Yin, Junqi
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1

Comparative Study of Large Language Model Architectures on ..:

, In: 2024 IEEE International Parallel and Distributed Processing Symposium (IPDPS),
Yin, Junqi ; Bose, Avishek ; Cong, Guojing.. - p. 556-569 , 2024
 
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2

Pretraining Billion-Scale Geospatial Foundational Models on..:

, In: 2024 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
 
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4

The Case for Co-Designing Model Architectures with Hardware:

, In: Proceedings of the 53rd International Conference on Parallel Processing,
 
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6

DeepThermo: Deep Learning Accelerated Parallel Monte Carlo ..:

, In: 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS),
 
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8

FORGE: Pre-Training Open Foundation Models for Science:

, In: SC23: International Conference for High Performance Computing, Networking, Storage and Analysis,
Yin, Junqi ; Dash, Sajal ; Wang, Feiyi. - p. 1-13 , 2023
 
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9

Evaluation of pre-training large language models on leaders..:

Yin, Junqi ; Dash, Sajal ; Gounley, John..
The Journal of Supercomputing.  79 (2023)  18 - p. 20747-20768 , 2023
 
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10

Distributing Simplex-Shaped Nested for-Loops to Identify Ca..:

, In: 2023 IEEE International Parallel and Distributed Processing Symposium (IPDPS),
 
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11

Adaptation analysis of insect-resistant transgenic line aft..:

Wang, Daming ; Yin, Junqi ; Wu, Fengci...
Plant, Soil and Environment.  69 (2023)  1 - p. 18-24 , 2023
 
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12

FORGE: Pre-Training Open Foundation Models for Science:

, In: Proceedings of the International Conference for High Performance Computing, Networking, Storage and Analysis,
Yin, Junqi ; Dash, Sajal ; Wang, Feiyi. - p. 1-13 , 2023
 
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15

Strategies for Integrating Deep Learning Surrogate Models w..:

, In: 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW),
 
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