Cray ARM-based ‘Ookami’ to Serve as Testbed for Computational Studies at Stony Brook

August 16, 2019

STONY BROOK, N.Y., August 16, 2019 – A $5 million grant from the National Science Foundation (NSF) to the Institute of Advanced Computational Science (IACS) at Stony Brook University will enable researchers nationwide to test future supercomputing technologies and advance computational and data-driven research on the world’s most pressing challenges.

Serving as a testbed for advanced computer technologies, the Ookami system is expected to signal a new generation of high-speed U.S. supercomputers. Using a Cray ARM-based system, Ookami will deliver remarkably high performance for scientific applications, in part due to its blazing-fast memory. Robert J. Harrison, PhD, professor of applied mathematics and statistics and director of IACS, expects that these advanced technologies will enable researchers to more quickly and effectively conduct computational investigations. The project is led by IACS faculty in partnership with co-PI Matt Jones, PhD at the State University of New York at Buffalo, whose team will lead the capture of detailed operational metrics and provision of extensive analytical capabilities. At Stony Brook, co-PI Barbara Chapman, PhD, Department of Computer Science, studies programming models for parallel computing and scalable machine learning; and co-PI Alan Calder, PhD, Department of Physics and Astronomy, whose research in the field of nuclear astrophysics demands massive calculations to explore bright stellar explosions known as Type Ia supernovae.

Il Memming Park, PhD, assistant professor of Neurobiology and Behavior, meets with graduate students at the Institute for Advanced Computational Science to develop computationally efficient optimization techniques for modeling brain function. Through advanced computation, Park’s research is redefining the way that scientists analyze the dynamics of the brain. By analyzing large-scale physiological neural data collected from neural systems, Park examines how information is encoded as spatiotemporal patterns of neural activity, as well as how information is processed to perform specific computations within and across brain areas. Image courtesy of Stony Brook University.

“Research in computational science has increasingly defined the next major frontiers for discovery and innovation. This grant gives us the opportunity to imagine, refine, and develop a new generation of supercomputing technology. It is also a testament to the quality of our researchers — colleagues who stand truly at the cutting-edges of advanced computational science,” said Michael A. Bernstein, Interim President of Stony Brook University.

“Supercomputing only moves forward, and by implementing the Ookami computer system within the IACS, our computational resources for research jump to yet another higher level,” said Harrison. “This project will help researchers to better understand new computing technologies, and thus advances their research and international competitiveness.”

The $5 million grant originates from the NSF’s Office of Advanced Cyberinfrastructure (OAC) national awards, a $22.7 million fund in support of organizations that act as service providers for innovative high-performance computing. The OAC investment to the IACS was motivated by a drive to explore new and future computing models and paradigms, particularly in the areas of capacity systems and innovative prototypes or testbeds that deploy novel technologies.

“The capabilities and services these awards will provide will enable the research community to explore new computing models and paradigms,” said Manish Parashar, office director for the OAC. “These awards complement NSF’s long-standing investment in advanced computational infrastructure, providing much-needed support for the full range of innovative computational- and data-intensive research being conducted across all of science and engineering.”

Since 2012, the IACS has led efforts to communicate science, apply high-performance computing to bridge disciplines and enable data-driven research. The institute’s initial funding stemmed from a $10 million anonymous donation, plus matching funds of equal value from the Simons Foundation. For more information about the IACS at Stony Brook University, visit iacs.stonybrook.edu.

