Tag Archives: llnl

Scientists “Burst” Supercomputing Record with Bubble Collapse Simulation; Could Lead to Advances in Healthcare and Industrial Technology

– 15,000 bubbles are simulated using IBM BlueGene/Q “Sequoia” at 14.4 Petaflop of sustained performance, a 150-fold improvement over current state-of-the-art
– Destructive capabilities of collapsing bubbles are increasingly being studied in areas ranging from treating kidney stones and cancer to high pressure fuel injectors
– Research team named as a Finalist for the 2013 Gordon Bell Prize (more…)

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Climate Change Study Strengthens Link to Human Activities

Computer Models, Satellite Data Reveal Clearest Evidence Yet of Human Influence on Changing Temperatures

New research shows some of the clearest evidence yet of a discernible human influence on atmospheric temperature.

Published online in the Nov. 29 early edition of the Proceedings of the U.S. National Academy of Sciences, the study compared 20 of the latest climate models against 33 years of satellite data. When human factors were included in the models, they followed the pattern of temperature changes observed by satellite. When the same simulations were run without considering human influences, the results were quite different.

“We can only match the satellite record when we add in human influences on the atmosphere,” said Michael Wehner, a research scientist at Lawrence Berkeley National Laboratory (Berkeley Lab) Computational Research Division and a coauthor of the article, which involved colleagues from 16 other organizations and was led by Benjamin Santer, an atmospheric scientist at Lawrence Livermore National Laboratory (LLNL). (more…)

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IBM Announces Supercomputer to Propel Sciences Forward

*Blue Gene/Q tackles major challenges of the day, delivers up to 100 petaflops at peak performance*

ARMONK, NY – 15 Nov 2011: IBM today announced its next generation supercomputing project, Blue Gene/Q, will provide an ultra-scale technical computing platform to solve the most challenging problems facing engineers and scientists at faster, more energy efficient, and more reliable rates than ever before. Blue Gene/Q is expected to predict the path of hurricanes, analyze the ocean floor to discover oil, simulate nuclear weapons performance and decode gene sequences.

When it is fully deployed in 2012 at Lawrence Livermore National Laboratory (LLNL), the system, named “Sequoia”, is expected to achieve 20 petaflops at peak performance, marking it as one of the fastest supercomputers in the world. The capabilities this system represents will help ensure United States leadership in high performance computing (HPC) and the science it makes possible. Moreover, Blue Gene/Q is expected to become the world’s most power-efficient computer, churning out 2 gigaflops per watt. (more…)

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