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Showing results 1 to 14 of 14

Article
A Dual-Precision and Low-Power CNN Inference Engine Using a Heterogeneous Processing-in-Memory Architecture
  • Jung, Sangwoo ; 
  • Lee, Jaehyun ; 
  • Park, Dahoon ; 
  • Lee, Youngjoo ; 
  • Yoon, Jong-Hyeok ; 
  • Kung, Jaeha
  • 2024-12
  • Jung, Sangwoo. (2024-12). A Dual-Precision and Low-Power CNN Inference Engine Using a Heterogeneous Processing-in-Memory Architecture. IEEE Transactions on Circuits and Systems I: Regular Papers, 71(12), 5546–5559. doi: 10.1109/TCSI.2024.3395842
  • Institute of Electrical and Electronics Engineers
  • View : 380
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Article
A Memory-Efficient Hardware Architecture for a Pulse Doppler Radar Vehicle Detector
  • 2011-05
  • Kim, Sang-Dong. (2011-05). A Memory-Efficient Hardware Architecture for a Pulse Doppler Radar Vehicle Detector. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E94A(5), 1210–1213. doi: 10.1587/transfun.E94.A.1210
  • Oxford University Press
  • View : 894
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Article
A Memory-Efficient Hardware Architecture for a Pulse Doppler Radar Vehicle Detector
  • 2011-05
  • Kim, Sang-Dong. (2011-05). A Memory-Efficient Hardware Architecture for a Pulse Doppler Radar Vehicle Detector. IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E94A(5), 1210–1213. doi: 10.1587/transfun.E94.A.1210
  • Oxford University Press
  • View : 468
  • Download : 0
Article
An Ultralow-Voltage Sensor Node Processor With Diverse Hardware Acceleration and Cognitive Sampling for Intelligent Sensing
  • Liu, Xin ; 
  • Zhou, Jun ; 
  • Wang, Chao ; 
  • Chang, Kah-Hyong ; 
  • Luo, Jianwen ; 
  • Lan, Jingjing ; 
  • Liao, Lei ; 
  • Lam, Yat-Hei ; 
  • Yang, Yongkui ; 
  • Wang, Bo ; 
    • et al
  • 2015-12
  • IEEE Transactions on Circuits and Systems II: Express Briefs, v.62, no.12, pp.1149 - 1153
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 1047
  • Download : 0
Article
AutoRelax: HW-SW Co-Optimization for Efficient SpGEMM Operations with Automated Relaxation in Deep Learning
  • Park, Sehun ; 
  • Kim, Jae-joon ; 
  • Kung, Jaeha
  • 2022-07
  • Park, Sehun. (2022-07). AutoRelax: HW-SW Co-Optimization for Efficient SpGEMM Operations with Automated Relaxation in Deep Learning. IEEE Transactions on Emerging Topics in Computing, 10(3), 1428–1442. doi: 10.1109/TETC.2021.3089848
  • IEEE Computer Society
  • View : 693
  • Download : 0
Article
Balancing Computation Loads and Optimizing Input Vector Loading in LSTM Accelerators
  • Park, Junki ; 
  • Yi, Wooseok ; 
  • Ahn, Daehyun ; 
  • Kung, Jaeha ; 
  • Kim, Jae-Joon
  • 2020-09
  • Park, Junki. (2020-09). Balancing Computation Loads and Optimizing Input Vector Loading in LSTM Accelerators. IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 39(9), 1889–1901. doi: 10.1109/TCAD.2019.2926482
  • Institute of Electrical and Electronics Engineers
  • View : 802
  • Download : 0
Article
BlockPIM: Enabling Sparse LLM Inference on Dense PIM Architectures
  • Kim, Seulki ; 
  • Jang, Yewon ; 
  • Jeon, Yunhyeong ; 
  • Ryu, Kyeonghyeon ; 
  • Kim, Daehoon
  • 2026-07
  • IEEE COMPUTER ARCHITECTURE LETTERS, v.25, no.2, pp.311 - 314
  • IEEE COMPUTER SOC
  • View : 74
  • Download : 0
