DoE Awards 24 ASCR Leadership Computing Challenge (ALCC) Projects

By HPCwire Staff

June 28, 2017

On Monday, the U.S. Department of Energy’s (DOE’s) ASCR Leadership Computing Challenge (ALCC) program awarded 24 projects a total of 2.1 billion core-hours at the Argonne Leadership Computing Facility (ALCF). The one-year awards are set to begin July 1. Several of the 2017-2018 ALCC projects will be the first to run on the ALCF’s new 9.65 petaflops Intel-Cray supercomputer, Theta, when it opens to the full user community July 1.

Theta, of course, is based on the second-generation of the Intel Xeon Phi processor (more detailed system description at the end of article). Projects in the Theta Early Science Program performed science simulations on the system, but those runs served a dual purpose of helping to stress-test and evaluate Theta’s capabilities. The new projects are focused on the science research.

Each year, the ALCC program selects projects with an emphasis on high-risk, high-payoff simulations in areas directly related to the DOE mission and for broadening the community of researchers capable of using leadership computing resources. In 2017, the ALCC program awarded 40 projects totaling 4.1 billion core-hours across the three ASCR facilities. More 2017/2018 projects may be announced at a later date as ALCC proposals can be submitted throughout the year.

For one of the 2017-2018 ALCC projects, Argonne physicist Katrin Heitmann will use ALCF computing resources to continue work to build a suite of multi-wavelength, multi-cosmology synthetic sky maps. The left image (red) shows the baryonic density in a large cluster of galaxies, while the right image (blue) shows the dark matter content in the same cluster.

The 24 projects awarded time at the ALCF are noted below. Some projects received additional computing time at OLCF and/or NERSC.

  • Thomas Blum from University of Connecticut received 220 million core-hours for “Hadronic Light-by-Light Scattering and Vacuum Polarization Contributions to the Muon Anomalous Magnetic Moment from Lattice QCD with Chiral Fermions.”
  • Choong-Seock Chang from Princeton Plasma Physics Laboratory received 80 million core-hours for “High-Fidelity Gyrokinetic Study of Divertor Heat-Flux Width and Pedestal Structure.”
  • John T. Childers from Argonne National Laboratory received 58 million core-hours for “Simulating Particle Interactions and the Resulting Detector Response at the LHC and Fermilab.”
  • Frederico Fiuza from SLAC National Accelerator Laboratory received 50 million core-hours for “Studying Astrophysical Particle Acceleration in HED Plasmas.”
  • Marco Govoni from Argonne National Laboratory received 60 million core- hours for “Computational Engineering of Electron-Vibration Coupling Mechanisms.”
  • William Gustafson from Pacific Northwest National Laboratory received 74 million core-hours for “Large-Eddy Simulation Component of the Mesoscale Convective System Climate Model Development and Validation (CMDV-MCS) Project.”
  • Olle Heinonen from Argonne National Laboratory received 5 million core-hours for “Quantum Monte Carlo Computations of Chemical Systems.”
  • Katrin Heitmann from Argonne National Laboratory received 40 million core-hours for “Extreme-Scale Simulations for Multi-Wavelength Cosmology Investigations.”
  • Phay Hofrom Argonne National Laboratory received 68 million core-hours for “Imaging Transient Structures in Heterogeneous Nanoclusters in Intense X-ray Pulses.”
  • George Karniadakis from Brown University received 20 million core-hours for “Multiscale Simulations of Hematological Disorders.”
  • Daniel Livescu from Los Alamos National Laboratory received 60 million core-hours for “Non-Boussinesq Effects on Buoyancy-Driven Variable Density Turbulence.”
  • Alessandro Lovato from Argonne National Laboratory received 35 million core-hours for “Nuclear Spectra with Chiral Forces.”
  • Elia Merzari from Argonne National Laboratory received 85 million core-hours for “High-Fidelity Numerical Simulation of Wire-Wrapped Fuel Assemblies.”
  • Paul Messina from Argonne National Laboratory received 530 million core-hours for “ECP Consortium for Exascale Computing.”
  • Aleksandr Obabko from Argonne National Laboratory received 50 million core-hours for “Numerical Simulation of Turbulent Flows in Advanced Steam Generators – Year 3.”
  • Mark Petersen from Los Alamos National Laboratory received 25 million core-hours for “Understanding the Role of Ice Shelf-Ocean Interactions in a Changing Global Climate.”
  • Benoit Roux from the University of Chicago received 80 million core-hours for “Protein-Protein Recognition and HPC Infrastructure.”
  • Emily Shemon from Argonne National Laboratory received 44 million core-hours for “Elimination of Modeling Uncertainties through High-Fidelity Multiphysics Simulation to Improve Nuclear Reactor Safety and Economics.”
  • Ilja Siepmann from University of Minnesota received 130 million core-hours for “Predictive Modeling of Functional Nanoporous Materials, Nanoparticle Assembly, and Reactive Systems.”
  • Tjerk Straatsma from Oak Ridge National Laboratory received 20 million core-hours for “Portable Application Development for Next-Generation Supercomputer Architectures.”
  • Sergey Syritsyn from RIKEN BNL Research Center received 135 million core-hours for “Nucleon Structure and Electric Dipole Moments with Physical Chirally-Symmetric Quarks.”
  • Sergey Varganov from University of Nevada, Reno received 42 million core-hours for “Spin-Forbidden Catalysis on Metal-Sulfur Proteins.”
  • Robert Voigt from Leidos received 110 million core-hours for “Demonstration of the Scalability of Programming Environments By Simulating Multi-Scale Applications.”
  • Brian Wirth from Oak Ridge National Laboratory received 98 million core-hours for “Modeling Helium-Hydrogen Plasma Mediated Tungsten Surface Response to Predict Fusion Plasma Facing Component Performance.”

