“Supercomputers are key to the Cancer Moonshot. These exceptionally high-powered machines have the potential to greatly accelerate the development of cancer therapies by finding patterns in massive datasets too large for human analysis. Supercomputers can help us better understand the complexity of cancer development, identify novel and effective treatments, and help elucidate patterns in vast and complex data sets that advance our understanding of cancer.”
Argonne Distinguished Fellow Paul Messina has been tapped to lead the Exascale Computing Project, heading a team with representation from the six major participating DOE national laboratories: Argonne, Los Alamos, Lawrence Berkeley, Lawrence Livermore, Oak Ridge and Sandia. The project will focus its efforts on four areas: Applications, Software, Hardware, and Exascale Systems.
Any performance improvements that could be wrung out of supercomputers by adding more power have long been exhausted. New supercomputers demand new options that will give scientists a sleek, efficient partner in making new discoveries such as the new supercomputer called Summit that’s being developed and is to arrive at Oak Ridge National Lab in the next couple of years. “If necessity is the mother of invention, we’ll have some inventions happening soon,” says deputy division director of Argonne Leadership Computing Facility Susan Coghlan.
Berkeley Lab recently hosted the fourth annual X-Stack PI event, where X-Stack researchers, facilities teams, application scientists, and developers from national labs, universities, and industry met to share the latest developments in X-Stack application codes. “X-Stack was launched in 2012 by the U.S. Department of Energy’s Advanced Scientific Computing Research program to support the development of exascale software tools, including programming languages and libraries, compilers and runtime systems, that will help programmers handle massive parallelism, data movement, heterogeneity and failures as the scientific community transitions to the next generation of extreme-scale supercomputers.”
In this video from the HPC User Forum in Tucson, Saul Gonzalez Martirena from NSF provides an update on the NSCI initiative. “As a coordinated research, development, and deployment strategy, NSCI will draw on the strengths of departments and agencies to move the Federal government into a position that sharpens, develops, and streamlines a wide range of new 21st century applications. It is designed to advance core technologies to solve difficult computational problems and foster increased use of the new capabilities in the public and private sectors.”
The DoE INCITE program is now accepting proposals for high-impact, computationally intensive research campaigns in a broad array of science, engineering and computer science domains.
Today the AweSim program at the Ohio Supercomputer Center announced it has been selected to develop one of 10 national industry projects under the DOE High Performance Computing for Manufacturing (HPC4Mfg) program. We are pleased to be working with AweSim to develop a cloud-based 3D platform for our E-Weld Predictor tool,” said Tom McGaughy, EWI Director of Technology. “This new app will increase the accuracy of weld distortion and residual stress predictions and broaden access for manufacturers to use this advanced simulation tool to reduce rework and improve first-time quality.”
Today GE Global Research announced that it has been awarded two projects under the U.S. Department of Energy’s (DOE) High Performance Computing for Manufacturing (HPC4Mfg) Program. Teams of Global Research experts will work with teams at Oak Ridge and Lawrence Livermore National Labs on some of the world’s most powerful supercomputers to improve 3D printing processes and explore new concepts for higher jet engine efficiency.
Today U.S. Department of Energy’s announced 10 new High Performance Computing for Manufacturing (HPC4Mfg) projects. Under the HPC4Mfg program, National laboratory experts in advanced modeling, simulation and data analysis collaborate with industrial partners on project teams to address manufacturing challenges that will aid in decision making, optimize processes and design, improve quality, predict performance and failure, quicken or eliminate testing, and/or shorten the time of adoption of new technologies.
Dona Crawford, Associate Director for Computation at NNSA’s Lawrence Livermore National Laboratory (LLNL), announced her retirement last week after 15 years of leading Livermore’s Computation Directorate. “Dona has successfully led a multidisciplinary 1000-person team that develops and deploys world-class supercomputers, computational science, and information technology expertise that enable the Laboratory’s national security programs,” LLNL Director Bill Goldstein said. “Dona’s leadership in high performance computing has been instrumental in bringing a series of world-class machines to the Laboratory.”