About Stony Brook University

Stony Brook University, widely regarded as a SUNY flagship, is going far beyond the expectations of today’s public universities. With more than 26,000 students, 2,700 faculty members, nearly 200,000 alumni, an academic medical center, and 18 NCAA Division I athletic programs, it is one of only four University Center campuses in the State University of New York (SUNY) system. The University embraces its mission to provide comprehensive undergraduate, graduate, and professional education of the highest quality, and has been ranked among the top 35 public universities in the nation by U.S. News & World Report. Fostering a commitment to academic research and intellectual endeavors, Stony Brook’s membership in the Association of American Universities (AAU) places it among the top 62 research institutions in North America. The University’s distinguished faculty have earned esteemed awards such as the Nobel Prize, Pulitzer Prize, Indianapolis Prize for animal conservation, Abel Prize and the inaugural Breakthrough Prize in Mathematics. Part of the management team of Brookhaven National Laboratory of the U.S. Department of Energy, Stony Brook is one of only eight universities that has a role in running a national laboratory. Providing economic growth for neighboring communities and the wider geographic region, the University totals an impressive $7.23 billion in increased economic output on Long Island. Follow us on Facebook (https://www.facebook.com/stonybrooku/) and Twitter (@stonybrooku).


Source: Stony Brook University 

Subscribe to HPCwire's Weekly Update!

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

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion XL — were added to the benchmark suite as MLPerf continues Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing power it brings to artificial intelligence.  Nvidia's DGX Read more…

Call for Participation in Workshop on Potential NSF CISE Quantum Initiative

March 26, 2024

Editor’s Note: Next month there will be a workshop to discuss what a quantum initiative led by NSF’s Computer, Information Science and Engineering (CISE) directorate could entail. The details are posted below in a Ca Read more…

Waseda U. Researchers Reports New Quantum Algorithm for Speeding Optimization

March 25, 2024

Optimization problems cover a wide range of applications and are often cited as good candidates for quantum computing. However, the execution time for constrained combinatorial optimization applications on quantum device Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at the network layer threatens to make bigger and brawnier pro Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HBM3E memory as well as the the ability to train 1 trillion pa Read more…

MLPerf Inference 4.0 Results Showcase GenAI; Nvidia Still Dominates

March 28, 2024

There were no startling surprises in the latest MLPerf Inference benchmark (4.0) results released yesterday. Two new workloads — Llama 2 and Stable Diffusion Read more…

Q&A with Nvidia’s Chief of DGX Systems on the DGX-GB200 Rack-scale System

March 27, 2024

Pictures of Nvidia's new flagship mega-server, the DGX GB200, on the GTC show floor got favorable reactions on social media for the sheer amount of computing po Read more…

NVLink: Faster Interconnects and Switches to Help Relieve Data Bottlenecks

March 25, 2024

Nvidia’s new Blackwell architecture may have stolen the show this week at the GPU Technology Conference in San Jose, California. But an emerging bottleneck at Read more…

Who is David Blackwell?

March 22, 2024

During GTC24, co-founder and president of NVIDIA Jensen Huang unveiled the Blackwell GPU. This GPU itself is heavily optimized for AI work, boasting 192GB of HB Read more…

Nvidia Looks to Accelerate GenAI Adoption with NIM

March 19, 2024

Today at the GPU Technology Conference, Nvidia launched a new offering aimed at helping customers quickly deploy their generative AI applications in a secure, s Read more…

The Generative AI Future Is Now, Nvidia’s Huang Says

March 19, 2024

We are in the early days of a transformative shift in how business gets done thanks to the advent of generative AI, according to Nvidia CEO and cofounder Jensen Read more…

Nvidia’s New Blackwell GPU Can Train AI Models with Trillions of Parameters

March 18, 2024

Nvidia's latest and fastest GPU, codenamed Blackwell, is here and will underpin the company's AI plans this year. The chip offers performance improvements from Read more…

Nvidia Showcases Quantum Cloud, Expanding Quantum Portfolio at GTC24

March 18, 2024

Nvidia’s barrage of quantum news at GTC24 this week includes new products, signature collaborations, and a new Nvidia Quantum Cloud for quantum developers. Wh Read more…

Alibaba Shuts Down its Quantum Computing Effort

November 30, 2023

In case you missed it, China’s e-commerce giant Alibaba has shut down its quantum computing research effort. It’s not entirely clear what drove the change. Read more…

Nvidia H100: Are 550,000 GPUs Enough for This Year?

