GPUs Power Five of World’s Top Seven Supercomputers

By Tiffany Trader

June 25, 2018

The top 10 echelon of the newly minted Top500 list boasts three powerful new systems with one common engine: the Nvidia Volta V100 general-purpose graphics processor. With the rollout of the 50th Top500 listing in Frankfurt this morning, Nvidia highlighted its role in powering the new number one system, Summit at Oak Ridge National Lab; the new number three system, Sierra at Livermore Lab, and Japan’s new fastest supercomputer, the number-five machine, ABCI. Nvidia GPUs are also under the hood of the world’s fastest industrial supercomputer, Italian energy company Eni’s HPC4 system, which enters the list at number 13.

Debuting at Oak Ridge National Lab earlier this month, the new number-one champ Summit achieved 122.30 petaflops on its Linpack submission, recapturing the U.S lead at the top of the list and displacing China’s Sunway TaihuLight, now in second place with 93 Linpack petaflops (out of a potential 125 theoretical peak petaflops). The benchmarked Summit is spec’d at 187.66 petaflops peak, putting its Linpack efficiency at 65 percent. You’ll note that the Rpeak is 28 petaflops shy of the full build comprised of 4,608 IBM Power9 nodes, which at 7.8 teraflops per V100 GPU comes out to 215.65 peak petaflops based on the GPUs alone (the Power9s add roughly 5 percent more flops). “At the point that we had to turn it in, that was as large as we could run,” Buddy Bland, project director of the Oak Ridge Leadership Computing Facility, told HPCwire, “and it will continue to get better.”

Sierra, based at the Lawrence Livermore National Laboratory and purchased under the same CORAL RFP as Summit, was somewhat of a surprise entrant in third position with 71.61 Linpack petaflops out of 119.19 Rpeak petaflops, delivered using 17,280 GPUs. That’s a Linpack efficiency of 60 percent. Both machines were built by IBM in collaboration with Nvidia and Mellanox for the United States Department of Energy, but Sierra’s deployment was running a few weeks behind Summit, so it was not certain (from our perspective at least) that it would be benchmarked in time for this list installation.

The IBM/Nvidia/Mellanox CORAL machines Summit and Sierra also took the first two spots on the HPCG benchmark. On the Green500, there was a large spread between the machines with the six-GPU node Summit at number five and four-GPU node Sierra ranked 276th.

Source: Top500 (June 2018, systems 1-10)

In fifth place, Japan’s fastest system AI Bridging Cloud Infrastructure (ABCI) delivers 19.6 petaflops of performance (out of a peak of 32.58 petaflops) using 4,352 V100 GPUs. The Fujitsu-made supercomputer is installed in Japan at the National Institute of Advanced Industrial Science and Technology (AIST) at the Kashiwa II campus of the University of Tokyo. (See our earlier coverage here.)

Nvidia also powers two existing top ten machines: the Cray XC50 Piz Daint – Europe’s fastest, deployed at the Swiss National Supercomputing Centre (CSCS) – and the previous U.S. title-holder Titan, installed at Oak Ridge National Lab in 2012 as an upgrade to Jaguar. Delivering 19.5 petaflops of Linpack performance using 5,320 P100 GPUs, Piz Daint drops to sixth place from its previous third-place position. Titan, the Cray XK7 with Nvidia K20x’s that was once the world fastest supercomputer (with 17.59 petaflops of Linpack performance) fell two spots to number seven.

“The new systems reflect the broader shift to accelerators in the Top500 list,” said Nvidia, characterizing the machines as “AI supercomputers … uniquely capable of processing both traditional HPC simulations and revolutionary new AI workloads.”

“GPUs now power five out of the world’s seven fastest systems as well as 17 of the 20 most energy efficient systems on the new Green500 list,” the company remarked, adding that the “majority of computing performance added to the Top500 list comes from Nvidia GPUs.”

The Volta Tensor Core GPU makes it possible to “combine simulation with the power of AI to advance science, find cures for disease and develop new forms of energy,” said CUDA inventor Ian Buck.

The same GPUs are also inside HPC4, the new entrant at number 13 that is the world’s most powerful publicly announced commercial system, providing 12.21 Linpack petaflops (out of a potential theoretical 18.62 petaflops) for Italian energy company Eni’s oil and gas exploration activities. Built by Hewlett Packard Enterprise (HPE), the cluster encompasses 1,600 ProLiant DL380 nodes, each equipped with two Intel 24-core Skylake processors and two Nvidia Tesla P100 GPU accelerators.

The latest Top500 report includes 110 systems with some manner of accelerator and/or co-processor technology, up from 101 six months ago. 98 are equipped with Nvidia chips, seven systems utilize Intel Xeon Phi (coprocessor) technology and four are using PEZY technology. Two systems (ranked 52 and 252) employ a combination of Nvidia and Intel Xeon Phi accelerators/coprocessors. The newly upgraded Tianhe-2a (now in fourth position with 61.44 petaflops up from 33.86 petaflops), installed at the National Super Computer Center in Guangzhou, employs custom-built Matrox-2000 accelerators. 19 systems now use Xeon Phi as the main processing unit.

