1.87 Million for High Performance Computing
This post is a bit out the realm, came from DOE.
This article is from U.S. Department of Energy (DOE)
Today the U.S. Department of Energy (DOE) announced $1.87 million for seven projects to advance innovation in U.S. manufacturing through high performance computing. Part of DOE’s High Performance Computing for Manufacturing (HPC4Mfg) program, the seven new public private partnerships will enable greater collaboration between DOE national labs and the U.S. manufacturing industry.
The HPC4Mfg program, operated by DOE’s Advanced Manufacturing Office within the Office of Energy Efficiency and Renewable Energy (EERE), leverages world-class technical expertise with high performance computing to tackle manufacturing challenges uniquely solved by computer modeling. By applying modeling, simulation, and data analytics to key manufacturing problems, the program can aid in decision-making, optimize processes and design, improve quality, predict performance and failure, reduce or eliminate testing, and shorten the time to market.
Each of the seven projects will receive up to $300,000 to support modeling and simulation subject-matter experts at the national laboratories and provide the needed supercomputing power. Industry partners will provide 20% to 50% cost-share, including the technical know-how and manufacturing data needed to tackle the project goals.
partnerships. Led by Lawrence Livermore National Laboratory in partnership with Oak Ridge National Laboratory and Lawrence Berkeley National Laboratory, the program includes projects with Argonne National Laboratory, the National Renewable Energy Laboratory, the National Energy Technology Laboratory, and Sandia National Laboratories. Sandia is a new participant in the program.
The High Performance Computing program has expanded to include projects focused on advanced materials. Two seedling projects are part of DOE’s Fossil Energy High Performance Computing for Materials (HPC4Mtls) Program, which develops new or improved materials that can withstand extreme conditions.
Read more at DOE