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.