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Han, Hwansoo
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1

Accelerating Deep Neural Networks on Mobile Multicore NPUs:

, In: Proceedings of the 21st ACM/IEEE International Symposium on Code Generation and Optimization,
Jung, Hanwoong ; Ji, Hexiang ; Pushchin, Alexey... - p. 236-248 , 2023
Link: https://dl.acm.org/doi/1..
 
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2

GPU thread throttling for page-level thrashing reduction vi..:

Kim, Hyunjun ; Han, Hwansoo
The Journal of Supercomputing.  80 (2023)  7 - p. 9829-9847 , 2023
Link: https://doi.org/10.1007/..
 
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3

Performance Analysis of ZNS-aware File Systems on Distribut..:

, In: 2023 IEEE 43rd International Conference on Distributed Computing Systems (ICDCS),
Cho, Yongwoo ; Park, Seongsoo ; Han, Hwansoo - p. 1047-1048 , 2023
Link: https://doi.org/10.1109/..
 
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4

Idempotence-Based Preemptive GPU Kernel Scheduling for Embe..:

Lee, Hyeonsu ; Kim, Hyunjun ; Kim, Cheolgi..
IEEE Transactions on Computers.  70 (2021)  3 - p. 332-346 , 2021
Link: https://doi.org/10.1109/..
 
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5

Libpubl : exploiting persistent user buffers as logs for..:

, In: Proceedings of the 13th ACM Workshop on Hot Topics in Storage and File Systems,
Jung, Jaewon ; Choi, Jungsik ; Han, Hwansoo - p. 64-70 , 2021
Link: https://dl.acm.org/doi/1..
 
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6

CCA: Cost-Capacity-Aware Caching for In-Memory Data Analyti..:

Park, Seongsoo ; Jeong, Minseop ; Han, Hwansoo
Sensors.  21 (2021)  7 - p. 2321 , 2021
Link: https://doi.org/10.3390/..
 
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7

Cost-Effective Container Orchestration Using Usage Data:

, In: The 9th International Conference on Smart Media and Applications,
Nam, Youseok ; Han, Hwansoo - p. 350-353 , 2020
Link: https://dl.acm.org/doi/1..
 
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8

Effective Profiling for Data-Intensive GPU Programs: Work-i..:

, In: 2020 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES),
Kim, Hwiwon ; Kim, Hyunjun ; Han, Hwansoo - p. 17-19 , 2020
Link: https://doi.org/10.1109/..
 
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9

Page Reuse in Cyclic Thrashing of GPU Under Oversubscriptio..:

, In: 2020 International Conference on Compilers, Architecture, and Synthesis for Embedded Systems (CASES),
Park, Dojin ; Kim, Hyunjun ; Han, Hwansoo - p. 15-16 , 2020
Link: https://doi.org/10.1109/..
 
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10

Caching Cost Model for In-memory Data Analytics Framework:

, In: The 9th International Conference on Smart Media and Applications,
Jeong, Minseop ; Park, Seongsoo ; Han, Hwansoo - p. 187-189 , 2020
Link: https://dl.acm.org/doi/1..
 
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11

Compiler-Assisted GPU Thread Throttling for Reduced Cache C..:

, In: Proceedings of the 48th International Conference on Parallel Processing,
Kim, Hyunjun ; Hong, Sungin ; Lee, Hyeonsu.. - p. 1-10 , 2019
Link: https://dl.acm.org/doi/1..
 
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12

Static code transformations for thread‐dense memory accesse..:

Kim, Hyunjun ; Hong, Sungin ; Park, Jeonghwan.
Concurrency and Computation: Practice and Experience.  32 (2019)  5 - p. , 2019
Link: https://doi.org/10.1002/..
 
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13

Multithreaded double queuing for balanced CPU-GPU memory co..:

, In: Proceedings of the 34th ACM/SIGAPP Symposium on Applied Computing,
Cho, Sanghun ; Hong, Jaewan ; Choi, Jungsik. - p. 1444-1450 , 2019
Link: https://dl.acm.org/doi/1..
 
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14

Balanced cache bypassing for critical warp reduction : w..:

, In: Proceedings of the 2017 International Conference on Compilers, Architectures and Synthesis for Embedded Systems Companion,
Hong, Sungin ; Kim, Hyunjun ; Han, Hwansoo - p. 1-2 , 2017
Link: https://dl.acm.org/doi/1..
 
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15

Escalating Memory Accesses to Shared Memory by Profiling Re..:

, In: Proceedings of the 10th International Conference on Ubiquitous Information Management and Communication,
Ko, Yohan ; Kim, Hyunjun ; Han, Hwansoo - p. 1-8 , 2016
Link: https://dl.acm.org/doi/1..
 
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