As we head deeper into the digital age, computers appropriate an ever greater share of the work of designing and testing physical systems, spanning the gamut from nuclear components to personal care products. Engine design is another important, but very complex, application that is benefiting from computational modeling. To optimize the performance of combustion engines, chemical models are incorporated into computer simulations. Read more…
Susan Coghlan, Deputy Division Director at the Argonne Leadership Computing Facility, opens up about her role working with Mira, the fifth-fastest supercomputer in the world.
Last week, 30 stakeholders from research and industry met at Argonne National Labs to explore the potential for cloud-based cyber-infrastructure to support existing and emerging use cases in a range of research disciplines.
<img src=”http://media2.hpcwire.com/hpcwire/argonne_crop.jpg” alt=”” width=”94″ height=”72″ />Prominent figures in government, national labs, universities and other research organizations are worried about the effect that sequestration and budget cuts may have on federally-funded R&D in general, and on HPC research in particular. They have been defending the concept in hearings and in editorial pages across the country. It may be a tough argument to sell.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/doe-logo-small.png” alt=”” width=”96″ height=”96″ />The national labs at Oak Ridge, Argonne and Lawrence Livermore are banding together for their next refresh of supercomputers. In late 2016 or early 2017, all three Department of Energy (DOE) centers are looking to deploy their first 100-plus petaflop systems, which will serve as precursors to their exascale machine further down the line. The labs will issue a request for proposal (RFP) later this year with the goal of awarding the work to two prime subcontractors.