August 17, 2023

The GPU Squeeze continues to place a premium on Nvidia H100 GPUs. In a recent Financial Times article, Nvidia reports that it expects to ship 550,000 of its lat Read more…

Shutterstock 1285747942

AMD’s Horsepower-packed MI300X GPU Beats Nvidia’s Upcoming H200

December 7, 2023

AMD and Nvidia are locked in an AI performance battle – much like the gaming GPU performance clash the companies have waged for decades. AMD has claimed it Read more…

DoD Takes a Long View of Quantum Computing

December 19, 2023

Given the large sums tied to expensive weapon systems – think $100-million-plus per F-35 fighter – it’s easy to forget the U.S. Department of Defense is a Read more…

Synopsys Eats Ansys: Does HPC Get Indigestion?

February 8, 2024

Recently, it was announced that Synopsys is buying HPC tool developer Ansys. Started in Pittsburgh, Pa., in 1970 as Swanson Analysis Systems, Inc. (SASI) by John Swanson (and eventually renamed), Ansys serves the CAE (Computer Aided Engineering)/multiphysics engineering simulation market. Read more…

Choosing the Right GPU for LLM Inference and Training

December 11, 2023

Accelerating the training and inference processes of deep learning models is crucial for unleashing their true potential and NVIDIA GPUs have emerged as a game- Read more…

Intel’s Server and PC Chip Development Will Blur After 2025

January 15, 2024

Intel's dealing with much more than chip rivals breathing down its neck; it is simultaneously integrating a bevy of new technologies such as chiplets, artificia Read more…

Baidu Exits Quantum, Closely Following Alibaba’s Earlier Move

January 5, 2024

Reuters reported this week that Baidu, China’s giant e-commerce and services provider, is exiting the quantum computing development arena. Reuters reported � Read more…

Leading Solution Providers

Contributors

Comparing NVIDIA A100 and NVIDIA L40S: Which GPU is Ideal for AI and Graphics-Intensive Workloads?

October 30, 2023

With long lead times for the NVIDIA H100 and A100 GPUs, many organizations are looking at the new NVIDIA L40S GPU, which it’s a new GPU optimized for AI and g Read more…

Shutterstock 1179408610

Google Addresses the Mysteries of Its Hypercomputer 

December 28, 2023

When Google launched its Hypercomputer earlier this month (December 2023), the first reaction was, "Say what?" It turns out that the Hypercomputer is Google's t Read more…

AMD MI3000A

How AMD May Get Across the CUDA Moat

October 5, 2023

When discussing GenAI, the term "GPU" almost always enters the conversation and the topic often moves toward performance and access. Interestingly, the word "GPU" is assumed to mean "Nvidia" products. (As an aside, the popular Nvidia hardware used in GenAI are not technically... Read more…

Shutterstock 1606064203

Meta’s Zuckerberg Puts Its AI Future in the Hands of 600,000 GPUs

January 25, 2024

In under two minutes, Meta's CEO, Mark Zuckerberg, laid out the company's AI plans, which included a plan to build an artificial intelligence system with the eq Read more…

Google Introduces ‘Hypercomputer’ to Its AI Infrastructure

December 11, 2023

Google ran out of monikers to describe its new AI system released on December 7. Supercomputer perhaps wasn't an apt description, so it settled on Hypercomputer Read more…

China Is All In on a RISC-V Future

January 8, 2024

The state of RISC-V in China was discussed in a recent report released by the Jamestown Foundation, a Washington, D.C.-based think tank. The report, entitled "E Read more…

Intel Won’t Have a Xeon Max Chip with New Emerald Rapids CPU

December 14, 2023

As expected, Intel officially announced its 5th generation Xeon server chips codenamed Emerald Rapids at an event in New York City, where the focus was really o Read more…

IBM Quantum Summit: Two New QPUs, Upgraded Qiskit, 10-year Roadmap and More

December 4, 2023

IBM kicks off its annual Quantum Summit today and will announce a broad range of advances including its much-anticipated 1121-qubit Condor QPU, a smaller 133-qu Read more…

  • arrow
  • Click Here for More Headlines
  • arrow
HPCwire