‘Unify’ Delivers Fast I/O Performance over Distributed Storage
LNL’s Center for Applied Scientific Computing (CASC) and Livermore Computing divisions recently joined forces to tackle performance drag caused by input/output (I/O) workloads.
DOE Machines Dominate Record-Breaking SC18
They say everything’s bigger in Texas, and the 30th anniversary of the annual International Conference of High Performance Computing, Networking, Storage and Analysis (SC18), held Nov. 11-16 in Dallas, did not disappoint. The conference, which broke records for attendees and exhibitors, saw Lawrence Livermore National Laboratory (LLNL) once again make its presence felt on the world’s biggest HPC stage.
Call for HPC for Energy Innovation proposals
The Department of Energy's (DOE) High Performance Computing for Energy Innovation (HPC4EI) Initiative has issued its first joint solicitation for the High Performance Computing for Manufacturing Program (HPC4Mfg) and the High Performance Computing for Materials Program (HPC4Mtls).
The call for proposals seeks American companies interested in collaborating with DOE’s national laboratories on one-year projects to apply high-performance computing (HPC) modeling, simulation and data analysis to key challenges in U.S. manufacturing and material development.
Sierra honored with Top Supercomputing Achievement from HPCwire
On November 13, 2018, the high performance computing publication HPCwire awarded Lawrence Livermore Laboratory (LLNL) and Oak Ridge National Laboratory (ORNL) their Editors’ Choice and Readers’ Choice Awards for the Top Supercomputing Achievement of 2018, recognizing the launch of the world’s two fastest computing systems.
Representatives from LLNL and ORNL accepted the awards for Sierra and Summit at the 2018 International Conference for High Performance Computing, Networking, Storage and Analysis (SC18) conference in Dallas, Texas.
Corona: New Computing Cluster Coming to Livermore
Lawrence Livermore National Laboratory, in partnership with Penguin Computing, AMD and Mellanox Technologies, will accept delivery of Corona, a new unclassified high-performance computing (HPC) cluster that will provide unique capabilities for Lab researchers and industry partners to explore data science, machine learning and big data analytics.
Sierra reaches higher altitudes, takes No. 2 spot on list of world's fastest supercomputers
Sierra, Lawrence Livermore National Laboratory’s (LLNL) newest supercomputer, rose to second place on the list of the world’s fastest computing systems, TOP500 List representatives announced November 12, 2018, at the International Conference for High Performance Computing, Networking, Storage and Analysis conference (SC18) in Dallas.
Lawrence Livermore unveils NNSA’s Sierra, world’s third fastest supercomputer
Sierra, one of the fastest supercomputers in the world, will serve the National Nuclear Security Administration’s three nuclear security laboratories, providing high-fidelity simulations in support of NNSA’s core mission of ensuring the safety, security and effectiveness of the nation’s nuclear stockpile. [VIDEO]
LLNL/LBNL team named as Gordon Bell Award finalists
A team of scientists and physicists headed by LLNL and LBNL has been named as one of six finalists for the prestigious 2018 Gordon Bell Award, one of the world’s top honors in supercomputing. They were supported in this work by the Sierra Integration Team of Livermore Computing.
LLNL applies HPC to improve understanding of traumatic brain injury
A multi-institutional team of scientists and engineers plan to simultaneously challenge DOE’s supercomputing resources, advance artificial intelligence capabilities and enable a precision medicine approach for TBI.
Supercomputers: Life and Death of a Neutron
The team participating in the latest study developed a way to improve their calculations of gA using an unconventional approach and supercomputers at ORNL and LLNL.
Hardware and Integration Update
In an audio discussion, HI Director Terri Quinn (Lawrence Livermore National Laboratory) describes how HI performs its mission and what its top goals are.
Leading a Revolution in Design
LLNL researchers are using HPC codes and systems to transform how engineers create complex parts with additive manufacturing technologies.
New exascale system for earth simulation
After four years of development, the Energy Exascale Earth System Model (E3SM) will be released to the broader scientific community this month.
