A new study led by a research scientist at the Department of Energy’s Lawrence Berkeley National Laboratory (Berkeley Lab) highlights a literally shady practice in plant science that has in some cases underestimated plants’ rate of growth and photosynthesis, among other traits. “More standardized fieldwork, in parallel with new computational tools and theoretical work, will contribute to better global plant models,” Keenan said.
Today the DOE Exascale Computing Project announced the following changes to their strategic plan. The ECP project now plans to deploy the first Exascale system in the U.S. in 2021, a full 1-2 years earlier than previously planned. This system will be built from a “novel architecture” that will be put out for bid in the near future. According to Argonne’s Paul Messina, Director, Exascale Computing Project, “It won’t be something out there like quantum computing, but we are looking for new ideas in terms of processing and networking technologies for the machine.”
Today the Department of Energy’s Exascale Computing Project (ECP) today announced that it has selected four co-design centers as part of a 4 year, $48 million funding award. The first year is funded at $12 million, and is to be allocated evenly among the four award recipients. “By targeting common patterns of computation and communication, known as “application motifs”, we are confident that these ECP co-design centers will knock down key performance barriers and pave the way for applications to exploit all that capable exascale has to offer.”
Researchers and staff from the U.S. Department of Energy’s national laboratories will showcase some of DOE’s best computing and networking innovations and techniques at SC16 in Salt Lake City. “Computational scientists working for various DOE laboratories have been in involved in the conference since its 1988 beginnings, and this year’s event is no different. Experts from 14 national laboratories will be sharing a booth featuring speakers, presentations, demonstrations, discussions and simulations.”
Today the Department of Energy’s Exascale Computing Project (ECP) today announced the selection of 35 software development proposals representing 25 research and academic organizations. “After a lengthy review, we are pleased to announce that we have selected 35 proposals for funding. The funding of these software development projects, following our recent announcement for application development awards, signals the momentum and direction of ECP as we bring together the necessary ecosystem and infrastructure to drive the nation’s exascale imperative.”
In this video from the 2016 Argonne Training Program on Extreme-Scale Computing, Mark Miller from LLNL leads a panel discussion on Experiences in eXtreme Scale in HPC with FASTMATH team members. “The FASTMath SciDAC Institute is developing and deploying scalable mathematical algorithms and software tools for reliable simulation of complex physical phenomena and collaborating with U.S. Department of Energy (DOE) domain scientists to ensure the usefulness and applicability of our work. The focus of our work is strongly driven by the requirements of DOE application scientists who work extensively with mesh-based, continuum-level models or particle-based techniques.”
SC16 will continue its HPC Matters Plenary session series this year with a panel discussion on HPC and Precision Medicine. The event will take place at 5:30 pm on Monday, Nov 14 just prior to the exhibits opening gala. “The success of all of these research programs hinge on harnessing the power of HPC to analyze volumes of complex genomics and other biological datasets that simply can’t be processed by humans alone. The challenge for our community will be to develop the computing tools and services needed to transform how we think about disease and bring us closer to the precision medicine future.”
“This project will make a substantial contribution to advancing wind energy,” said Steve Hammond, NREL’s Director of Computational Science and the principal investigator on the project. “It will advance our fundamental understanding of the complex flow physics of whole wind plants, which will help further reduce the cost of electricity derived from wind energy.”
Today the Energy Department’s Advanced Manufacturing Office announced up to $3 million in available funding for manufacturers to use high-performance computing resources at the Department’s national laboratories to tackle major manufacturing challenges. The High Performance Computing for Manufacturing (HPC4Mfg) program enables innovation in U.S. manufacturing through the adoption of high performance computing (HPC) to advance applied science and technology in manufacturing, with an aim of increasing energy efficiency, advancing clean energy technology, and reducing energy’s impact on the environment.
“More than just building bigger and faster computers, high-performance computing is about how to build the algorithms and applications that run on these computers,” said School of Computational Science and Engineering (CSE) Associate Professor Edmond Chow. “We’ve brought together the top people in the U.S. with expertise in asynchronous techniques as well as experience needed to develop, test, and deploy this research in scientific and engineering applications.”