Argonne Researchers to Share Scientific Computing Insights at SC19

November 15, 2019

Nov. 15, 2019 — The Supercomputing 2019 (SC19) conference, scheduled for November 17–22 in Denver, will bring together the global high-performance computing (HPC) community, including researchers from the U.S. Department of Energy’s (DOE) Argonne National Laboratory, to share scientific computing advances and insights with an eye toward the upcoming exascale era.

Continuing the laboratory’s long history of participation in the SC conference series, more than 90 Argonne researchers will contribute to conference activities and studies on topics ranging from exascale computing and big data analysis to artificial intelligence (AI) and quantum computing.

“SC is a tremendous venue for Argonne to showcase its innovative uses of high-performance and data-intensive computing to advance science and engineering,” said Salman Habib, director of Argonne’s Computational Science division. “We look forward to sharing our research and connecting with and learning from our peers, who are also working to push the boundaries of extreme-scale computing in new directions.”

As the future home to one of the world’s first exascale supercomputers — Aurora, an Intel-Cray machine scheduled to arrive in 2021— Argonne continues to drive the development of technologies, tools and techniques that enable scientific breakthroughs on current and future HPC systems. To fully realize exascale’s potential, the laboratory is creating an environment that supports the convergence of AI, machine learning and data science methods alongside traditional modeling and simulation-based research.

“We are seeing rapid advances in the application of deep learning and other forms of AI to complex science problems at Argonne and across the broader research community,” said Ian Foster, director of Argonne’s Data Science and Learning division, Argonne Distinguished Fellow and also the Arthur Holly Compton Distinguished Service Professor of Computer Science at the University of Chicago. “SC provides a forum for the community to get together and share how these methods are being used to accelerate research for a diverse set of applications.”

The laboratory’s conference activities will include technical paper presentations, talks, workshops, ​“birds of a feather” sessions, panel discussions and tutorials. In addition, Argonne will partner with other DOE national laboratories to deliver talks and demos at the DOE’s conference booth (#925). Some notable Argonne activities are highlighted below. For the full schedule of the laboratory’s participation in the conference, visit Argonne’s SC19 webpage.

DOE Booth Talk: Scientific Domain-Informed Machine Learning

Argonne computer scientist Prasanna Balaprakash will deliver a talk at the DOE booth on the laboratory’s pivotal research with machine learning. His featured talk will cover Argonne’s efforts to develop and apply machine learning approaches that enable data-driven discoveries in a wide variety of scientific domains, including cosmology, cancer research and climate modeling. Balaprakash will highlight successful use cases across the laboratory, as well as some exciting avenues for future research.

In Situ Analysis for Extreme-Scale Cosmological Simulations

Argonne physicist and computational scientist Katrin Heitmann will deliver the keynote talk at the In Situ Infrastructures for Enabling Extreme-scale Analysis and Visualization (ISAV 2019) workshop. Her talk will cover the development of in situ analysis capabilities (i.e., data analysis while a simulation is in progress) for the Hardware/Hybrid Accelerated Cosmology Code, which has been used to carry out several extreme-scale simulations on DOE supercomputers. Heitmann will discuss the current limitations of her team’s “on the fly” analysis tool suite and how they are developing solutions to prepare for the arrival of DOE’s forthcoming exascale systems.

Full-State Quantum Circuit Simulation by Using Data Compression

Researchers from Argonne and the University of Chicago will present a technical paper on their work to develop a new quantum circuit simulation technique that leverages data compression, trading computation time and fidelity to reduce the memory requirements of full-state quantum circuit simulations. Demonstrated on Argonne’s Theta supercomputer, the team’s novel approach provides researchers and developers with a platform for quantum software debugging and hardware validation for modern quantum devices that have more than 50 qubits.

Deep Learning on Supercomputers

Argonne scientists will have a strong presence at the Deep Learning on Supercomputers workshop. Co-chaired by Foster, the workshop provides a forum for researchers working at the intersection of deep learning and HPC. Argonne researchers are part of a multi-institutional team that will present “DeepDriveMD: Deep-Learning-Driven Adaptive Molecular Simulations for Protein Folding.” The study provides a quantitative basis by which to understand how coupling deep learning approaches to molecular dynamics simulations can lead to effective performance gains and reduced times-to-solution on supercomputing resources.

