After four years of development, the Energy Exascale Earth System Model (E3SM) has just been released to the broader scientific community. A long-term aim of the E3SM project is to use exascale machines to be procured over the next five years. The development of the E3SM is proceeding in tandem with the Exascale Computing Initiative (ECI).…
Mike Heroux, now director of software technology for DOE’s Exascale Computing Project, discusses High Performance Computing Gradients (HPCG) which complements the traditional High Performance Linpack (HPL) benchmark.
Global food producer Mars, Incorporated participates in the US Exascale Computing Project’s Industry Council, which formed in February 2017 to facilitate information exchange between the ECP and the industrial user community. In this contributed article, ORNL’s Scott Gibson describes Mars’ efforts to leverage next-generation computing technologies to improve food safety and sustainability and create manufacturing…
This week, an Energy Department official called exascale a priority. Next week, researchers meet to talk about making it a reality. In this run-up to the second annual meeting for the Exascale Computing Project, Matt Leonard provides overview of recent statements and stated applications of Exascale. Read more.
In this invited talk from SC17, now available online, Dr. Paul Messina presents “The U.S. DOE Exascale Computing Project – Goals and Challenges.” From the description: Balancing evolution with innovation is challenging, especially since the ecosystem must be ready to support critical mission needs of DOE, other Federal agencies, and industry, when the first DOE…
Steve Plimpton, a computational scientist at Sandia National Laboratories’ Center for Computing Research, has received the IEEE Computer Society’s 2017 Sidney Fernbach Award for “high-performance computer simulation frameworks that have advanced research in materials science, chemistry, biology and other related areas.” The citation, while accurate in scope, hardly portrays the depth of Plimpton’s contributions. Read…
Just one year after the U.S. Department of Energy (DOE) began funding projects to prepare scientific applications for exascale supercomputers, the Block-Structured Adaptive Mesh Refinement Co-Design Center has released a new version of its software that solves a benchmark problem hundreds of times faster than the original baseline. Read the complete article.
The Department of Energy’s #Exascale Computing Project (ECP) today announced the selection of 35 software development proposals representing 25 research and academic organizations. The awards for the first year of funding total $34 million and cover many components of the software stack for #exascale systems, including programming models and runtime libraries, mathematical libraries and frameworks,…