Deanna Csomo McCool | December 6, 2019
The University of Notre Dame is bolstering cyberinfrastructure that will support greater access to machine learning.
Four professors in the College of Science were awarded a two-year grant through the National Science Foundation (NSF) that will establish the creation of Cyberinfrastructure to Accelerate Machine Learning (CAML), a pool of new computer nodes dedicated to providing researchers with new high performance technology for quicker speeds.
Machine learning, a subfield of artificial intelligence, is an approach to computation in which the computer algorithm learns to recognize connections by exposure to many examples. This approach to computation is roughly inspired by the way the human brain works.
“GPUs used to only let you play video games with a high rate of animation, but computer scientists found that these GPUs can be used for accelerating the speed of certain computations. One type of computation that can be dramatically accelerated with GPUs is machine learning,” said Kevin Lannon, associate professor of physics and one of the principal investigators for the project.
The upgrade will complement the University’s existing graphical processing unit (GPU) cluster at the Center for Research Computing. CAML will enable Notre Dame’s researchers to make more progress in individual runs and do more of the runs in parallel, thereby speeding up the process of machine learning.
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