Berkeley Lab, Oak Ridge, NVIDIA Team Breaks Exaop Barrier With Deep Learning Application

October 8, 2018

Oct. 8, 2018 — A team of computational scientists from Lawrence Berkeley National Laboratory (Berkeley Lab) and Oak Ridge National Laboratory (ORNL) and engineers from NVIDIA has, for the first time, demonstrated an exascale-class deep learning application that has broken the exaop barrier.

Using a climate dataset from Berkeley Lab on ORNL’s Summit system at the Oak Ridge Leadership Computing Facility (OLCF), they trained a deep neural network to identify extreme weather patterns from high-resolution climate simulations. Summit is an IBM Power Systems AC922 supercomputer powered by more than 9,000 IBM POWER9 CPUs and 27,000 NVIDIA® Tesla® V100 Tensor Core GPUs. By tapping into the specialized NVIDIA Tensor Cores built into the GPUs at scale, the researchers achieved a peak performance of 1.13 exaops and a sustained performance of 0.999 – the fastest deep learning algorithm reported to date and an achievement that earned them a spot on this year’s list of finalists for the Gordon Bell Prize.

High-quality segmentation results produced by deep learning on climate datasets.

“This collaboration has produced a number of unique accomplishments,” said Prabhat, who leads the Data & Analytics Services team at Berkeley Lab’s National Energy Research Scientific Computing Center and is a co-author on the Gordon Bell submission. “It is the first example of deep learning architecture that has been able to solve segmentation problems in climate science, and in the field of deep learning, it is the first example of a real application that has broken the exascale barrier.”

These achievements were made possible through an innovative blend of hardware and software capabilities. On the hardware side, Summit has been designed to deliver 200 petaflops of high-precision computing performance and was recently named the fastest computer in the world, capable of performing more than three exaops (3 billion billion calculations) per second. The system features a hybrid architecture; each of its 4,608 compute nodes contains two IBM POWER9 CPUs and six NVIDIA Volta Tensor Core GPUs, all connected via the NVIDIA NVLink high-speed interconnect.The NVIDIA GPUs are a key factor in Summit’s performance, enabling up to 12 times higher peak teraflops for training and 6 times higher peak teraflops for inference in deep learning applications compared to its predecessor, the Tesla P100.

“Our partnering with Berkeley Lab and Oak Ridge National Laboratory showed the true potential of NVIDIA Tensor Core GPUs for AI and HPC applications,” said Michael Houston, senior distinguished engineer of deep learning at NVIDIA. “To make exascale a reality, our team tapped into the multi-precision capabilities packed into the thousands of NVIDIA Volta Tensor Core GPUs on Summit to achieve peak performance in training and inference in deep learning applications.”

Improved Scalability and Communication

On the software side, in addition to providing the climate dataset, the Berkeley Lab team developed pattern-recognition algorithms for training the DeepLabv3+ neural network to extract pixel-level classifications of extreme weather patterns, which could aid in the prediction of how extreme weather events are changing as the climate warms. According to Thorsten Kurth, an application performance specialist at NERSC who led this project, the team made modifications to DeepLabv3+ that improved the network’s scalability and communications capabilities and made the exaops achievement possible. This included tweaking the network to train it to extract pixel-level features and per-pixel classification and improve node-to-node communication.

“What is impressive about this effort is that we could scale a high-productivity framework like TensorFlow, which is technically designed for rapid prototyping on small to medium scales, to 4,560 nodes on Summit,” he said. “With a number of performance enhancements, we were able to get the framework to run on nearly the entire supercomputer and achieve exaop-level performance, which to my knowledge is the best achieved so far in a tightly coupled application.”

Other innovations included high-speed parallel data staging, an optimized data ingestion pipeline and multi-channel segmentation. Traditional image segmentation tasks work on three-channel red/blue/green images. But scientific datasets often comprise many channels; in climate, for example, these can include temperature, wind speeds, pressure values and humidity. By running the optimized neural network on Summit, the additional computational capabilities allowed the use of all 16 available channels, which dramatically improved the accuracy of the models.

