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Patwary, Mostofa
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1

Keynote Talk 2 Training Large Language Models: Challenges a..:

, In: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
Patwary, Mostofa - p. 1245-1245 , 2022
Link: https://doi.org/10.1109/..
 
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2

Efficient large-scale language model training on GPU cluste..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Narayanan, Deepak ; Shoeybi, Mohammad ; Casper, Jared... - p. 1-15 , 2021
Link: https://dl.acm.org/doi/1..
 
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3

DisCo: Physics-Based Unsupervised Discovery of Coherent Str..:

, In: 2019 IEEE/ACM Workshop on Machine Learning in High Performance Computing Environments (MLHPC),
Rupe, Adam ; Prabhat, Mr ; Crutchfield, James P.... - p. 75-87 , 2019
Link: https://doi.org/10.1109/..
 
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4

Scalable parallel OPTICS data clustering using graph algori..:

, In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis,
Patwary, Mostofa Ali ; Palsetia, Diana ; Agrawal, Ankit... - p. 1-12 , 2013
Link: https://dl.acm.org/doi/1..
 
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5

A new scalable parallel DBSCAN algorithm using the disjoint..:

, In: Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis,
Patwary, Mostofa Ali ; Palsetia, Diana ; Agrawal, Ankit... - p. 1-11 , 2012
Link: https://dl.acm.org/doi/1..
 
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6

Deep learning at 15PF : supervised and semi-supervised c..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Kurth, Thorsten ; Zhang, Jian ; Satish, Nadathur... - p. 1-11 , 2017
Link: https://dl.acm.org/doi/1..
 
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7

Galactos : computing the anisotropic 3-point correlation..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Friesen, Brian ; Patwary, Md. Mostofa Ali ; Austin, Brian... - p. 1-11 , 2017
Link: https://dl.acm.org/doi/1..
 
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8

Designing scalable b-Matching algorithms on distributed mem..:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Khan, Arif ; Pothen, Alex ; Patwary, Md. Mostofa Ali... - p. 1-11 , 2016
Link: https://dl.acm.org/doi/1..
 
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9

BD-CATS : big data clustering at trillion particle scale:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Patwary, Md. Mostofa Ali ; Byna, Suren ; Satish, Nadathur Rajagopalan... - p. 1-12 , 2015
Link: https://dl.acm.org/doi/1..
 
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10

Improving graph partitioning for modern graphs and architec..:

, In: Proceedings of the 5th Workshop on Irregular Applications: Architectures and Algorithms,
LaSalle, Dominique ; Patwary, Md Mostofa Ali ; Satish, Nadathur... - p. 1-4 , 2015
Link: https://dl.acm.org/doi/1..
 
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11

GraphMat : high performance graph analytics made product..:

Sundaram, Narayanan ; Satish, Nadathur ; Patwary, Md Mostofa Ali...
Proceedings of the VLDB Endowment.  8 (2015)  11 - p. 1214-1225 , 2015
Link: https://dl.acm.org/doi/1..
 
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12

GraphMat: high performance graph analytics made productive:

Sundaram, Narayanan ; Satish, Nadathur ; Patwary, Md Mostofa Ali...
Proceedings of the VLDB Endowment.  8 (2015)  11 - p. 1214-1225 , 2015
Link: https://doi.org/10.14778..
 
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13

Navigating the maze of graph analytics frameworks using mas..:

, In: Proceedings of the 2014 ACM SIGMOD International Conference on Management of Data,
Satish, Nadathur ; Sundaram, Narayanan ; Patwary, Md. Mostofa Ali... - p. 979-990 , 2014
Link: https://dl.acm.org/doi/1..
 
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14

Excavating social circles via user interests:

Palsetia, Diana ; Patwary, Md. Mostofa Ali ; Agrawal, Ankit.
Social Network Analysis and Mining.  4 (2014)  1 - p. , 2014
Link: https://doi.org/10.1007/..
 
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15

Pardicle : parallel approximate density-based clustering:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Patwary, Md. Mostofa Ali ; Satish, Nadathur ; Sundaram, Narayanan... - p. 560-571 , 2014
Link: https://dl.acm.org/doi/1..
 
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