SPECIAL EDITION

ESnet Named Government IT Innovator

InformationWeek magazine honored ESnet as one the top 10 government agency innovators for its work helping thousands of researchers worldwide manage the massive amounts of scientific data stemming from the application of petascale supercomputers and high-precision instruments to cutting-edge disciplines such as climate science and high energy physics. More>

CRD Researchers Receive Recovery Act Funds to Improve Reliability of Electrical Grid

Mathematicans from the The Lawrence Berkeley National Laboratory's Computational Research Division (CRD) are receiving Recovery Act funds to help increase the reliability of the electrical grid and improve the nation's ability to respond to energy disruptions. More>

Newsbytes:

SciDAC Review: A Lightning-Fast Index Drives Massive Data Analysis

FastBit is an efficient indexing technology for accelerating database queries on massive datasets. It enhances conventional bitmap indexing technology by employing advanced compression, encoding, and binning methods. FastBit can search data 10–100 times faster than other products. More>

SciDAC Review: Divide and Conquer for Tractable Computations

Nanotechnology holds a wealth of potential for major advances in a broad range of energy applications, but developing nanosystems is quite challenging because simulations necessary to understand structures at the nanoscale require tremendous amounts of computational resources. A new algorithm promises to unleash the power of nanotechnology by enabling electronic structure calculations with hundreds of thousands of atoms. More>

SciDAC Review: The Manycore Revolution: Will HPC Lead or Follow?

Rumors of the death of Moore’s Law are greatly exaggerated, according to a team of computer scientists from Lawrence Berkeley National Laboratory (LBNL) and the University of California (UC)–Berkeley. In their view, Gordon Moore’s observation that the amount of computing power packed onto a chip doubles about every 18 months while the cost remains flat is alive and well. But the physics is changing. More>

SciDAC Review: The Challenge of Energy-Efficient HPC

The electrical power demands of ultrascale computers threaten to limit the future growth of computational science. To reach exascale computing cost-effectively, a group of researchers propose to radically change the relationship between machines and applications by developing a tightly coupled hardware/software co-design process. The Green Flash project is intended to dramatically accelerate the development cycle for exascale systems while decreasing the power requirements. More>

ASCR Discovery: Flame Simulations Lift Combustion Energy's Future

By developing computational techniques that close the gap between theory and experiment, CRD's John Bell enables dramatic progress in combustion science. More>

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