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Hong, Ding-Yong
21567  Ergebnisse:
Personensuche X
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1

Function Clustering to Optimize Resource Utilization on Con..:

, In: 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS),
Lee, Chao-Yu ; Hong, Ding-Yong ; Liu, Pangfeng. - p. 2724-2725 , 2023
Link: https://doi.org/10.1109/..
 
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2

Rewriting Deep Learning Models for Maximizing Edge TPU Util..:

, In: 2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS),
Chen, Kung-Fu ; Hong, Ding-Yong - p. 657-664 , 2023
Link: https://doi.org/10.1109/..
 
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3

Accelerate Inference of CNN Models on CPU via Column Combin..:

, In: 2023 Eleventh International Symposium on Computing and Networking (CANDAR),
Lin, Chien-Hung ; Hong, Ding-Yong ; Liu, Pangfeng. - p. 20-29 , 2023
Link: https://doi.org/10.1109/..
 
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4

Accelerating Convolutional Neural Networks via Inter-operat..:

, In: 2022 IEEE 28th International Conference on Parallel and Distributed Systems (ICPADS),
You, Yi ; Liu, Pangfeng ; Hong, Ding-Yong.. - p. 916-923 , 2023
Link: https://doi.org/10.1109/..
 
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5

Exploiting Fine-Grained Structured Pruning for Efficient In..:

, In: 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS),
Wu, Cheng-Hung ; Hong, Ding-Yong ; Liu, Pangfeng. - p. 2835-2836 , 2023
Link: https://doi.org/10.1109/..
 
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6

CNN Models Acceleration Using Filter Pruning and Sparse Ten..:

Wei, Hong-Xuan ; Liu, Pangfeng ; Hong, Ding-Yong..
International Journal of Networking and Computing.  12 (2022)  2 - p. 270-294 , 2022
Link: https://doi.org/10.15803..
 
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7

Efficient Inference on Convolutional Neural Networks by Ima..:

, In: 2022 IEEE International Conference on Big Data (Big Data),
Chang, Yu-Jen ; Hong, Ding-Yong ; Liu, Pangfeng. - p. 5672-5681 , 2022
Link: https://doi.org/10.1109/..
 
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8

Accelerating Video Captioning on Heterogeneous System Archi..:

Huang, Horng-Ruey ; Hong, Ding-Yong ; Wu, Jan-Jan...
ACM Transactions on Architecture and Code Optimization.  19 (2022)  3 - p. 1-25 , 2022
Link: https://doi.org/10.1145/..
 
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9

Efficient Dual Batch Size Deep Learning for Distributed Par..:

, In: 2022 IEEE 46th Annual Computers, Software, and Applications Conference (COMPSAC),
Lu, Kuan-Wei ; Liu, Pangfeng ; Hong, Ding-Yong. - p. 630-639 , 2022
Link: https://doi.org/10.1109/..
 
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10

Accelerating Video Captioning on Heterogeneous System Archi..:

Huang, Horng-Ruey ; Hong, Ding-Yong ; Wu, Jan-Jan...
ACM Transactions on Architecture and Code Optimization (TACO).  19 (2022)  3 - p. 1-25 , 2022
Link: https://dl.acm.org/doi/1..
 
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11

Optimizing data permutations in structured loads/stores tra..:

Fu, Sheng-Yu ; Hong, Ding-Yong ; Liu, Yu-Ping..
Journal of Systems Architecture.  98 (2019)  - p. 173-190 , 2019
Link: https://doi.org/10.1016/..
 
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12

Exploiting Vector Processing in Dynamic Binary Translation:

, In: Proceedings of the 48th International Conference on Parallel Processing,
Lin, Chih-Min ; Fu, Sheng-Yu ; Hong, Ding-Yong... - p. 1-10 , 2019
Link: https://dl.acm.org/doi/1..
 
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13

Enhancing transactional memory execution via dynamic binary..:

Hong, Ding-Yong ; Lin, Shih-Kai ; Fu, Sheng-Yu..
ACM SIGAPP Applied Computing Review.  19 (2019)  1 - p. 48-58 , 2019
Link: https://dl.acm.org/doi/1..
 
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14

Exploiting SIMD Asymmetry in ARM-to-x86 Dynamic Binary Tran..:

Liu, Yu-Ping ; Hong, Ding-Yong ; Wu, Jan-Jan..
ACM Transactions on Architecture and Code Optimization (TACO).  16 (2019)  1 - p. 1-24 , 2019
Link: https://dl.acm.org/doi/1..
 
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15

Exploiting SIMD Asymmetry in ARM-to-x86 Dynamic Binary Tran..:

Liu, Yu-Ping ; Hong, Ding-Yong ; Wu, Jan-Jan..
ACM Transactions on Architecture and Code Optimization.  16 (2019)  1 - p. 1-24 , 2019
Link: https://doi.org/10.1145/..
 
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