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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
Link: https://doi.org/10.1109/..
 
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2

Cached Operator Reordering: A Unified View for Fast GNN Tra..:

Bazinska, Julia ; Ivanov, Andrei ; Ben-Nun, Tal...
http://arxiv.org/abs/2308.12093.  , 2023
Link: http://arxiv.org/abs/230..
 
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3

STen: Productive and Efficient Sparsity in PyTorch:

Ivanov, Andrei ; Dryden, Nikoli ; Ben-Nun, Tal..
http://arxiv.org/abs/2304.07613.  , 2023
Link: http://arxiv.org/abs/230..
 
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4

Learning to Compose SuperWeights for Neural Parameter Alloc..:

Teterwak, Piotr ; Nelson, Soren ; Dryden, Nikoli...
http://arxiv.org/abs/2312.01274.  , 2023
Link: http://arxiv.org/abs/231..
 
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5

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
Link: https://dl.acm.org/doi/1..
 
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6

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
Link: https://dl.acm.org/doi/1..
 
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7

Neural Graph Databases:

Besta, Maciej ; Iff, Patrick ; Scheidl, Florian...
http://arxiv.org/abs/2209.09732.  , 2022
Link: http://arxiv.org/abs/220..
 
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8

ENS-10: A Dataset For Post-Processing Ensemble Weather Fore..:

Ashkboos, Saleh ; Huang, Langwen ; Dryden, Nikoli...
http://arxiv.org/abs/2206.14786.  , 2022
Link: http://arxiv.org/abs/220..
 
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9

Motif Prediction with Graph Neural Networks:

Besta, Maciej ; Grob, Raphael ; Miglioli, Cesare...
info:eu-repo/semantics/altIdentifier/doi/10.1145/3534678.3539343.  , 2022
Link: https://archive-ouverte...
 
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10

Spatial Mixture-of-Experts:

Dryden, Nikoli ; Hoefler, Torsten
http://arxiv.org/abs/2211.13491.  , 2022
Link: http://arxiv.org/abs/221..
 
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11

Clairvoyant Prefetching for Distributed Machine Learning I/:

, In: SC21: International Conference for High Performance Computing, Networking, Storage and Analysis,
Dryden, Nikoli ; Bohringer, Roman ; Ben-Nun, Tal. - p. 1-14 , 2021
Link: https://doi.org/10.1145/..
 
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12

The Case for Strong Scaling in Deep Learning: Training Larg..:

Oyama, Yosuke ; Maruyama, Naoya ; Dryden, Nikoli...
IEEE Transactions on Parallel and Distributed Systems.  , 2021
Link: https://doi.org/10.1109/..
 
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13

Clairvoyant prefetching for distributed machine learning I/:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Dryden, Nikoli ; Böhringer, Roman ; Ben-Nun, Tal. - p. 1-15 , 2021
Link: https://dl.acm.org/doi/1..
 
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14

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
Link: https://doi.org/10.1177/..
 
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15

Motif Prediction with Graph Neural Networks:

Besta, Maciej ; Grob, Raphael ; Miglioli, Cesare...
http://arxiv.org/abs/2106.00761.  , 2021
Link: http://arxiv.org/abs/210..
 
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