File:OLCF Staff Member Shares Work on Improving Simulation Efficiency (36329158741).jpg

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Ying Wai Li’s research has provided valuable insight into parallel computing that aids in reducing computing time on systems such as Titan, America’s most powerful supercomputer.

Li, a research and development computational scientist at the Oak Ridge Leadership Computing Facility (OLCF) at the US Department of Energy’s (DOE’s) Oak Ridge National Laboratory (ORNL), has identified and resolved bottlenecks that occur within Monte Carlo algorithms—computational tools that rely on statistical probability to estimate configurations or solutions. By targeting and resolving these computational speed bumps, Li has provided a pathway to perform the computer simulation at least ten times faster.

Li was invited to share her findings at four conferences in 2017, including two this summer: Conference on Computational Physics (CCP) and Platform for Advanced Scientific Computing Conference (PASC17).

In addition to the opportunity to present her own findings, Li emphasizes that conferences such as PASC and CCP are a valuable opportunity to meet peers and take a big-picture look at the state of the field.

Photo courtesy of the Swiss National Supercomputing Centre.

Read more: www.olcf.ornl.gov/2017/08/08/olcf-staff-member-shares-wor...
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Source OLCF Staff Member Shares Work on Improving Simulation Efficiency
Author OLCF at ORNL

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This file is licensed under the Creative Commons Attribution 2.0 Generic license.
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This image was originally posted to Flickr by OLCF at https://flickr.com/photos/151938121@N02/36329158741 (archive). It was reviewed on 1 March 2018 by FlickreviewR 2 and was confirmed to be licensed under the terms of the cc-by-2.0.

1 March 2018

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