IBM and NVIDIA Launch Supercomputer Centers of Excellence With ORNL and LLNL

July 13, 2015

FRANKFURT, Germany, July 13 — IBM along with NVIDIA and two U.S. Department of Energy National Laboratories today announced a pair of Centers of Excellence for supercomputing – one at the Lawrence Livermore National Laboratory and the other at the Oak Ridge National Laboratory. The collaborations are in support of IBM’s supercomputing contract with the U.S. Department of Energy. They will enable advanced, large-scale scientific and engineering applications both for supporting DOE missions, and for the Summit and Sierra supercomputer systems to be delivered respectively to Oak Ridge and Lawrence Livermore in 2017 and to be operational in 2018.

As the new supercomputers are being readied for installation, the Centers of Excellence will prepare the way for their optimum use in scientific research in such critical areas as energy, climate research, cosmology, biophysics, astrophysics and medicine, as well as in national nuclear security and other national security interests.

In an era of increasing global competition in high performance computing, the Centers are designed to enable the U.S. Department of Energy’s National Laboratories to sustain innovation leadership in science and technology while also driving down energy consumption and costs of computing.

At each of the Centers, teams of technologists will gain crucial application perspective that will complement the hardware and software development of Summit and Sierra and will enable application readiness at the time of installation. Early application code innovation, executed in tandem with the system development, allows important two-way feedback between the system developers and the application writers. This will ensure that the ongoing system design will correctly and effectively support necessary user applications.

Incorporating IBM’s advanced POWER processors with next-generation NVIDIA Tesla GPU accelerators and the NVIDIA NVLink high-speed processor interconnect, Summit and Sierra will use a highly efficient, high-performance data-centric computing approach that minimizes data in motion, thereby helping to optimize problem solving and time to solution while also greatly reducing overall energy consumption.

“Application code innovation is a vital component of making sure our facilities are prepared to take advantage of the performance of the new supercomputers,” said Michel McCoy, Program Director for Advanced Simulation and Computing at the Lawrence Livermore National Laboratory. “By partnering with IBM and NVIDIA, the Centers of Excellence bring together the people who know the science, the people who know the code, and the people who know the machines – ensuring we are innovating across the board so that Sierra and Summit will be primed to achieve their missions for national security and scientific advancement as soon as they’re delivered.”

In addition to their data-centric design, the systems follow an OpenPOWER design concept that uses IBM’s open POWER architecture, as well as OpenPOWER Foundation member technology, including NVIDIA GPU and NVLink technologies, and Mellanox’s EDR 100Gb/s InfiniBand system interconnect.. Applications developed at the Centers of Excellence will take full advantage of current and future innovations introduced by the growing OpenPOWER community of developers led in part by over 145 OpenPOWER Foundation members worldwide. Code innovations realized at the Centers will also benefit general purpose OpenPOWER-based commercial systems to be introduced by IBM and others.

A Collaborative Approach to Application Code Innovation

The two Centers of Excellence collaborations are uniquely set up to support each of the Oak Ridge and Lawrence Livermore labs’ specific missions. With each, key computational scientists from IBM and NVIDIA work closely with the applications scientists from the labs to develop tools and technologies that will optimize codes and achieve the best performance on Summit, Sierra and other general use systems that follow the OpenPOWER design concept. Together, the teams are developing new ways to think about the programming models, algorithms, applications and computer performance.

“The work accomplished through the Centers of Excellence will be a milestone in our collaboration with the U.S. Department of Energy,” said Dave Turek, IBM Vice President of HPC Market Engagement. “It is about more than just delivering our new data-centric OpenPOWER-based hardware systems. Along with NVIDIA, our scientists are ensuring Oak Ridge andLawrence Livermore are able to get the most out of these revolutionary supercomputers to reach the next level of scientific discovery. In addition, our expectation is that many of the codes that are worked on will find benefit in other sectors of the U.S. economy.”

The work of the Centers of Excellence is managed by a technical steering group, which includes participants from IBM, NVIDIA and from Lawrence Livermore, Oak Ridge and Argonne National Laboratories. This collaborative approach is designed to ensure that critical applications are able to run on all of the U.S. Department of Energy’s supercomputers.