“We have shown that we can apply deep-learning methods for pixel-level segmentation on climate data, and potentially on other scientific domains,” said Prabhat. “More generally, our project has laid the groundwork for exascale deep learning for science, as well as commercial applications.”

In addition to Prabhat, Houston and Kurth, the research team included Jack Deslippe, Mayur Mudigonda and Ankur Mahesh of Berkeley Lab; Michael Matheson of ORNL; and Sean Treichler, Joshua Romero, Nathan Luehr, Everett Phillips and Massimiliano Fatica of NVIDIA.

Established more than three decades ago by the Association for Computing Machinery, the Gordon Bell award recognizes outstanding achievement in the field of computing for applications in science, engineering and large-scale data science. This year’s winner will be announced at SC18 in November in Dallas, TX.

NERSC and OLCF are both DOE Office of Science User Facilities.


Source: Kathy Kincade, Berkeley Lab

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!

What’s New in HPC Research: Rabies, Smog, Robots & More

October 14, 2019

In this bimonthly feature, HPCwire highlights newly published research in the high-performance computing community and related domains. From parallel programming to exascale to quantum computing, the details are here. Read more…

By Oliver Peckham

Crystal Ball Gazing: IBM’s Vision for the Future of Computing

October 14, 2019

Dario Gil, IBM’s relatively new director of research, painted a intriguing portrait of the future of computing along with a rough idea of how IBM thinks we’ll get there at last month’s MIT-IBM Watson AI Lab’s AI Read more…

By John Russell

Summit Simulates Braking – on Mars

October 14, 2019

NASA is planning to send humans to Mars by the 2030s – and landing on the surface will be considerably trickier than landing a rover like Curiosity. To solve the problem, NASA researchers are using the world’s fastes Read more…

By Staff report

Chaminade University’s Immersion Program Builds Capacity for Data Science in Hawaii, Pacific Region

October 10, 2019

Kuleana is a uniquely Hawaiian value and practice which embodies responsibility to self, community, and the ‘aina' (land). At Chaminade University, a federally designated Native Hawaiian serving university in Hawai‘i Read more…

By Faith Singer-Villalobos

Trovares Drives Memory-Driven, Property Graph Analytics Strategy with HPE

October 10, 2019

Trovares, a high performance property graph analytics company, has partnered with HPE and its Superdome Flex memory-driven servers on a cybersecurity capability the companies say “routinely” runs near-time workloads on 24TB-capacity systems... Read more…

By Doug Black

AWS Solution Channel

Making High Performance Computing Affordable and Accessible for Small and Medium Businesses with HPC on AWS

High performance computing (HPC) brings a powerful set of tools to a broad range of industries, helping to drive innovation and boost revenue in finance, genomics, oil and gas extraction, and other fields. Read more…

HPE Extreme Performance Solutions

Intel FPGAs: More Than Just an Accelerator Card

FPGA (Field Programmable Gate Array) acceleration cards are not new, as they’ve been commercially available since 1984. Typically, the emphasis around FPGAs has centered on the fact that they’re programmable accelerators, and that they can truly offer workload specific hardware acceleration solutions without requiring custom silicon. Read more…

IBM Accelerated Insights

HPC in the Cloud: Avoid These Common Pitfalls

[Connect with LSF users and learn new skills in the IBM Spectrum LSF User Community.]

