A team of scientists and mathematicians at the DOE’s Lawrence Berkeley National Laboratory are using powerful NERSC supercomputers together with sophisticated algorithms to create cleaner combustion technologies.
What good is computing if it’s not reliable? An international team of researchers just got a little closer to realizing the grand challenge that is practical quantum computing.
A 24-year old Pennsylvania man, Andrew James Miller, pleaded guilty to charges of hacking into Department of Energy supercomputers and attempting to sell stolen access credentials. Miller offered to sell an undercover FBI agent root access to NERSC systems for the sum of $50,000.
It may not be possible to prevent devastating space-weather events like solar storms from reaching the earth’s surface, but with enough warning, we can prepare for them. Scientists believe that mapping the earth’s magnetosphere – the magnetic shield that stops most but not all of these storms – is the first step.
<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.
The National Energy Research Scientific Computing Center (NERSC) at Berkeley Lab has recently begun installing Edison, the Cray supercomputer that will exceed two peak petaflops when its fully deployed in a couple of months. But the center is already prepping for its next-generation system, which is expected to be an order of magnitude more powerful. That supercomputer may be the center’s last big deployment prior to the exascale era.
<img style=”float: left;” src=”http://media2.hpcwire.com/hpcwire/ESnet_logo.jpg” alt=”” width=”114″ height=”119″ />In order to help research institutions capitalize on the growing availability of high-bandwidth networks to manage their growing data sets, the DOE’s Energy Sciences Network, known as ESnet, is working with the scientific community to encourage the use of a network design model called the “Science DMZ.” Leading the development of this effort is Eli Dart, a network engineer with previous experience at Sandia National Laboratories and the National Energy Research Scientific Computing Center. In this interview, Dart talks about the nature of the project and explains how such an architecture can help researchers.
Lawrence Berkeley National Lab’s CIO discussed the institutions evaluation of cloud providers to handle growing needs for high performance computing.