I agree that this site is using cookies. You can find further informations here.
X
Jacobs, Sam Ade
36  results:
Search for persons X
?
1

System Optimizations for Enabling Training of Extreme Long ..:

, In: Proceedings of the 43rd ACM Symposium on Principles of Distributed Computing,
Jacobs, Sam Ade ; Tanaka, Masahiro ; Zhang, Chengming... - p. 121-130 , 2024
Link: https://dl.acm.org/doi/1..
 
?
2

System Optimizations for Enabling Training of Extreme Long ..:

, In: 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
Jacobs, Sam Ade ; Tanaka, Masahiro ; Zhang, Chengming... - p. 1206-1208 , 2024
Link: https://doi.org/10.1109/..
 
?
3

Parallelizing Graph Neural Networks via Matrix Compaction f..:

, In: 2022 22nd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid),
Zaman, Shehtab ; Moon, Tim ; Benson, Tom... - p. 386-395 , 2022
Link: https://doi.org/10.1109/..
 
?
4

Scalable Composition and Analysis Techniques for Massive Sc..:

, In: 2022 IEEE 18th International Conference on e-Science (e-Science),
Ahn, Dong H. ; Zhang, Xiaohua ; Mast, Jeffrey... - p. 32-43 , 2022
Link: https://doi.org/10.1109/..
 
?
5

Enabling rapid COVID-19 small molecule drug design through ..:

Jacobs, Sam Ade ; Moon, Tim ; McLoughlin, Kevin...
The International Journal of High Performance Computing Applications.  35 (2021)  5 - p. 469-482 , 2021
Link: https://doi.org/10.1177/..
 
?
6

Scalable Topological Data Analysis and Visualization for Ev..:

Liu, Shusen ; Gaffney, Jim ; Peterson, Luc...
IEEE Transactions on Visualization and Computer Graphics.  26 (2020)  1 - p. 291-300 , 2020
Link: https://doi.org/10.1109/..
 
?
7

Parallelizing Training of Deep Generative Models on Massive..:

, In: 2019 IEEE International Conference on Cluster Computing (CLUSTER),
Jacobs, Sam Ade ; Gaffney, Jim ; Benson, Tom... - p. 1-10 , 2019
Link: https://doi.org/10.1109/..
 
?
8

Towards Scalable Parallel Training of Deep Neural Networks:

, In: Proceedings of the Machine Learning on HPC Environments,
Jacobs, Sam Adé ; Dryden, Nikoli ; Pearce, Roger. - p. 1-9 , 2017
Link: https://dl.acm.org/doi/1..
 
?
9

Communication Quantization for Data-Parallel Training of De..:

, In: 2016 2nd Workshop on Machine Learning in HPC Environments (MLHPC),
Dryden, Nikoli ; Moon, Tim ; Jacobs, Sam Ade. - p. 1-8 , 2016
Link: https://doi.org/10.1109/..
 
?
10

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

, In: Proceedings of the Workshop on Machine Learning in High Performance Computing Environments,
Dryden, Nikoli ; Jacobs, Sam Ade ; Moon, Tim. - p. 1-8 , 2016
Link: https://dl.acm.org/doi/1..
 
?
11

ACM SRC poster : from days to seconds: scalable parallel..:

, In: Proceedings of the 2011 companion on High Performance Computing Networking, Storage and Analysis Companion,
Jacobs, Sam Ade ; Amato, Nancy M. - p. 109-110 , 2011
Link: https://dl.acm.org/doi/1..
 
?
12

ZeRO++: Extremely Efficient Collective Communication for Gi..:

Wang, Guanhua ; Qin, Heyang ; Jacobs, Sam Ade...
http://arxiv.org/abs/2306.10209.  , 2023
Link: http://arxiv.org/abs/230..
 
?
13

DeepSpeed Ulysses: System Optimizations for Enabling Traini..:

Jacobs, Sam Ade ; Tanaka, Masahiro ; Zhang, Chengming...
http://arxiv.org/abs/2309.14509.  , 2023
Link: http://arxiv.org/abs/230..
 
?
14

Scalable Composition and Analysis Techniques for Massive Sc..:

Ahn, Dong H ; Zhang, Xiaohua ; Mast, Jeffrey...
doi:10.5281/zenodo.7221765.  , 2022
Link: https://zenodo.org/recor..
 
?
15

Scalable Composition and Analysis Techniques for Massive Sc..:

Ahn, Dong H ; Zhang, Xiaohua ; Mast, Jeffrey...
doi:10.5281/zenodo.7184217.  , 2022
Link: https://zenodo.org/recor..
 
1-15