A team of researchers from Argonne and the University of Chicago will present “Scaling Distributed Training of Flood-Filling Networks on HPC Infrastructure for Brain Mapping” at the Deep Learning on Supercomputers workshop. The team’s paper details an approach to improve the performance of flood-filling networks, an automated method for segmenting brain data from electron microscopy experiments. Using Argonne’s Theta supercomputer, the researchers implemented a new synchronous and data-parallel distributed training scheme that reduced the amount of time required to train the flood-filling network.

Priority Research Directions for In Situ Data Management: Enabling Scientific Discovery from Diverse Data Sources

At the 14th Workshop on Workflows in Support of Large-Scale Science (WORKS19), Argonne computer scientist Tom Peterka’s keynote talk will cover six priority research directions that highlight the components and capabilities needed for in situ data management to be successful for a wide variety of applications. In situ analysis tools can enable discoveries from a broad range of data sources — HPC simulations, experiments, scientific instruments and sensor networks — by helping researchers minimize data movement, save storage space and boost resource efficiency, often while simultaneously increasing scientific precision.

The Many Faces of Instrumentation: Debugging and Better Performance using LLVM in HPC

Argonne computational scientist Hal Finkel will deliver a keynote talk on the open-source LLVM compiler infrastructure at the Workshop on Programming and Performance Visualization Tools (ProTools 19). LLVM, winner of the 2012 ACM Software System Award, has become an integral part of the software-development ecosystem for optimizing compilers, dynamic-language execution engines, source-code analysis and transformation tools, debuggers and linkers, and a host of other programming language- and toolchain-related components. Finkel will discuss various LLVM technologies, HPC tooling use cases, challenges in using these technologies in HPC environments, and interesting opportunities for the future.

About Argonne National Laboratory 

Argonne National Laboratory seeks solutions to pressing national problems in science and technology. The nation’s first national laboratory, Argonne conducts leading-edge basic and applied scientific research in virtually every scientific discipline. Argonne researchers work closely with researchers from hundreds of companies, universities, and federal, state and municipal agencies to help them solve their specific problems, advance America’s scientific leadership and prepare the nation for a better future. With employees from more than 60 nations, Argonne is managed by UChicago Argonne, LLC for the U.S. Department of Energy’s Office of Science.

About the U.S. Department of Energy’s Office of Science

The U.S. Department of Energy’s Office of Science is the single largest supporter of basic research in the physical sciences in the United States and is working to address some of the most pressing challenges of our time. For more information, visit https://energy.gov/science


Source: Jim Collins, Argonne National Laboratory 

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!

D-Wave Delivers 5000-qubit System; Targets Quantum Advantage

September 29, 2020

D-Wave today launched its newest and largest quantum annealing computer, a 5000-qubit goliath named Advantage that features 15-way qubit interconnectivity. It also introduced the D-Wave Launch program intended to jump st Read more…

By John Russell

What’s New in Computing vs. COVID-19: AMD, Remdesivir, Fab Spending & More

September 29, 2020

Supercomputing, big data and artificial intelligence are crucial tools in the fight against the coronavirus pandemic. Around the world, researchers, corporations and governments are urgently devoting their computing reso Read more…

By Oliver Peckham

Global QC Market Projected to Grow to More Than $800 million by 2024

September 28, 2020

The Quantum Economic Development Consortium (QED-C) and Hyperion Research are projecting that the global quantum computing (QC) market - worth an estimated $320 million in 2020 - will grow at an anticipated 27% CAGR betw Read more…

By Staff Reports

DoE’s ASCAC Backs AI for Science Program that Emulates the Exascale Initiative

September 28, 2020

Roughly a year after beginning formal efforts to explore an AI for Science initiative the Department of Energy’s Advanced Scientific Computing Advisory Committee last week accepted a subcommittee report calling for a t Read more…

By John Russell

Supercomputer Research Aims to Supercharge COVID-19 Antiviral Remdesivir

September 25, 2020

Remdesivir is one of a handful of therapeutic antiviral drugs that have been proven to improve outcomes for COVID-19 patients, and as such, is a crucial weapon in the fight against the pandemic – especially in the abse Read more…

By Oliver Peckham

AWS Solution Channel

The Water Institute of the Gulf runs compute-heavy storm surge and wave simulations on AWS

