optimized compute cores, 3,000 times more high speed, on-chip memory, 10,000 times more memory bandwidth, and 33,000 times more communication bandwidth. In AI compute, large chips process information more quickly, producing answers in less time.

For more information on the CS-1 system, please visit www​.cere​bras​.net.

About Cerebras Systems

Cerebras Systems is a team of pioneering computer architects, computer scientists, deep learning researchers, and engineers of all types. We have come together to build a new class of computer to accelerate artificial intelligence work by three orders of magnitude beyond the current state of the art. The CS-1 is the fastest AI computer in existence. It contains a collection of industry firsts, including the Cerebras Wafer Scale Engine (WSE). The WSE is the largest chip ever built. It contains 1.2 trillion transistors and covers more than 46,225 square millimeters of silicon. The largest graphics processor on the market has 21.1 billion transistors and covers 815 square millimeters. In artificial intelligence work, large chips process information more quickly producing answers in less time. As a result, neural networks that in the past took months to train, can now train in minutes on the Cerebras WSE.

About Argonne National Laboratory 

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.

About the U.S. Department of Energy’s Office of Science

The U.S. Department of Energy’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit https://​ener​gy​.gov/​s​c​ience.


Source: Argonne National Laboratory 

Subscribe to HPCwire's Weekly Update!

Be the most informed person in the room! Stay ahead of the tech trends with industy updates delivered to you every week!

OpenHPC Progress Report – v2.0, More Recipes, Cloud and Arm Support, Says Schulz

October 26, 2020

Launched in late 2015 and transitioned to a Linux Foundation Project in 2016, OpenHPC has marched quietly but steadily forward. Its goal “to provide a reference collection of open-source HPC software components and bes Read more…

By John Russell

NASA Uses Supercomputing to Measure Carbon in the World’s Trees

October 22, 2020

Trees constitute one of the world’s most important carbon sinks, pulling enormous amounts of carbon dioxide from the atmosphere and storing the carbon in their trunks and the surrounding soil. Measuring this carbon sto Read more…

By Oliver Peckham

Nvidia Dominates (Again) Latest MLPerf Inference Results

October 22, 2020

The two-year-old AI benchmarking group MLPerf.org released its second set of inferencing results yesterday and again, as in the most recent MLPerf training results (July 2020), it was almost entirely The Nvidia Show, a p Read more…

By John Russell

With Optane Gaining, Intel Exits NAND Flash

October 21, 2020

In a sign that its 3D XPoint memory technology is gaining traction, Intel Corp. is departing the NAND flash memory and storage market with the sale of its manufacturing base in China to SK Hynix of South Korea. The $9 Read more…

By George Leopold

HPE, AMD and EuroHPC Partner for Pre-Exascale LUMI Supercomputer

October 21, 2020

Not even a week after Nvidia announced that it would be providing hardware for the first four of the eight planned EuroHPC systems, HPE and AMD are announcing another major EuroHPC design win. Finnish supercomputing cent Read more…

By Oliver Peckham

AWS Solution Channel

Live Webinar: AWS & Intel Research Webinar Series – Fast scaling research workloads on the cloud

Date: 27 Oct – 5 Nov

Join us for the AWS and Intel Research Webinar series.

You will learn how we help researchers process complex workloads, quickly analyze massive data pipelines, store petabytes of data, and advance research using transformative technologies. Read more…

Intel® HPC + AI Pavilion

Berlin Institute of Health: Putting HPC to Work for the World

Researchers from the Center for Digital Health at the Berlin Institute of Health (BIH) are using science to understand the pathophysiology of COVID-19, which can help to inform the development of targeted treatments. Read more…

HPE to Build Australia’s Most Powerful Supercomputer for Pawsey

October 20, 2020

The Pawsey Supercomputing Centre in Perth, Western Australia, has had a busy year. Pawsey typically spends much of its time looking to the stars, working with a variety of observatories and astronomers – but when COVID Read more…

By Oliver Peckham

OpenHPC Progress Report – v2.0, More Recipes, Cloud and Arm Support, Says Schulz

October 26, 2020

Launched in late 2015 and transitioned to a Linux Foundation Project in 2016, OpenHPC has marched quietly but steadily forward. Its goal “to provide a referen Read more…

By John Russell

Nvidia Dominates (Again) Latest MLPerf Inference Results

October 22, 2020

The two-year-old AI benchmarking group MLPerf.org released its second set of inferencing results yesterday and again, as in the most recent MLPerf training resu Read more…

By John Russell

HPE, AMD and EuroHPC Partner for Pre-Exascale LUMI Supercomputer

October 21, 2020

Not even a week after Nvidia announced that it would be providing hardware for the first four of the eight planned EuroHPC systems, HPE and AMD are announcing a Read more…

By Oliver Peckham

HPE to Build Australia’s Most Powerful Supercomputer for Pawsey

October 20, 2020

The Pawsey Supercomputing Centre in Perth, Western Australia, has had a busy year. Pawsey typically spends much of its time looking to the stars, working with a Read more…

By Oliver Peckham

DDN-Tintri Showcases Technology Integration with Two New Products

October 20, 2020

DDN, a long-time leader in HPC storage, announced two new products today and provided more detail around its strategy for integrating DDN HPC technologies with Read more…

By John Russell

Is the Nvidia A100 GPU Performance Worth a Hardware Upgrade?