Shaping Future Scientific Discovery

Work is already underway to update and develop applications that have the potential to shape scientific discovery for years to come.  Center of Excellence scientists will support development of at least 13 applications for Oak Ridge’s Summit supercomputer. These applications were recently selected through the Center for Accelerated Application Readiness (CAAR) program. Summit and its applications will support the Office of Science in its science and energy mission, advancing knowledge in critical areas of government, academia and industry. The modeling and simulation applications span the sciences, from cosmology to biophysics to astrophysics. One of Oak Ridge’s applications will focus on advancing Earth system models for climate research while another will map the Earth’s interior using big data for seismology research.

At Lawrence Livermore’s Center of Excellence, IBM and NVIDIA experts will provide expert knowledge and understanding of the accelerated architecture to help national security applications evolve rapidly to support the safety, reliability and security of the nuclear stockpile. These experts will also support efforts in a broad range of computational science areas of importance to national security, for instance bio-security, energy security and global warming.

The Centers of Excellence are leveraging current IBM Power Systems and OpenPOWER-based technologies for the required programming efforts, with the first prototype of the advanced supercomputers expected to be available to system developers and application writers in late 2015. The Centers of Excellence will continue to deploy updated prototype systems in order to ensure the ongoing system design will correctly and effectively support the optimized applications.

Source: IBM

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!

DARPA, NSF Seek Real-Time ML Processor

March 18, 2019

A new U.S. research initiative seeks to develop a processor capable of real-time learning while operating with the “efficiency of the human brain.” The National Science Foundation (NSF) and the Defense Advanced Re Read more…

By George Leopold

It’s Official: Aurora on Track to Be First U.S. Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaflops, will be delivered by the end of 2021 to Argonne Nation Read more…

By Tiffany Trader

NASA’s Pleiades Simulates Launch Abort Scenarios

March 15, 2019

NASA is using flow simulations running on its Pleiades supercomputer to help design the agency’s next manned spacecraft, Orion. Crew safety is paramount, so NASA engineers are using the HPC cluster to simulate and v Read more…

By George Leopold

HPE Extreme Performance Solutions

HPE and Intel® Omni-Path Architecture: How to Power a Cloud

Learn how HPE and Intel® Omni-Path Architecture provide critical infrastructure for leading Nordic HPC provider’s HPCFLOW cloud service.

powercloud_blog.jpgFor decades, HPE has been at the forefront of high-performance computing, and we’ve powered some of the fastest and most robust supercomputers in the world. Read more…

IBM Accelerated Insights

The Spark That Ignited A New World of Real-Time Analytics

High Performance Computing has always been about Big Data. It’s not uncommon for research datasets to contain millions of files and many terabytes, even petabytes of data, or more. Read more…

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

It’s Official: Aurora on Track to Be First U.S. Exascale Computer in 2021

March 18, 2019

The U.S. Department of Energy along with Intel and Cray confirmed today that an Intel/Cray supercomputer, "Aurora," capable of sustained performance of one exaf Read more…

By Tiffany Trader

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

Oil and Gas Supercloud Clears Out Remaining Knights Landing Inventory: All 38,000 Wafers

March 13, 2019

The McCloud HPC service being built by Australia’s DownUnder GeoSolutions (DUG) outside Houston is set to become the largest oil and gas cloud in the world th Read more…

By Tiffany Trader

Quick Take: Trump’s 2020 Budget Spares DoE-funded HPC but Slams NSF and NIH

March 12, 2019

U.S. President Donald Trump’s 2020 budget request, released yesterday, proposes deep cuts in many science programs but seems to spare HPC funding by the Depar Read more…

By John Russell

Nvidia Wins Mellanox Stakes for $6.9 Billion

March 11, 2019

The long-rumored acquisition of Mellanox came to fruition this morning with GPU chipmaker Nvidia’s announcement that it has purchased the high-performance net Read more…

By Doug Black

Optalysys Rolls Commercial Optical Processor

March 7, 2019

Optalysys, Ltd., a U.K. company seeking to advance it optical co-processor technology, moved a step closer this week with the unveiling of what it claims is th Read more…

By George Leopold

Intel Responds to White House AI Initiative

March 6, 2019

The Trump Administration’s release last month of the “American AI Initiative,” aimed at prioritizing federal R&D investments in machine intelligence, Read more…

By Doug Black

IBM Pitches Quantum Volume as Benchmarking Tool for Gate-based Quantum Computers

March 6, 2019

IBM this week announced it had achieved its highest Quantum Volume number to date at the American Physical Society (APS) March meeting being held in Boston. Wha Read more…

By John Russell

Quantum Computing Will Never Work

November 27, 2018

Amid the gush of money and enthusiastic predictions being thrown at quantum computing comes a proposed cold shower in the form of an essay by physicist Mikhail Read more…