The Water Institute of the Gulf (Water Institute) runs its storm surge and wave analysis models on Amazon Web Services (AWS)—a task that sometimes requires large bursts of compute power. Read more…

Intel® HPC + AI Pavilion

Berlin Institute of Health: Putting HPC to Work for the World

Researchers from the Center for Digital Health at the Berlin Institute of Health (BIH) are using science to understand the pathophysiology of COVID-19, which can help to inform the development of targeted treatments. Read more…

NOAA Announces Major Upgrade to Ensemble Forecast Model, Extends Range to 35 Days

September 23, 2020

A bit over a year ago, the United States’ Global Forecast System (GFS) received a major upgrade: a new dynamical core – its first in 40 years – called the finite-volume cubed-sphere, or FV3. Now, the National Oceanic and Atmospheric Administration (NOAA) is bringing the FV3 dynamical core to... Read more…

By Oliver Peckham

D-Wave Delivers 5000-qubit System; Targets Quantum Advantage

September 29, 2020

D-Wave today launched its newest and largest quantum annealing computer, a 5000-qubit goliath named Advantage that features 15-way qubit interconnectivity. It a Read more…

By John Russell

DoE’s ASCAC Backs AI for Science Program that Emulates the Exascale Initiative

September 28, 2020

Roughly a year after beginning formal efforts to explore an AI for Science initiative the Department of Energy’s Advanced Scientific Computing Advisory Commit Read more…

By John Russell

NOAA Announces Major Upgrade to Ensemble Forecast Model, Extends Range to 35 Days

September 23, 2020

A bit over a year ago, the United States’ Global Forecast System (GFS) received a major upgrade: a new dynamical core – its first in 40 years – called the finite-volume cubed-sphere, or FV3. Now, the National Oceanic and Atmospheric Administration (NOAA) is bringing the FV3 dynamical core to... Read more…

By Oliver Peckham

Arm Targets HPC with New Neoverse Platforms

September 22, 2020

UK-based semiconductor design company Arm today teased details of its Neoverse roadmap, introducing V1 (codenamed Zeus) and N2 (codenamed Perseus), Arm’s second generation N-series platform. The chip IP vendor said the new platforms will deliver 50 percent and 40 percent more... Read more…

By Tiffany Trader

Oracle Cloud Deepens HPC Embrace with Launch of A100 Instances, Plans for Arm, More 

September 22, 2020

Oracle Cloud Infrastructure (OCI) continued its steady ramp-up of HPC capabilities today with a flurry of announcements. Topping the list is general availabilit Read more…

By John Russell

European Commission Declares €8 Billion Investment in Supercomputing

September 18, 2020

Just under two years ago, the European Commission formalized the EuroHPC Joint Undertaking (JU): a concerted HPC effort (comprising 32 participating states at c Read more…

By Oliver Peckham

Google Hires Longtime Intel Exec Bill Magro to Lead HPC Strategy

September 18, 2020

In a sign of the times, another prominent HPCer has made a move to a hyperscaler. Longtime Intel executive Bill Magro joined Google as chief technologist for hi Read more…

By Tiffany Trader

Future of Fintech on Display at HPC + AI Wall Street

September 17, 2020

Those who tuned in for Tuesday's HPC + AI Wall Street event got a peak at the future of fintech and lively discussion of topics like blockchain, AI for risk man Read more…

By Alex Woodie, Tiffany Trader and Todd R. Weiss

Supercomputer-Powered Research Uncovers Signs of ‘Bradykinin Storm’ That May Explain COVID-19 Symptoms

July 28, 2020

Doctors and medical researchers have struggled to pinpoint – let alone explain – the deluge of symptoms induced by COVID-19 infections in patients, and what Read more…

By Oliver Peckham

Nvidia Said to Be Close on Arm Deal

August 3, 2020

GPU leader Nvidia Corp. is in talks to buy U.K. chip designer Arm from parent company Softbank, according to several reports over the weekend. If consummated Read more…

By George Leopold

10nm, 7nm, 5nm…. Should the Chip Nanometer Metric Be Replaced?

