Tag: Berkeley Lab
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.
David Brown, the director of the Computational Research Division at Lawrence Berkeley National Laboratory, explores the deep connection between mathematics and modern computer science.
More than 25 years ago, the recipient realized that researchers were facing significant challenges in organizing, managing and analyzing their scientific data so he set out to develop computer applications to help them better meet the challenges. He was honored at an Aug. 8 ceremony with the Berkeley Lab Prize for Lifetime Scientific Achievement.
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.
Researchers from Berkeley Lab are looking at different options available for scientific computing users to move beyond physical infrastructure, including the possibility of deploying public clouds. A recently-published study of Amazon EC2’s handling of data from the Nearby Supernova Factory sheds light on putting large-scale scientific computing into the cloud in practice and in theory.