October 16, 2020

Over the last decade, accelerators have seen an increasing rate of adoption in high-performance computing (HPC) platforms, and in the June 2020 Top500 list, eig Read more…

By Hartwig Anzt, Ahmad Abdelfattah and Jack Dongarra

Nvidia and EuroHPC Team for Four Supercomputers, Including Massive ‘Leonardo’ System

October 15, 2020

The EuroHPC Joint Undertaking (JU) serves as Europe’s concerted supercomputing play, currently comprising 32 member states and billions of euros in funding. I Read more…

By Oliver Peckham

ROI: Is HPC Worth It? What Can We Actually Measure?

October 15, 2020

HPC enables innovation and discovery. We all seem to agree on that. Is there a good way to quantify how much that’s worth? Thanks to a sponsored white pape Read more…

By Addison Snell, Intersect360 Research

Supercomputer-Powered Research Uncovers Signs of ‘Bradykinin Storm’ That May Explain COVID-19 Symptoms

July 28, 2020

Doctors and medical researchers have struggled to pinpoint – let alone explain – the deluge of symptoms induced by COVID-19 infections in patients, and what Read more…

By Oliver Peckham

Nvidia Said to Be Close on Arm Deal

August 3, 2020

GPU leader Nvidia Corp. is in talks to buy U.K. chip designer Arm from parent company Softbank, according to several reports over the weekend. If consummated Read more…

By George Leopold

Intel’s 7nm Slip Raises Questions About Ponte Vecchio GPU, Aurora Supercomputer

July 30, 2020

During its second-quarter earnings call, Intel announced a one-year delay of its 7nm process technology, which it says it will create an approximate six-month shift for its CPU product timing relative to prior expectations. The primary issue is a defect mode in the 7nm process that resulted in yield degradation... Read more…

By Tiffany Trader

Google Hires Longtime Intel Exec Bill Magro to Lead HPC Strategy

September 18, 2020

In a sign of the times, another prominent HPCer has made a move to a hyperscaler. Longtime Intel executive Bill Magro joined Google as chief technologist for hi Read more…

By Tiffany Trader

HPE Keeps Cray Brand Promise, Reveals HPE Cray Supercomputing Line

August 4, 2020

The HPC community, ever-affectionate toward Cray and its eponymous founder, can breathe a (virtual) sigh of relief. The Cray brand will live on, encompassing th Read more…

By Tiffany Trader

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

By Doug Black

Aurora’s Troubles Move Frontier into Pole Exascale Position

October 1, 2020

Intel’s 7nm node delay has raised questions about the status of the Aurora supercomputer that was scheduled to be stood up at Argonne National Laboratory next year. Aurora was in the running to be the United States’ first exascale supercomputer although it was on a contemporaneous timeline with... Read more…

By Tiffany Trader

Is the Nvidia A100 GPU Performance Worth a Hardware Upgrade?

October 16, 2020

Over the last decade, accelerators have seen an increasing rate of adoption in high-performance computing (HPC) platforms, and in the June 2020 Top500 list, eig Read more…

By Hartwig Anzt, Ahmad Abdelfattah and Jack Dongarra

Leading Solution Providers

Contributors

European Commission Declares €8 Billion Investment in Supercomputing

September 18, 2020

Just under two years ago, the European Commission formalized the EuroHPC Joint Undertaking (JU): a concerted HPC effort (comprising 32 participating states at c Read more…

By Oliver Peckham

Nvidia and EuroHPC Team for Four Supercomputers, Including Massive ‘Leonardo’ System

October 15, 2020

The EuroHPC Joint Undertaking (JU) serves as Europe’s concerted supercomputing play, currently comprising 32 member states and billions of euros in funding. I Read more…

By Oliver Peckham

Google Cloud Debuts 16-GPU Ampere A100 Instances

July 7, 2020

On the heels of the Nvidia’s Ampere A100 GPU launch in May, Google Cloud is announcing alpha availability of the A100 “Accelerator Optimized” VM A2 instance family on Google Compute Engine. The instances are powered by the HGX A100 16-GPU platform, which combines two HGX A100 8-GPU baseboards using... Read more…

By Tiffany Trader

Microsoft Azure Adds A100 GPU Instances for ‘Supercomputer-Class AI’ in the Cloud

August 19, 2020

Microsoft Azure continues to infuse its cloud platform with HPC- and AI-directed technologies. Today the cloud services purveyor announced a new virtual machine Read more…

By Tiffany Trader

Oracle Cloud Infrastructure Powers Fugaku’s Storage, Scores IO500 Win

August 28, 2020

In June, RIKEN shook the supercomputing world with its Arm-based, Fujitsu-built juggernaut: Fugaku. The system, which weighs in at 415.5 Linpack petaflops, topp Read more…

By Oliver Peckham

DOD Orders Two AI-Focused Supercomputers from Liqid

August 24, 2020

The U.S. Department of Defense is making a big investment in data analytics and AI computing with the procurement of two HPC systems that will provide the High Read more…

By Tiffany Trader

HPE, AMD and EuroHPC Partner for Pre-Exascale LUMI Supercomputer

October 21, 2020

Not even a week after Nvidia announced that it would be providing hardware for the first four of the eight planned EuroHPC systems, HPE and AMD are announcing a Read more…

By Oliver Peckham

Oracle Cloud Deepens HPC Embrace with Launch of A100 Instances, Plans for Arm, More 

September 22, 2020

Oracle Cloud Infrastructure (OCI) continued its steady ramp-up of HPC capabilities today with a flurry of announcements. Topping the list is general availabilit Read more…

By John Russell

  • arrow
  • Click Here for More Headlines
  • arrow
Do NOT follow this link or you will be banned from the site!
Share This