June 1, 2020

The biggest cool factor in server chips is the nanometer. AMD beating Intel to a CPU built on a 7nm process node* – with 5nm and 3nm on the way – has been i Read more…

By Doug Black

Intel’s 7nm Slip Raises Questions About Ponte Vecchio GPU, Aurora Supercomputer

July 30, 2020

During its second-quarter earnings call, Intel announced a one-year delay of its 7nm process technology, which it says it will create an approximate six-month shift for its CPU product timing relative to prior expectations. The primary issue is a defect mode in the 7nm process that resulted in yield degradation... Read more…

By Tiffany Trader

Google Hires Longtime Intel Exec Bill Magro to Lead HPC Strategy

September 18, 2020

In a sign of the times, another prominent HPCer has made a move to a hyperscaler. Longtime Intel executive Bill Magro joined Google as chief technologist for hi Read more…

By Tiffany Trader

HPE Keeps Cray Brand Promise, Reveals HPE Cray Supercomputing Line

August 4, 2020

The HPC community, ever-affectionate toward Cray and its eponymous founder, can breathe a (virtual) sigh of relief. The Cray brand will live on, encompassing th Read more…

By Tiffany Trader

Neocortex Will Be First-of-Its-Kind 800,000-Core AI Supercomputer

June 9, 2020

Pittsburgh Supercomputing Center (PSC - a joint research organization of Carnegie Mellon University and the University of Pittsburgh) has won a $5 million award Read more…

By Tiffany Trader

European Commission Declares €8 Billion Investment in Supercomputing

September 18, 2020

Just under two years ago, the European Commission formalized the EuroHPC Joint Undertaking (JU): a concerted HPC effort (comprising 32 participating states at c Read more…

By Oliver Peckham

Leading Solution Providers

Contributors

Oracle Cloud Infrastructure Powers Fugaku’s Storage, Scores IO500 Win

August 28, 2020

In June, RIKEN shook the supercomputing world with its Arm-based, Fujitsu-built juggernaut: Fugaku. The system, which weighs in at 415.5 Linpack petaflops, topp Read more…

By Oliver Peckham

Google Cloud Debuts 16-GPU Ampere A100 Instances

July 7, 2020

On the heels of the Nvidia’s Ampere A100 GPU launch in May, Google Cloud is announcing alpha availability of the A100 “Accelerator Optimized” VM A2 instance family on Google Compute Engine. The instances are powered by the HGX A100 16-GPU platform, which combines two HGX A100 8-GPU baseboards using... Read more…

By Tiffany Trader

DOD Orders Two AI-Focused Supercomputers from Liqid

August 24, 2020

The U.S. Department of Defense is making a big investment in data analytics and AI computing with the procurement of two HPC systems that will provide the High Read more…

By Tiffany Trader

Supercomputer Modeling Tests How COVID-19 Spreads in Grocery Stores

April 8, 2020

In the COVID-19 era, many people are treating simple activities like getting gas or groceries with caution as they try to heed social distancing mandates and protect their own health. Still, significant uncertainty surrounds the relative risk of different activities, and conflicting information is prevalent. A team of Finnish researchers set out to address some of these uncertainties by... Read more…

By Oliver Peckham

Microsoft Azure Adds A100 GPU Instances for ‘Supercomputer-Class AI’ in the Cloud

August 19, 2020

Microsoft Azure continues to infuse its cloud platform with HPC- and AI-directed technologies. Today the cloud services purveyor announced a new virtual machine Read more…

By Tiffany Trader

Japan’s Fugaku Tops Global Supercomputing Rankings

June 22, 2020

A new Top500 champ was unveiled today. Supercomputer Fugaku, the pride of Japan and the namesake of Mount Fuji, vaulted to the top of the 55th edition of the To Read more…

By Tiffany Trader

Joliot-Curie Supercomputer Used to Build First Full, High-Fidelity Aircraft Engine Simulation

July 14, 2020

When industrial designers plan the design of a new element of a vehicle’s propulsion or exterior, they typically use fluid dynamics to optimize airflow and in Read more…

By Oliver Peckham

Intel Speeds NAMD by 1.8x: Saves Xeon Processor Users Millions of Compute Hours

August 12, 2020

Potentially saving datacenters millions of CPU node hours, Intel and the University of Illinois at Urbana–Champaign (UIUC) have collaborated to develop AVX-512 optimizations for the NAMD scalable molecular dynamics code. These optimizations will be incorporated into release 2.15 with patches available for earlier versions. Read more…

By Rob Farber

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