DOE announces request for proposal for LLNL's next-generation exascale supercomputer
DOE Secretary Rick Perry announces the release of a request for proposals for development of new exascale supercomputers, including LLNL's El Capitan.
Machine learning models could save lives through personalized sepsis diagnostics
Machine learning models developed at LLNL in conjunction with Kaiser Permanente can more accurately characterize a patient's progression through the stages of sepsis.
LLNL/U.K. officials ink agreement to collaborate on HPC research, ensure competitiveness
Lawrence Livermore National Laboratory (LLNL) and the United Kingdom’s governing body for scientific research on Monday announced the signing of a new three-year agreement aimed at improving U.S. and U.K. industries through high performance computing, promoting research collaborations and boosting economic competitiveness in the two countries.
DOE's HPC4Manufacturing program seeks industry proposals for energy advances
The Department of Energy (DOE (link is external)) on Feb. 1 announced up to $3 million will be available to U.S. manufacturers for public/private projects aimed at applying high performance computing to industry challenges for the advancement of energy innovation.
DOE announces funding for new HPC4Manufacturing industry projects
The Department of Energy’s (DOE) Advanced Manufacturing Office (AMO) today announced the funding of $1.87 million for seven new industry projects under an ongoing initiative designed to utilize DOE’s high-performance computing (HPC) resources and expertise to advance U.S. manufacturing and clean-energy technologies
DOE announces first awardees for new HPC4Materials for 'Severe Environments'
The Department of Energy’s (DOE) Office of Fossil Energy (FE) today announced the funding of $450,000 for the first two private-public partnerships under a brand-new initiative aimed at discovering, designing and scaling up production of novel materials for severe environments.
Lab-led HPC for Manufacturing project wins 'Innovation Excellence' award at SC17
An HPC for Manufacturing project aimed at saving time and money for paper product manufacturers earned an HPC Innovation Excellence Award at the 2017 SuperComputing Conference (SC17 (link is external)) in Denver on Nov. 14.
Siting the Sierra Supercomputer
Work is moving fast and furious in the Livermore Computing Complex at Lawrence Livermore National Laboratory (LLNL), where siting and installation for Sierra, the Lab’s next advanced technology high-performance supercomputer, is kicking into high gear.
HPC Wire Award Winners Use LC Resources
Lawrence Livermore National Laboratory (LLNL) researchers won two HPCwire Editor’s Choice awards for their work in applying high-performance computing (HPC) to solve complex challenges. The awards were presented at SC17 in Denver.
Sudden Changes at Ultra-High Pressure
Livermore physicist Jon Belof and a team of physicists, engineers, and computational scientists are subjecting matter to extreme conditions and simulating experiments with high-performance computers to study phase transitions at ultrahigh pressures.
Exascale in motion on earthquake risks
Assessing large magnitude (greater than 6 on the Richter scale) earthquake hazards on a regional (up to 100 kilometers) scale takes big machines. To resolve the frequencies important to engineering analysis of the built environment (up to 10 Hz or higher), numerical simulations of earthquake motions must be done on today's most powerful computers.
A quicker picker upper? Lab researchers eye papermaking improvements through HPC
Paper-making research, performed for an HPC4Manufacturing (HPC4Mfg) project with the papermaking giant, Proctor and Gamble, resulted in the largest multi-scale model of paper products to date, simulating thousands of fibers in ParaDyn with resolution down to the micron scale.
Transforming electrical grid resiliency with distributed energy resources
Normally, in a large-scale emergency, distributed energy resources (DERs) -- such as the energy produced by solar panels at customers' homes -- are shut off to protect the greater electrical grid. But a new project headed by Lawrence Livermore National Laboratory (LLNL) aims to utilize these resources for restoration and recovery operations, boosting the grid's ability to bounce back from a blackout or cascading outage, and potentially reducing customer reconnection time to a matter of hours.
Metamaterials: Using Supercomputers to Mold Electromagnetics
Sandia researchers modeled the electromagnetics of complex systems on two DOE supercomputers that can solve tens of millions of problems in hours: Trinity (LANL) and Sequoia (LLNL). This research has led to impressive advances in metamaterials research that will boost the substances’ flexibility, efficiency, adaptability and other properties.