“This year’s Top500 list represents a clear shift toward systems that support both HPC and AI computing,” said Jack Dongarra, professor at the University of Tennessee and Oak Ridge National Laboratory and Top500 author.  “Accelerators, such as GPUs, are critical to deliver this capability at the performance and efficiency targets demanded by the supercomputing community.”

Source: Top500 (June 2018, systems 11-15)
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!

NREL ‘Eagle’ Supercomputer to Advance Energy Tech R&D

August 14, 2018

The U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) has contracted with HPE for a new 8-petaflops (peak) supercomputer that will be used to advance early-stage R&D on energy technologies s Read more…

By Tiffany Trader

Training Time Slashed for Deep Learning

August 14, 2018, an organization offering free courses on deep learning, claimed a new speed record for training a popular image database using Nvidia GPUs running on public cloud infrastructure. A pair of researchers trained Read more…

By George Leopold

CERN Project Sees Orders-of-Magnitude Speedup with AI Approach

August 14, 2018

An award-winning effort at CERN has demonstrated potential to significantly change how the physics based modeling and simulation communities view machine learning. The CERN team demonstrated that AI-based models have the Read more…

By Rob Farber

HPE Extreme Performance Solutions

Introducing the First Integrated System Management Software for HPC Clusters from HPE

How do you manage your complex, growing cluster environments? Answer that big challenge with the new HPC cluster management solution: HPE Performance Cluster Manager. Read more…

IBM Accelerated Insights

Super Problem Solving

You might think that tackling the world’s toughest problems is a job only for superheroes, but at special places such as the Oak Ridge National Laboratory, supercomputers are the real heroes. Read more…

Rigetti Eyes Scaling with 128-Qubit Architecture

August 10, 2018

Rigetti Computing plans to build a 128-qubit quantum computer based on an equivalent quantum processor that leverages emerging hybrid computing algorithms used to test programs and potential applications. Founded in 2 Read more…

By George Leopold

NREL ‘Eagle’ Supercomputer to Advance Energy Tech R&D

August 14, 2018

The U.S. Department of Energy (DOE) National Renewable Energy Laboratory (NREL) has contracted with HPE for a new 8-petaflops (peak) supercomputer that will be Read more…

By Tiffany Trader

CERN Project Sees Orders-of-Magnitude Speedup with AI Approach

August 14, 2018

An award-winning effort at CERN has demonstrated potential to significantly change how the physics based modeling and simulation communities view machine learni Read more…

By Rob Farber

Intel Announces Cooper Lake, Advances AI Strategy

August 9, 2018

Intel's chief datacenter exec Navin Shenoy kicked off the company's Data-Centric Innovation Summit Wednesday, the day-long program devoted to Intel's datacenter Read more…

By Tiffany Trader

SLATE Update: Making Math Libraries Exascale-ready

August 9, 2018

Practically-speaking, achieving exascale computing requires enabling HPC software to effectively use accelerators – mostly GPUs at present – and that remain Read more…

By John Russell

Summertime in Washington: Some Unexpected Advanced Computing News

August 8, 2018

Summertime in Washington DC is known for its heat and humidity. That is why most people get away to either the mountains or the seashore and things slow down. H Read more…

By Alex R. Larzelere

NSF Invests $15 Million in Quantum STAQ

August 7, 2018

Quantum computing development is in full ascent as global backers aim to transcend the limitations of classical computing by leveraging the magical-seeming prop Read more…

By Tiffany Trader

By the Numbers: Cray Would Like Exascale to Be the Icing on the Cake

August 1, 2018

On its earnings call held for investors yesterday, Cray gave an accounting for its latest quarterly financials, offered future guidance and provided an update o Read more…

By Tiffany Trader

Google is First Partner in NIH’s STRIDES Effort to Speed Discovery in the Cloud

July 31, 2018

The National Institutes of Health, with the help of Google, last week launched STRIDES - Science and Technology Research Infrastructure for Discovery, Experimen Read more…

By John Russell

Leading Solution Providers

SC17 Booth Video Tours Playlist

Altair @ SC17


AMD @ SC17


ASRock Rack @ SC17

ASRock Rack



DDN Storage @ SC17

DDN Storage

Huawei @ SC17


IBM @ SC17


IBM Power Systems @ SC17

IBM Power Systems

Intel @ SC17


Lenovo @ SC17


Mellanox Technologies @ SC17

Mellanox Technologies

Microsoft @ SC17


Penguin Computing @ SC17

Penguin Computing

Pure Storage @ SC17

Pure Storage

Supericro @ SC17


Tyan @ SC17


Univa @ SC17


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