By John Russell

The Case Against ‘The Case Against Quantum Computing’

January 9, 2019

It’s not easy to be a physicist. Richard Feynman (basically the Jimi Hendrix of physicists) once said: “The first principle is that you must not fool yourse Read more…

By Ben Criger

ClusterVision in Bankruptcy, Fate Uncertain

February 13, 2019

ClusterVision, European HPC specialists that have built and installed over 20 Top500-ranked systems in their nearly 17-year history, appear to be in the midst o Read more…

By Tiffany Trader

Intel Reportedly in $6B Bid for Mellanox

January 30, 2019

The latest rumors and reports around an acquisition of Mellanox focus on Intel, which has reportedly offered a $6 billion bid for the high performance interconn Read more…

By Doug Black

Looking for Light Reading? NSF-backed ‘Comic Books’ Tackle Quantum Computing

January 28, 2019

Still baffled by quantum computing? How about turning to comic books (graphic novels for the well-read among you) for some clarity and a little humor on QC. The Read more…

By John Russell

Why Nvidia Bought Mellanox: ‘Future Datacenters Will Be…Like High Performance Computers’

March 14, 2019

“Future datacenters of all kinds will be built like high performance computers,” said Nvidia CEO Jensen Huang during a phone briefing on Monday after Nvidia revealed scooping up the high performance networking company Mellanox for $6.9 billion. Read more…

By Tiffany Trader

Contract Signed for New Finnish Supercomputer

December 13, 2018

After the official contract signing yesterday, configuration details were made public for the new BullSequana system that the Finnish IT Center for Science (CSC Read more…

By Tiffany Trader

Deep500: ETH Researchers Introduce New Deep Learning Benchmark for HPC

February 5, 2019

ETH researchers have developed a new deep learning benchmarking environment – Deep500 – they say is “the first distributed and reproducible benchmarking s Read more…

By John Russell

Leading Solution Providers

SC 18 Virtual Booth Video Tour

Advania @ SC18 AMD @ SC18
ASRock Rack @ SC18
DDN Storage @ SC18
HPE @ SC18
IBM @ SC18
Lenovo @ SC18 Mellanox Technologies @ SC18
NVIDIA @ SC18
One Stop Systems @ SC18
Oracle @ SC18 Panasas @ SC18
Supermicro @ SC18 SUSE @ SC18 TYAN @ SC18
Verne Global @ SC18

IBM Quantum Update: Q System One Launch, New Collaborators, and QC Center Plans

January 10, 2019

IBM made three significant quantum computing announcements at CES this week. One was introduction of IBM Q System One; it’s really the integration of IBM’s Read more…

By John Russell

IBM Bets $2B Seeking 1000X AI Hardware Performance Boost

February 7, 2019

For now, AI systems are mostly machine learning-based and “narrow” – powerful as they are by today's standards, they're limited to performing a few, narro Read more…

By Doug Black

The Deep500 – Researchers Tackle an HPC Benchmark for Deep Learning

January 7, 2019

How do you know if an HPC system, particularly a larger-scale system, is well-suited for deep learning workloads? Today, that’s not an easy question to answer Read more…

By John Russell

HPC Reflections and (Mostly Hopeful) Predictions

December 19, 2018

So much ‘spaghetti’ gets tossed on walls by the technology community (vendors and researchers) to see what sticks that it is often difficult to peer through Read more…

By John Russell

Arm Unveils Neoverse N1 Platform with up to 128-Cores

February 20, 2019

Following on its Neoverse roadmap announcement last October, Arm today revealed its next-gen Neoverse microarchitecture with compute and throughput-optimized si Read more…

By Tiffany Trader

Move Over Lustre & Spectrum Scale – Here Comes BeeGFS?

November 26, 2018

Is BeeGFS – the parallel file system with European roots – on a path to compete with Lustre and Spectrum Scale worldwide in HPC environments? Frank Herold Read more…

By John Russell

France to Deploy AI-Focused Supercomputer: Jean Zay

January 22, 2019

HPE announced today that it won the contract to build a supercomputer that will drive France’s AI and HPC efforts. The computer will be part of GENCI, the Fre Read more…

By Tiffany Trader

Microsoft to Buy Mellanox?

December 20, 2018

Networking equipment powerhouse Mellanox could be an acquisition target by Microsoft, according to a published report in an Israeli financial publication. Microsoft has reportedly gone so far as to engage Goldman Sachs to handle negotiations with Mellanox. Read more…

By Doug Black

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