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Namhyung Kim
Namhyung Kim
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Title
Cited by
Cited by
Year
Energy-efficient exclusive last-level hybrid caches consisting of SRAM and STT-RAM
N Kim, J Ahn, W Seo, K Choi
2015 IFIP/IEEE International Conference on Very Large Scale Integration …, 2015
182015
Exploration of trade-offs in the design of volatile STT–RAM cache
N Kim, K Choi
Journal of Systems Architecture 71, 23-31, 2016
152016
Acceleration of DNN backward propagation by selective computation of gradients
G Lee, H Park, N Kim, J Yu, S Jo, K Choi
Proceedings of the 56th Annual Design Automation Conference 2019, 1-6, 2019
142019
Benzene: An energy-efficient distributed hybrid cache architecture for manycore systems
N Kim, J Ahn, K Choi, D Sanchez, D Yoo, S Ryu
ACM Transactions on Architecture and Code Optimization (TACO) 15 (1), 1-23, 2018
122018
NVDIMM-C: A byte-addressable non-volatile memory module for compatibility with standard DDR memory interfaces
C Lee, W Shin, DJ Kim, Y Yu, SJ Kim, T Ko, D Seo, J Park, K Lee, S Choi, ...
2020 IEEE International Symposium on High Performance Computer Architecture …, 2020
102020
A design guideline for volatile STT-RAM with ECC and scrubbing
N Kim, K Choi
2015 International SoC Design Conference (ISOCC), 29-30, 2015
92015
Sgcn: Exploiting compressed-sparse features in deep graph convolutional network accelerators
M Yoo, J Song, J Lee, N Kim, Y Kim, J Lee
2023 IEEE International Symposium on High-Performance Computer Architecture …, 2023
72023
Computing apparatus and method for cache management
N Kim, AHN Junwhan, C Kiyoung, W Seo
US Patent 10,255,182, 2019
72019
ComPreEND: Computation pruning through predictive early negative detection for ReLU in a deep neural network accelerator
N Kim, H Park, D Lee, S Kang, J Lee, K Choi
IEEE Transactions on Computers 71 (7), 1537-1550, 2021
42021
Making a better use of caches for GCN accelerators with feature slicing and automatic tile morphing
M Yoo, J Song, J Lee, N Kim, Y Kim, J Lee
IEEE Computer Architecture Letters 20 (2), 102-105, 2021
42021
Slice-and-Forge: Making Better Use of Caches for Graph Convolutional Network Accelerators
M Yoo, J Song, H Lee, J Lee, N Kim, Y Kim, J Lee
Proceedings of the International Conference on Parallel Architectures and …, 2022
32022
Method of accelerating training process of neural network and neural network device thereof
S Lee, P Hanmin, LEE Gunhee, N Kim, YU Joonsang, C Kiyoung
US Patent App. 16/550,498, 2020
22020
How much computation power do you need for near-data processing in cloud?
N Kim, J Ahn, S Hong, H Chafi, K Choi
Proc. ASBD, 2017
22017
Memory device skipping refresh operation and operation method thereof
M Kim, N Kim, D Kim, DH Kim, C Park, D Seo, W Shin, C Lee, J Ilguy, ...
US Patent 11,610,624, 2023
12023
Semiconductor device and electronic device including the same
CM Lee, NH Kim, DJ Kim, MS Kim, DH Seo, WJ SHIN, YJ YU, IG Jung, ...
US Patent 11,915,782, 2024
2024
Memory system, operating method of the same, and controller of memory device
N Kim, D Kim, DH Kim, D Seo, J Song, I Choi
US Patent App. 18/222,563, 2024
2024
Electronic device, operation method of host, operation method of memory module, and operation method of memory device
W Shin, NH Kim, DJ Kim, DH Kim, D Seo, I Choi
US Patent 11,887,692, 2024
2024
Memory device including address table and operating method for memory controller
C Kim, T Ko, N Kim, DH Kim, B Kim, KIM Bobae, C Lee, K Cho, I Choi
US Patent App. 18/140,974, 2023
2023
Memory device capable of outputting fail data in parallel bit test and memory system including the memory device
D Kim, N Kim, DH Kim, D Seo, W Shin, I Choi
US Patent 11,721,408, 2023
2023
Accelerator controlling memory device, computing system including accelerator, and operating method of accelerator
M Kim, N Kim, D Kim, DH Kim, C Park, D Seo, W Shin, C Lee, J Ilguy, ...
US Patent 11,670,355, 2023
2023
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