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Lenovo and Intel provide advanced supercomputing infrastructure to Harvard University

November 21, 2019 by Mai Tao Leave a Comment

Lenovo and Intel are providing critical components for Harvard University’s first liquid-cooled supercomputer, while Lenovo is creating a ‘Visionary Council’ to drive broad adoption of exascale technology

The new supercomputing infrastructure will enable discoveries in earthquake forecasting, predictions on the spread of disease, and star formation.

Harvard University Faculty of Arts and Sciences Research Computing’s newest supercomputing cluster performs three to four times faster with the upgrade.

Lenovo’s ThinkSystem SD650 NeXtScale servers will be upgrades with Neptune liquid cooling technology and second generation Intel Xeon Platinum 8268 processors.

Lenovo also said it is creating an “Exascale Visionary Council” whose mission is to enable broad adoption of exascale-focused technologies for organizations of all sizes.

From Exascale to Everyscale

Expanding the reach of the most advanced high performance computing (HPC) technologies and capabilities by bringing them “From Exascale to Everyscale” is a critical part of Lenovo’s commitment to create a more inclusive, insightful and sustainable digital society – a world with “Smarter Technology for All”, as Lenovo describes it.

For Harvard University’s Faculty of Arts and Sciences Research Computing unit (FASRC), “smarter” means energy-saving technology that cools servers without warming the planet.

FASRC was established in 2007 with the founding principle of facilitating the advancement of complex research by providing leading edge computing services.

FASRC recently announced its largest HPC cluster, Cannon, named after the legendary American astronomer Annie Jump Cannon.

The FASRC Cannon cluster is a large-scale HPC system supporting Science, Engineering, Social Science, Public Health, and Education modeling and simulation for more than 600 lab groups and over 4,500 Harvard researchers.

Faster and more efficient data processing is critical to the thousands of researchers working to improve earthquake aftershock forecasting using machine learning, model black holes using event horizon telescope data, map invisible ocean pollutants, identify new methods for flu tracking and prediction, and develop a new statistical analysis technique to better understand the details of star formation.

Leveraging Lenovo and Intel’s long-standing collaboration to advance HPC and artificial intelligence (AI) in the data center, FASRC sought to refresh its previous cluster, Odyssey.

FASRC wanted to keep the processor count high and increase the performance of each individual processor, knowing that 25 percent of all calculations are run on a single core. Liquid cooling is paramount to support the increased levels of performance today, and the extra capacity needed to scale in the future.

Cannon, comprised of more than 30,000 second generation Intel Xeon Scalable processor cores, includes Lenovo’s Neptune liquid cooling technology, which uses the superior heat conducting efficiency of water versus air.

Now, critical server components can operate at lower temperatures allowing for greater performance and energy savings.

The dramatically enhanced performance enabled by the new system reflects Lenovo’s focus of bringing exascale level technologies to a broad universe of users everywhere – what Lenovo has coined “From Exascale to Everyscale.”

Though the Cannon storage system is spread across multiple locations, the primary compute is housed in the Massachusetts Green High Performance Computing Center, a LEED Platinum-certified data center in Holyoke, Massachussets.

The Cannon cluster includes 670 Lenovo ThinkSystem SD650 servers featuring Lenovo Neptune direct-to-node water-cooling, and Intel Xeon Platinum 8268 processors consisting of 24 cores per socket and 48 cores per node.

Each Cannon node is now several times faster than any previous cluster node, with jobs like geophysics models of the Earth performing three to four times faster than the previous system.

In the first four weeks of production operation, Cannon completed over 4.2 million jobs utilising over 21 million CPU hours.

Scott Yockel, director of research computing at Harvard University’s Faculty of Arts and Sciences, says: “Science is all about iteration and repeatability.

“But iteration is a luxury that is not always possible in the field of university research because you are often working against the clock to meet a deadline.

“With the increased compute performance and faster processing of the Cannon cluster, our researchers now have the opportunity to try something in their data experiment, fail, and try again. Allowing failure to be an option makes our researchers more competitive.”

The additional cores and enhanced performance of the system are also attracting researchers from additional departments at the university, such as Psychology and the School of Public Health, to more frequently leverage its machine learning capabilities to speed and improve their discoveries.

Lenovo launches Exascale Visionary Council

Intel, Lenovo and some of the world’s biggest names in HPC are creating an exascale visionary council dedicated to bringing the advantages of exascale technology to users of all sizes, far beyond today’s top tier government and academic installations.

As part of its work to drive the broader adoption of exascale technology for a greater HPC community, the council, named Project Everyscale, will address the range of component technologies being developed to make exascale computing possible.

Areas of focus will touch all aspects of the design of HPC systems, including everything from alternative cooling technologies to efficiency, density, racks, storage, the convergence of traditional HPC and AI and more.

The visionaries on the council will bring to bear their insights as customers to set the direction for exascale innovation that everyone can use, working together to bring to life a cohesive picture of the future for the industry.

FASRC is a founding member of Project Everyscale along with:

  • Australia’s National Computational Infrastructure;
  • Barcelona Supercomputing Center (Spain);
  • the Simons Foundation’s Flatiron Institute (New York, NY);
  • Inter University Accelerator Centre (New Delhi, India);
  • Leibniz Supercomputing Centre of the Bavarian Academy of Sciences and Humanities (aka “LRZ” in Munich, Germany);
  • Potsdam Institute for Climate Impact Research (Potsdam, Germany);
  • Rutgers University (New Brunswick, NJ);
  • Texas A&M University (College Station, TX);
  • Tsinghua University (Beijing, China);
  • University of Birmingham (Birmingham, UK);
  • University of Chicago’s Research Computing Center (Chicago, IL); and
  • University of Toronto’s SciNet supercomputing centre (Toronto, Canada).

Member organizations are leading the way on groundbreaking research into some of the world’s greatest challenges in fields such as computational chemistry, geospatial analysis, astronomy, climate change, healthcare, and meteorology.

Scott Tease, general manager for HPC and AI, Lenovo Data Center Group, says: “Working with Intel we are now bringing together some of the biggest names and brightest minds of HPC to develop an innovation roadmap that will push the design and dissemination of exascale technologies to users of all sizes.”

Trish Damkroger, vice president and general manager of the Extreme Computing Organization at Intel, says: “Intel is proud to be an integral part of this important endeavor in supercomputing along with Lenovo and other leaders in HPC.

“With Project Everyscale, our goal is to democratize exascale technologies and bring leading Xeon scalable processors, accelerators, storage, fabrics, software and more to HPC customers of every scale or any workload.”

The Council is slated to kick-off its work early in 2020.

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Filed Under: Computing, Features Tagged With: cannon, center, cluster, computing, council, data, everyscale, exascale, fasrc, faster, harvard, hpc, intel, lenovo, performance, researchers, supercomputing, system, technologies, technology, university

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