It seems that everyone is experimenting about cloud computing. Read more…

Intel, Lenovo Join Forces on HPC Cluster for Flatiron

October 9, 2019

An HPC cluster with deep learning techniques will be used to process petabytes of scientific data as part of workload-intensive projects spanning astrophysics to genomics. AI partners Intel and Lenovo said they are providing... Read more…

By George Leopold

Crystal Ball Gazing: IBM’s Vision for the Future of Computing

October 14, 2019

Dario Gil, IBM’s relatively new director of research, painted a intriguing portrait of the future of computing along with a rough idea of how IBM thinks we’ Read more…

By John Russell

Summit Simulates Braking – on Mars

October 14, 2019

NASA is planning to send humans to Mars by the 2030s – and landing on the surface will be considerably trickier than landing a rover like Curiosity. To solve Read more…

By Staff report

Trovares Drives Memory-Driven, Property Graph Analytics Strategy with HPE

October 10, 2019

Trovares, a high performance property graph analytics company, has partnered with HPE and its Superdome Flex memory-driven servers on a cybersecurity capability the companies say “routinely” runs near-time workloads on 24TB-capacity systems... Read more…

By Doug Black

Intel, Lenovo Join Forces on HPC Cluster for Flatiron

October 9, 2019

An HPC cluster with deep learning techniques will be used to process petabytes of scientific data as part of workload-intensive projects spanning astrophysics to genomics. AI partners Intel and Lenovo said they are providing... Read more…

By George Leopold

Optimizing Offshore Wind Farms with Supercomputer Simulations

October 9, 2019

Offshore wind farms offer a number of benefits; many of the areas with the strongest winds are located offshore, and siting wind farms offshore ameliorates many of the land use concerns associated with onshore wind farms. Some estimates say that, if leveraged, offshore wind power... Read more…

By Oliver Peckham

Harvard Deploys Cannon, New Lenovo Water-Cooled HPC Cluster

October 9, 2019

Harvard's Faculty of Arts & Sciences Research Computing (FASRC) center announced a refresh of their primary HPC resource. The new cluster, called Cannon after the pioneering American astronomer Annie Jump Cannon, is supplied by Lenovo... Read more…

By Tiffany Trader

NSF Announces New AI Program; Plans $120M in Funding Next Year

October 8, 2019

As the saying goes, when you’re hot, you’re hot. Right now, AI is scalding. Today the National Science Foundation announced a new AI initiative – The National Artificial Intelligence Research Institutes program – with plans to invest about “$120 million in grants next year... Read more…

By Staff report

DOE Sets Sights on Accelerating AI (and other) Technology Transfer

October 3, 2019

For the past two days DOE leaders along with ~350 members from academia and industry gathered in Chicago to discuss AI development and the ways in which industr Read more…

By John Russell

Supercomputer-Powered AI Tackles a Key Fusion Energy Challenge

August 7, 2019

Fusion energy is the Holy Grail of the energy world: low-radioactivity, low-waste, zero-carbon, high-output nuclear power that can run on hydrogen or lithium. T Read more…

By Oliver Peckham

DARPA Looks to Propel Parallelism

September 4, 2019

As Moore’s law runs out of steam, new programming approaches are being pursued with the goal of greater hardware performance with less coding. The Defense Advanced Projects Research Agency is launching a new programming effort aimed at leveraging the benefits of massive distributed parallelism with less sweat. Read more…

By George Leopold

Cray Wins NNSA-Livermore ‘El Capitan’ Exascale Contract

August 13, 2019

Cray has won the bid to build the first exascale supercomputer for the National Nuclear Security Administration (NNSA) and Lawrence Livermore National Laborator Read more…

By Tiffany Trader

AMD Launches Epyc Rome, First 7nm CPU

August 8, 2019

From a gala event at the Palace of Fine Arts in San Francisco yesterday (Aug. 7), AMD launched its second-generation Epyc Rome x86 chips, based on its 7nm proce Read more…

By Tiffany Trader

Ayar Labs to Demo Photonics Chiplet in FPGA Package at Hot Chips

August 19, 2019

Silicon startup Ayar Labs continues to gain momentum with its DARPA-backed optical chiplet technology that puts advanced electronics and optics on the same chip Read more…

By Tiffany Trader

Chinese Company Sugon Placed on US ‘Entity List’ After Strong Showing at International Supercomputing Conference

