Researchers from Oak Ridge National Laboratory and Lawrence Berkeley National Laboratory have jointly been awarded ACM's Gordon Bell Prize for outstanding work in computer science.
The ORNL team won in the sustained performance category for a new algorithm called the Custom Correlation Coefficient method (CoMeT), which compares variations of the same genes in a chosen population. The researchers used the Summit supercomputer to undertake analysis and comparison of millions of genomes in short periods of time.
The Berkeley Lab team broke the exascale barrier on Summit when they achieved a peak speed of 1.13 exaops while using a deep learning tool to identify extreme weather patterns from high-resolution climate models. The team's application of Summit to process large volumes of meteorological data represents one of the first successes of scaling a deep learning application to high-performance computing.
From Computer Business Review
View Full Article
Abstracts Copyright © 2018 Information Inc., Bethesda, Maryland, USA
No entries found