DOE's HPC4Mfg seeks industry proposals to advance energy tech
The U.S. Department of Energy's High Performance Computing for Manufacturing Program, designed to spur the use of national lab supercomputing resources and expertise to advance innovation in energy efficient manufacturing, is seeking a new round of proposals from industry to compete for $3 million.
Accelerating Simulation Software with Graphics Processing Units
To address the challenges of transitioning to the next generation of high performance computing (HPC), Livermore is bringing together designers of hardware, software, and applications to rethink and redesign their HPC elements and interactions for the exascale era (i.e., systems capable of a billion billion floating point operations per second or 1018 flops).
Preparing for Sierra, LLNL's next state-of-the-art supercomputer
In late 2017, IBM will begin delivery of Sierra, the latest in a series of leading-edge Advanced Simulation and Computing (ASC) Program supercomputers. Delivering peak speeds of up to 150 petaflops (1015 floating-point operations per second), Sierra is projected to provide at least four to six times the performance of Sequoia, Livermore’s current flagship supercomputer. To run efficiently on Sierra, applications must be modified to achieve a level of task division and coordination well beyond what previous systems demanded.
Computational innovation boosts manufacturing
The DOE's High Performance Computing for Manufacturing (HPC4Mfg) Program aims to advance clean-energy technologies, increase the efficiency of manufacturing processes, accelerate innovation, reduce the time it takes to bring new technologies to market, and improve the quality of products. The program unites the world-class high-performance computing (HPC) resources and expertise of Lawrence Livermore and other national laboratories with U.S. manufacturers to deliver solutions that could revolutionize the manufacturing industry.
Two LLNL CTS-1 cluster systems named to TOP100 supercomputer list
Two Penguin Computing systems installed at Lawrence Livermore National Laboratory, Quartz and Jade, were ranked 41st and 42nd on the TOP100 list of the world's fastest supercomputers. The announcement came during the SC16 supercomputing conference, held November 13–18, 2016, in Salt Lake City, Utah. The systems were procured under NNSA’s Tri-Laboratory Commodity Technology Systems program, or CTS-1, to bolster computing for national security at Los Alamos, Sandia, and Lawrence Livermore national laboratories.
High-Performance Computing Takes Aim at Cancer
A historic partnership between the Department of Energy (DOE) and the National Cancer Institute (NCI) is applying the formidable computing resources at Livermore and other DOE national laboratories to advance cancer research and treatment. The effort will help researchers and physicians better understand the complexity of cancer, choose the best treatment options for every patient, and reveal possible patterns hidden in vast patient and experimental data sets.
LLNL team’s molecular dynamics code among Gordon Bell Prize finalists
A Lawrence Livermore team's dramatically improved first-principles molecular dynamics code that promises to enable new computer simulation applications was one of the finalists for the 2016 Gordon Bell Prize. The team presented its ground-breaking project at the 2016 supercomputing conference (SC16) held in Salt Lake City, Utah, November 12-18, 2016. "Modeling Dilute Solutions using First-Principles Molecular Dynamics: Computing more than a Million Atoms with over a Million Cores," was the title of the Livermore team's submission for the competition. Using a robust new algorithm, the Livermore team has developed an O(N)complexity solver for electronic structure problems with fully controllable numerical error.
Lawrence Livermore to lead "co-design" center for exascale computing ecosystem
Lawrence Livermore National Laboratory (LLNL) was one of four national labs selected to lead a "co-design" center by the Department of Energy's Exascale Computing Project (link is external) (ECP) as part of a four-year, $48 million funding award. Each co-design center will receive $3 million annually. LLNL's Tzanio Kolev is the director of the newly established ECP co-design Center for Efficient Exascale Discretizations (CEED). "Co-design" refers to the collaborative and interdisciplinary engineering process for developing capable exascale systems.