June 26, 2019

After more than a decade of advancing its supercomputing prowess, operating the world’s most powerful supercomputer from June 2013 to June 2018, China is keep Read more…

By Tiffany Trader

D-Wave’s Path to 5000 Qubits; Google’s Quantum Supremacy Claim

September 24, 2019

On the heels of IBM’s quantum news last week come two more quantum items. D-Wave Systems today announced the name of its forthcoming 5000-qubit system, Advantage (yes the name choice isn’t serendipity), at its user conference being held this week in Newport, RI. Read more…

By John Russell

A Behind-the-Scenes Look at the Hardware That Powered the Black Hole Image

June 24, 2019

Two months ago, the first-ever image of a black hole took the internet by storm. A team of scientists took years to produce and verify the striking image – an Read more…

By Oliver Peckham

Leading Solution Providers

ISC 2019 Virtual Booth Video Tour

CRAY
CRAY
DDN
DDN
DELL EMC
DELL EMC
GOOGLE
GOOGLE
ONE STOP SYSTEMS
ONE STOP SYSTEMS
PANASAS
PANASAS
VERNE GLOBAL
VERNE GLOBAL

Intel Confirms Retreat on Omni-Path

August 1, 2019

Intel Corp.’s plans to make a big splash in the network fabric market for linking HPC and other workloads has apparently belly-flopped. The chipmaker confirmed to us the outlines of an earlier report by the website CRN that it has jettisoned plans for a second-generation version of its Omni-Path interconnect... Read more…

By Staff report

Kubernetes, Containers and HPC

September 19, 2019

Software containers and Kubernetes are important tools for building, deploying, running and managing modern enterprise applications at scale and delivering enterprise software faster and more reliably to the end user — while using resources more efficiently and reducing costs. Read more…

By Daniel Gruber, Burak Yenier and Wolfgang Gentzsch, UberCloud

Intel Debuts Pohoiki Beach, Its 8M Neuron Neuromorphic Development System

July 17, 2019

Neuromorphic computing has received less fanfare of late than quantum computing whose mystery has captured public attention and which seems to have generated mo Read more…

By John Russell

Rise of NIH’s Biowulf Mirrors the Rise of Computational Biology

July 29, 2019

The story of NIH’s supercomputer Biowulf is fascinating, important, and in many ways representative of the transformation of life sciences and biomedical res Read more…

By John Russell

Quantum Bits: Neven’s Law (Who Asked for That), D-Wave’s Steady Push, IBM’s Li-O2- Simulation

July 3, 2019

Quantum computing’s (QC) many-faceted R&D train keeps slogging ahead and recently Japan is taking a leading role. Yesterday D-Wave Systems announced it ha Read more…

By John Russell

With the Help of HPC, Astronomers Prepare to Deflect a Real Asteroid

September 26, 2019

For years, NASA has been running simulations of asteroid impacts to understand the risks (and likelihoods) of asteroids colliding with Earth. Now, NASA and the European Space Agency (ESA) are preparing for the next, crucial step in planetary defense against asteroid impacts: physically deflecting a real asteroid. Read more…

By Oliver Peckham

ISC Keynote: Thomas Sterling’s Take on Whither HPC

June 20, 2019

Entertaining, insightful, and unafraid to launch the occasional verbal ICBM, HPC pioneer Thomas Sterling delivered his 16th annual closing keynote at ISC yesterday. He explored, among other things: exascale machinations; quantum’s bubbling money pot; Arm’s new HPC viability; Europe’s... Read more…

By John Russell

Argonne Team Makes Record Globus File Transfer

July 10, 2019

A team of scientists at Argonne National Laboratory has broken a data transfer record by moving a staggering 2.9 petabytes of data for a research project.  The data – from three large cosmological simulations – was generated and stored on the Summit supercomputer at the Oak Ridge Leadership Computing Facility (OLCF)... Read more…

By Oliver Peckham

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