Article
Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator
  • Park, Gunho ; 
  • Kung, Jaeha ; 
  • Lee, Youngjoo
  • 2021-07
  • Park, Gunho. (2021-07). Design and Analysis of Approximate Compressors for Balanced Error Accumulation in MAC Operator. IEEE Transactions on Circuits and Systems I: Regular Papers, 68(7), 2950–2961. doi: 10.1109/TCSI.2021.3073177
  • Institute of Electrical and Electronics Engineers
  • View : 870
  • Download : 0
Article
Exploiting OS-level Memory Offlining for DRAM Power Management
  • Lee, Seung. Hak. ; 
  • Kim, N.S. ; 
  • Kim, Daehoon
  • 2019-07
  • Lee, Seung. Hak. (2019-07). Exploiting OS-level Memory Offlining for DRAM Power Management. IEEE Computer Architecture Letters, 18(2), 141–144. doi: 10.1109/LCA.2019.2942914
  • Institute of Electrical and Electronics Engineers
  • View : 933
  • Download : 0
Article
Learned Performance Model for SSD
  • Lee, Hyeon Gyu ; 
  • Kim, Minwook ; 
  • Lee, Juwon ; 
  • Lee, Eunji ; 
  • Kim, Bryan S. ; 
  • Lee, Sungjin ; 
  • Kim, Yeseong ; 
  • Min, Sang Lyul ; 
  • Kim, Jin-Soo
  • 2021-07
  • Lee, Hyeon Gyu. (2021-07). Learned Performance Model for SSD. IEEE Computer Architecture Letters, 20(2), 154–157. doi: 10.1109/LCA.2021.3120728
  • Institute of Electrical and Electronics Engineers
  • View : 818
  • Download : 0
Article
Modeling Towards Incremental Early Analyzability of Networked Avionics Systems Using Virtual Integration
  • Nam, Min-Young ; 
  • Kang, Kyungtae ; 
  • Pellizzoni, Rodolfo ; 
  • Park, Kyung-Joon ; 
  • Kim, Jung-Eun ; 
  • Sha, Lui
  • 2012
  • Nam, Min-Young. (2012). Modeling Towards Incremental Early Analyzability of Networked Avionics Systems Using Virtual Integration. ACM Transactions on Embedded Computing Systems, 11(4). doi: 10.1145/2362336.2362348
  • Association for Computing Machinery
  • View : 937
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Article
Modeling Towards Incremental Early Analyzability of Networked Avionics Systems Using Virtual Integration
  • Nam, Min-Young ; 
  • Kang, Kyungtae ; 
  • Pellizzoni, Rodolfo ; 
  • Park, Kyung-Joon ; 
  • Kim, Jung-Eun ; 
  • Sha, Lui
  • 2012
  • Nam, Min-Young. (2012). Modeling Towards Incremental Early Analyzability of Networked Avionics Systems Using Virtual Integration. ACM Transactions on Embedded Computing Systems, 11(4). doi: 10.1145/2362336.2362348
  • Association for Computing Machinery
  • View : 469
  • Download : 0
Article
Reliability of Small Satellite Networks with Software-Defined Radio and Enhanced Multiple Access Protocol
  • Jung, Seunghwa ; 
  • Choi, Jihwan P.
  • 2021-06
  • Jung, Seunghwa. (2021-06). Reliability of Small Satellite Networks with Software-Defined Radio and Enhanced Multiple Access Protocol. doi: 10.1109/TAES.2021.3050652
  • Institute of Electrical and Electronics Engineers
  • View : 963
  • Download : 0
Article
Towards Scalable Analytics with Inference-Enabled Solid-State Drives
  • Kim, Minsub ; 
  • Kung, Jaeha ; 
  • Lee, Sungjin
  • 2020-01
  • Kim, Minsub. (2020-01). Towards Scalable Analytics with Inference-Enabled Solid-State Drives. IEEE Computer Architecture Letters, 19(1), 13–17. doi: 10.1109/LCA.2019.2930590
  • Institute of Electrical and Electronics Engineers
  • View : 1030
  • Download : 0
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