Dryden, Nikoli
49  Ergebnisse:
Personensuche X
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1

Learning to Compose SuperWeights for Neural Parameter Alloc..:

, In: 2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV),
Teterwak, Piotr ; Nelson, Soren ; Dryden, Nikoli... - p. 2739-2748 , 2024
 
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2

Motif Prediction with Graph Neural Networks:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Besta, Maciej ; Grob, Raphael ; Miglioli, Cesare... - p. 35-45 , 2022
 
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3

A data-centric optimization framework for machine learning:

, In: Proceedings of the 36th ACM International Conference on Supercomputing,
Rausch, Oliver ; Ben-Nun, Tal ; Dryden, Nikoli... - p. 1-13 , 2022
 
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4

Clairvoyant Prefetching for Distributed Machine Learning I/:

, In: SC21: International Conference for High Performance Computing, Networking, Storage and Analysis,
 
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5

Co-design Center for Exascale Machine Learning Technologies..:

Alexander, Francis J ; Ang, James ; Bilbrey, Jenna A...
The International Journal of High Performance Computing Applications.  35 (2021)  6 - p. 598-616 , 2021
 
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7

Clairvoyant prefetching for distributed machine learning I/:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
 
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9

Improving Strong-Scaling of CNN Training by Exploiting Fine..:

, In: 2019 IEEE International Parallel and Distributed Processing Symposium (IPDPS),
Dryden, Nikoli ; Maruyama, Naoya ; Benson, Tom... - p. 210-220 , 2019
 
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10

Channel and filter parallelism for large-scale CNN training:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Dryden, Nikoli ; Maruyama, Naoya ; Moon, Tim... - p. 1-20 , 2019
 
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11

Gluon: a communication-optimizing substrate for distributed..:

, In: Proceedings of the 39th ACM SIGPLAN Conference on Programming Language Design and Implementation,
Dathathri, Roshan ; Gill, Gurbinder ; Hoang, Loc... - p. 752-768 , 2018
 
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13

A Lightweight Communication Runtime for Distributed Graph A..:

, In: 2018 IEEE International Parallel and Distributed Processing Symposium (IPDPS),
Dang, Hoang-Vu ; Dathathri, Roshan ; Gill, Gurbinder... - p. 980-989 , 2018
 
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14

Towards Scalable Parallel Training of Deep Neural Networks:

, In: Proceedings of the Machine Learning on HPC Environments,
 
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15

Communication quantization for data-parallel training of de..:

, In: Proceedings of the Workshop on Machine Learning in High Performance Computing Environments,
 
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