Scientists selected to lead Exascale Computing Project software development
Lawrence Livermore scientists are among those who have been awarded funding to develop software for the Department of Energy's Exascale Computing Project (link is external) (ECP). The ECP selected 35 software development proposals representing 25 research and academic organizations; Livermore computer scientists will lead six of the projects and are collaborators on another seven. The awards, totaling $34 million for the first year of funding, cover many components of the software stack for exascale systems.
DOE HPC4Mfg Program to help jumpstart clean energy technologies
A U.S. Department of Energy (DOE) program designed to spur the use of high performance supercomputers to advance U.S. manufacturing has funded 13 new industry projects for a total of $3.8 million. Experts at Lawrence Livermore and other DOE national laboratories will work directly with manufacturing industry members to teach them how to adopt or advance their use of high performance computing (HPC) to address manufacturing challenges with a goal of increasing energy efficiency, reducing environmental impacts, and advancing clean energy technologies.
Energy Department to invest $16 million to accelerate computer design of materials
The Department of Energy will invest $16 million over the next four years to accelerate the design of new materials through the use of supercomputers. Two four-year projects will take advantage of superfast computers at DOE national laboratories by developing software to design fundamentally new functional materials destined to revolutionize applications in alternative and renewable energy, electronics, and a wide range of other fields.
DOE funds "HPC for manufacturing" projects
Lawrence Livermore National Laboratory (LLNL) and partners announced 10 new industry projects to advance manufacturing using high-performance computing (HPC) under a DOE program. Industry projects ranging from improved turbine blades for aircraft engines and reduced heat loss in electronics to waste reduction in paper manufacturing and improved fiberglass production are among the first to be selected for funding and partnerships with national labs under the U.S. Department of Energy's (DOE) High Performance Computing for Manufacturing (HPC4Mfg) Program. LLNL leads the program and partners with Lawrence Berkeley and Oak Ridge National Laboratories (LBNL and ORNL).
Each of the 10 Phase I projects will be funded at approximately $300,000 for a total of just under $3 million. Selected companies will partner with national labs, which will provide expertise in and access to high performance computing systems aimed at high-impact challenges. The Advanced Manufacturing Office (AMO) within DOE's Office of Energy Efficiency and Renewable Energy (EERE) created this program to advance clean energy technologies, increase the efficiency of manufacturing processes, accelerate innovation, shorten the time it takes to bring new technologies to market, and improve the quality of products.
Sequoia enables Gordon Bell prize-winning simulation
The full power of Lawrence Livermore’s Sequoia supercomputer played a key role in the Earth mantle convection simulation that won the 2015 Gordon Bell Prize, announced at SC15 Supercomputing Conference. LLNL’s onsite IBM analyst Roy Musselman and Livermore Computing’s Scott Futral were acknowledged for their contributions to the project in carrying out the Sequoia calculations.
Published in Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis. Earth simulation images courtesy of J. Rudi et al.
Sequoia simulation unveils whole-body blood flow
Livermore scientists and collaborators accomplish three-dimensional, high-resolution simulations of whole-body blood flow on 1,572,864 cores of Blue Gene/Q, also known as Sequoia. Blood flow simulations of hemodynamics in the systemic arterial tree can potentially have a tremendous impact on the diagnosis and treatment of patients suffering from vascular disease.
LLNL and Rensselaer Polytechnic Institute to promote industry adoption of supercomputing
Lawrence Livermore National Laboratory (LLNL) and the Rensselaer Polytechnic Institute (RFI) will combine decades of expertise to help American industry and businesses expand use of high performance computing (HPC) under a signed memorandum of understanding. Livermore and RPI will look to bridge the gap between the levels of computing conducted at their institutions and the typical levels found in industry. Scientific and engineering software applications capable of running on HPC platforms are a prime area of interest.
LLNL trained a neural network with 15 billion parameters
We present a work-in-progress snapshot of learning with a 15 billion parameter deep learning network on HPC architectures applied to the largest publicly available natural image and video dataset released to-date. Recent advancements in unsupervised deep neural networks suggest that scaling up such networks in both model and training dataset size can yield significant improvements in the learning of concepts at the highest layers. We train our three-layer deep neural network on the Yahoo! Flickr Creative Commons 100M dataset.