Managed by the Advanced Scientific Computing Research (ASCR) program within DOE’s Office of Science, the ALCC program provides awards of computing time that range from a few million to several-hundred-million core-hours to researchers from industry, academia, and government agencies. These allocations support work at the ALCF, the Oak Ridge Leadership Computing Facility (OLCF), and the National Energy Research Scientific Computing Center (NERSC), all DOE Office of Science User Facilities.

Theta Description (from ALCF web site):
Designed in collaboration with Intel and Cray, Theta will serve as a stepping stone to the ALCF’s next leadership-class supercomputer, Aurora. Both Theta and Aurora will be massively parallel, many-core systems based on Intel processors and interconnect technology, a new memory architecture, and a Lustre-based parallel file system, all integrated by Cray’s HPC software stack.

Theta is equipped with 3,624 nodes, each containing a 64 core processor with 16 gigabytes (GB) of high-bandwidth in-package memory (MCDRAM), 192 GB of DDR4 RAM, and a 128 GB SSD. Theta’s initial parallel file system is 10 petabytes.

Theta has several features that will allow scientific codes to achieve higher performance, including:

  • High-bandwidth MCDRAM (300 – 450 GB/s depending on memory and cluster mode), with many applications running entirely in MCDRAM or using it effectively with DDR4 RAM
  • Improved single thread performance
  • Potentially much better vectorization with AVX-512
  • Large total memory per node (208 GB on Theta vs. 16 GB on Mira)

Theta System Configuration

  • 20 racks
  • 3,624 nodes
  • 231,935 cores
  • 56 TB MCDRAM
  • 679 TB DDR4
  • 453 TB SSD
  • Aries interconnect with Dragonfly configuration
  • 10 PB Lustre file system
  • Peak performance of 9.65 petaflops

Link to ALCF Article: http://www.alcf.anl.gov/articles/alcc-program-awards-alcf-computing-time-24-projects

Link to ASCR Leadership Computing Challenge: https://science.energy.gov/ascr/facilities/accessing-ascr-facilities/alcc/alcc-current-awards/

Source: Argonne Leadership Computing Facility

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!

