Machine Learning and Understanding for Intelligent Extreme Scale Scientific Computing and Discovery. DOE Workshop Report, January 7–9, 2015, Rockville, MD-Reference-Cited by-同舟云学术

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Machine Learning and Understanding for Intelligent Extreme Scale Scientific Computing and Discovery. DOE Workshop Report, January 7–9, 2015, Rockville, MD

Published:2015-12-31 Issue: Volume: Page:
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Author:

Berry Michael¹,Potok Thomas E.²,Balaprakash Prasanna³,Hoffmann Hank⁴,Vatsavai Raju⁵,Prabhat .⁶

Affiliation:

1. Univ. of Tennessee, Knoxville, TN (United States)

2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

3. Argonne National Lab. (ANL), Argonne, IL (United States)

4. Univ. of Chicago, Chicago, IL (United States)

5. North Carolina State Univ., Raleigh, NC (United States)

6. Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

Publisher

Office of Scientific and Technical Information (OSTI)

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Energy-efficient Application Resource Scheduling using Machine Learning Classifiers;Proceedings of the 47th International Conference on Parallel Processing;2018-08-13

2. AutoMOMML: Automatic Multi-objective Modeling with Machine Learning;Lecture Notes in Computer Science;2016

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