Nicholas D'Imperio

Publication Activity (10 Years)

Years Active: 2019-2021
Publications (10 Years): 6

Top Topics

Neural Network Training

Stochastic Gradient Descent

Top Venues

Comput. Phys. Commun.

Publications

Corey Melnick, Patrick Semon, Kwangmin Yu, Nicholas D'Imperio, André-Marie Tremblay, Gabriel Kotliar
Accelerated impurity solver for DMFT and its diagrammatic extensions. Comput. Phys. Commun. 267 (2021)
Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo
Bounding the expected run-time of nonconvex optimization with early stopping. UAI (2020)
Christopher Kelly, Sungsoo Ha, Kevin A. Huck, Hubertus Van Dam, Line Pouchard, Gyorgy Matyasfalvi, Li Tang, Nicholas D'Imperio, Wei Xu, Shinjae Yoo, Kerstin Kleese van Dam
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. ISAV@SC (2020)
Sungsoo Ha, Wonyong Jeong, Gyorgy Matyasfalvi, Cong Xie, Kevin A. Huck, Jong Youl Choi, Abid Malik, Li Tang, Hubertus Van Dam, Line Pouchard, Wei Xu, Shinjae Yoo, Nicholas D'Imperio, Kerstin Kleese van Dam
Chimbuko: A Workflow-Level Scalable Performance Trace Analysis Tool. CoRR (2020)
Thomas Flynn, Kwangmin Yu, Abid Malik, Nicholas D'Imperio, Shinjae Yoo
Bounding the expected run-time of nonconvex optimization with early stopping. CoRR (2020)
Kwangmin Yu, Thomas Flynn, Shinjae Yoo, Nicholas D'Imperio
Layered SGD: A Decentralized and Synchronous SGD Algorithm for Scalable Deep Neural Network Training. CoRR (2019)