NSF Project Sets Up First Machine Learning Cyberinfrastructure – CHASE-CI

July 25, 2017

Earlier this month, the National Science Foundation issued a $1 million grant to Larry Smarr, director of Calit2, and a group of his colleagues to create a community infrastructure in support of machine learning research Read more…

By John Russell

DARPA Continues Investment in Post-Moore’s Technologies

July 24, 2017

The U.S. military long ago ceded dominance in electronics innovation to Silicon Valley, the DoD-backed powerhouse that has driven microelectronic generation for decades. With Moore's Law clearly running out of steam, the Read more…

By George Leopold

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in 2017 with scale-up production for enterprise datacenters and Read more…

By Tiffany Trader

HPE Extreme Performance Solutions

HPE Servers Deliver High Performance Remote Visualization

Whether generating seismic simulations, locating new productive oil reservoirs, or constructing complex models of the earth’s subsurface, energy, oil, and gas (EO&G) is a highly data-driven industry. Read more…

Trinity Supercomputer’s Haswell and KNL Partitions Are Merged

July 19, 2017

Trinity supercomputer’s two partitions – one based on Intel Xeon Haswell processors and the other on Xeon Phi Knights Landing – have been fully integrated are now available for use on classified work in the Nationa Read more…

By HPCwire Staff

NSF Project Sets Up First Machine Learning Cyberinfrastructure – CHASE-CI

July 25, 2017

Earlier this month, the National Science Foundation issued a $1 million grant to Larry Smarr, director of Calit2, and a group of his colleagues to create a comm Read more…

By John Russell

Graphcore Readies Launch of 16nm Colossus-IPU Chip

July 20, 2017

A second $30 million funding round for U.K. AI chip developer Graphcore sets up the company to go to market with its “intelligent processing unit” (IPU) in Read more…

By Tiffany Trader

Fujitsu Continues HPC, AI Push

July 19, 2017

Summer is well under way, but the so-called summertime slowdown, linked with hot temperatures and longer vacations, does not seem to have impacted Fujitsu's out Read more…

By Tiffany Trader

Researchers Use DNA to Store and Retrieve Digital Movie

July 18, 2017

From abacus to pencil and paper to semiconductor chips, the technology of computing has always been an ever-changing target. The human brain is probably the com Read more…

By John Russell

The Exascale FY18 Budget – The Next Step

July 17, 2017

On July 12, 2017, the U.S. federal budget for its Exascale Computing Initiative (ECI) took its next step forward. On that day, the full Appropriations Committee Read more…

By Alex R. Larzelere

Women in HPC Luncheon Shines Light on Female-Friendly Hiring Practices

July 13, 2017

The second annual Women in HPC luncheon was held on June 20, 2017, during the International Supercomputing Conference in Frankfurt, Germany. The luncheon provid Read more…

By Tiffany Trader

Satellite Advances, NSF Computation Power Rapid Mapping of Earth’s Surface

July 13, 2017

New satellite technologies have completely changed the game in mapping and geographical data gathering, reducing costs and placing a new emphasis on time series Read more…

By Ken Chiacchia and Tiffany Jolley

Intel Skylake: Xeon Goes from Chip to Platform

July 13, 2017

With yesterday’s New York unveiling of the new “Skylake” Xeon Scalable processors, Intel made multiple runs at multiple competitive threats and strategic Read more…

By Doug Black

Google Pulls Back the Covers on Its First Machine Learning Chip

April 6, 2017

This week Google released a report detailing the design and performance characteristics of the Tensor Processing Unit (TPU), its custom ASIC for the inference Read more…

By Tiffany Trader

Nvidia Responds to Google TPU Benchmarking

April 10, 2017

Nvidia highlights strengths of its newest GPU silicon in response to Google's report on the performance and energy advantages of its custom tensor processor. Read more…

By Tiffany Trader

Quantum Bits: D-Wave and VW; Google Quantum Lab; IBM Expands Access

March 21, 2017

For a technology that’s usually characterized as far off and in a distant galaxy, quantum computing has been steadily picking up steam. Just how close real-wo Read more…

