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Archive of past stories

Annotations accelerate supercomputer programs
(June 30, 2009)
Computer scientists must tweak codes to optimize performance on today supercomputers a time-consuming process that often doesn translate from one platform to another. Orio, a new software tool, uses annotations to automate the process.
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Advancing the science of advancing interfaces  (December 5, 2008)
Moving interfaces are everywhere, James Sethian says – in flames, computer chip manufacturing and even inkjet printers. For almost 30 years, the Lawrence Berkeley National Laboratory researcher has led efforts to build computer codes that track these complex fronts. The methods he's devised have led to better semiconductors, improved medical images and other practical applications.
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Planning, placement and more: Optimization makes it easier  (August 13, 2007)
Many everyday decisions may be thought of as optimization problems – problems that seek to maximize or minimize desired quantities or qualities given certain constraints. Cynthia Phillips and fellow researchers consider enormously complex optimization problems and devise algorithms that let computers solve such problems quickly and efficiently.
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Overture plays on methods for faster, more accurate models  (July 31, 2007)
In simulating a physical phenomenon, some researchers use a single technique or algorithm. That approach is not always the best choice. Bill Henshaw, an applied mathematician at Lawrence Livermore National Laboratory, researches ways to combine computational “tools” that automatically adapt to efficiently attack specific parts of the simulation.
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Clustermatic: Supercomputing made easy – almost  (July 2, 2007)
DOE researchers have made it easier to link off-the-shelf PCs into powerful parallel clusters.
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Building tiny detectors  (June 18, 2007)
An applied mathematician looks at how molecules’ shapes affect the way minuscule structures come together. His work has applications to tiny sensors capable of detecting substances in minute amounts.
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MADNESS makes sense  (April 16, 2007)
A mathematical software framework called MADNESS could help scientists study and simulate systems previously thought nearly impossible.  It has potential applications in energy, drug development and other fields.
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Putting the pieces together  (April 16, 2007)
Scientists are redefining the computer operating system concept to provide a framework for custom systems efficient enough for the next generation of high-performance computers.
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