HPCwire summarizes a recent report from the US Department of Energy's National Renewable Energy Laboratory that explains how supercomputing-led scientific advances could make wind a greater supplier of the country's energy needs.
Scientists developing applications for exascale systems depend on an intricate set of software that makes the computing system usable and the job of the application developer easier. The broad services this software provides are often collectively referred to as the software stack.
Working with its lab colleagues and partners, Argonne National Laboratory is using its experience and perspective to help frame and support the Exascale Computing Project.
A team of researchers from Oak Ridge National Laboratory has been awarded nearly $2 million over three years from the Department of Energy to explore the potential of machine learning in revolutionizing scientific data analysis.
The lessons the US Department of Energy Office of Science learns from the supercomputers at its user facilities will extend to launching its next high-performance computing challenge: exascale.
Paul Messina, director of the Exascale Computing Project, on August 9 delivered the keynote presentation at the Workshop on Modeling & Simulation of Systems, ModSim 2017, in Seattle, Washington.
HPCwire details the Exascale Computing Project's effort aimed at building a scalable deep neural network code to take on the major challenges in cancer research.
Oak Ridge National Laboratory has begun to install Summit. Besides providing unprecedented amounts of computational capacity for traditional high-performance computing applications, it will offer the largest platform in the world for deep learning workloads.
A recent EE Times blog post underscores the importance of supercomputing to society and the strength that public-private research partnerships such as the PathForward program of the Exascale Computing Project contribute to America's competitiveness and innovation.
The Trinity supercomputer’s two partitions sited at Los Alamos National Laboratory were merged, with both Xeon Haswell and the Xeon Phi Knights Landing processors available for production computing in the laboratory’s classified network.
Scientists have developed new computer models to explore what happens when a black hole joins with a neutron star, the superdense remnant of an exploded star. A participant in the research from Lawrence Berkeley National Laboratory is working to build increasingly sophisticated models of neutron star mergers and supernovae through his involvement in the US Department of Energy's Exascale Computing Project.