By John Russell

HPC Compiler Company PathScale Seeks Life Raft

March 23, 2017

HPCwire has learned that HPC compiler company PathScale has fallen on difficult times and is asking the community for help or actively seeking a buyer for its a Read more…

By Tiffany Trader

Trump Budget Targets NIH, DOE, and EPA; No Mention of NSF

March 16, 2017

President Trump’s proposed U.S. fiscal 2018 budget issued today sharply cuts science spending while bolstering military spending as he promised during the cam Read more…

By John Russell

CPU-based Visualization Positions for Exascale Supercomputing

March 16, 2017

In this contributed perspective piece, Intel’s Jim Jeffers makes the case that CPU-based visualization is now widely adopted and as such is no longer a contrarian view, but is rather an exascale requirement. Read more…

By Jim Jeffers, Principal Engineer and Engineering Leader, Intel

Nvidia’s Mammoth Volta GPU Aims High for AI, HPC

May 10, 2017

At Nvidia's GPU Technology Conference (GTC17) in San Jose, Calif., this morning, CEO Jensen Huang announced the company's much-anticipated Volta architecture a Read more…

By Tiffany Trader

Facebook Open Sources Caffe2; Nvidia, Intel Rush to Optimize

April 18, 2017

From its F8 developer conference in San Jose, Calif., today, Facebook announced Caffe2, a new open-source, cross-platform framework for deep learning. Caffe2 is the successor to Caffe, the deep learning framework developed by Berkeley AI Research and community contributors. Read more…

By Tiffany Trader

Leading Solution Providers

How ‘Knights Mill’ Gets Its Deep Learning Flops

June 22, 2017

Intel, the subject of much speculation regarding the delayed, rewritten or potentially canceled “Aurora” contract (the Argonne Lab part of the CORAL “ Read more…

By Tiffany Trader

Reinders: “AVX-512 May Be a Hidden Gem” in Intel Xeon Scalable Processors

June 29, 2017

Imagine if we could use vector processing on something other than just floating point problems.  Today, GPUs and CPUs work tirelessly to accelerate algorithms Read more…

By James Reinders

Russian Researchers Claim First Quantum-Safe Blockchain

May 25, 2017

The Russian Quantum Center today announced it has overcome the threat of quantum cryptography by creating the first quantum-safe blockchain, securing cryptocurrencies like Bitcoin, along with classified government communications and other sensitive digital transfers. Read more…

By Doug Black

MIT Mathematician Spins Up 220,000-Core Google Compute Cluster

April 21, 2017

On Thursday, Google announced that MIT math professor and computational number theorist Andrew V. Sutherland had set a record for the largest Google Compute Engine (GCE) job. Sutherland ran the massive mathematics workload on 220,000 GCE cores using preemptible virtual machine instances. Read more…

By Tiffany Trader

Google Debuts TPU v2 and will Add to Google Cloud

May 25, 2017

Not long after stirring attention in the deep learning/AI community by revealing the details of its Tensor Processing Unit (TPU), Google last week announced the Read more…

By John Russell

Groq This: New AI Chips to Give GPUs a Run for Deep Learning Money

April 24, 2017

CPUs and GPUs, move over. Thanks to recent revelations surrounding Google’s new Tensor Processing Unit (TPU), the computing world appears to be on the cusp of Read more…

By Alex Woodie

Six Exascale PathForward Vendors Selected; DoE Providing $258M

June 15, 2017

The much-anticipated PathForward awards for hardware R&D in support of the Exascale Computing Project were announced today with six vendors selected – AMD Read more…

By John Russell

Top500 Results: Latest List Trends and What’s in Store

June 19, 2017

Greetings from Frankfurt and the 2017 International Supercomputing Conference where the latest Top500 list has just been revealed. Although there were no major Read more…

By Tiffany Trader

  • arrow
  • Click Here for More Headlines
  • arrow
Share This