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Showing results 1 to 8 of 8

Conference
A 65nm 687.5-TOPS/W Drive Strength-based SRAM Compute-In-Memory Macro with Adaptive Dynamic Range for Edge AI applications
  • 2024-11-19
  • Choi, Dong-Gu. (2024-11-19). A 65nm 687.5-TOPS/W Drive Strength-based SRAM Compute-In-Memory Macro with Adaptive Dynamic Range for Edge AI applications. IEEE Asian Solid-State Circuits Conference. doi: 10.1109/A-SSCC60305.2024.10848920
  • IEEE Solid-State Circuits Society
  • View : 293
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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 : 227
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Conference
CAM-CIM: A Hybrid Compute-in-Memory Using Content-Addressable Memory with Subword Split Mapping for Reduced ADC Resolution
  • Jung, Sangwoo ; 
  • Lee, Hojin ; 
  • Lee, Yejin ; 
  • Park, Jiyong ; 
  • Park, Dahoon ; 
  • Shin, Hyunseob ; 
  • Yoon, Jong-Hyeok ; 
  • Kung, Jaeha
  • 2025-08-08
  • IEEE International Symposium on Low-Power Electronics and Design, pp.1 - 7
  • IEEE
  • View : 28
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Conference
LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training
  • Noh, Seock-Hwan ; 
  • Park, Junsang ; 
  • Park, Dahoon ; 
  • Koo, Jahyun ; 
  • Choi, Jeik ; 
  • Kung, Jaeha
  • 2022-10-25
  • Noh, Seock-Hwan. (2022-10-25). LightNorm: Area and Energy-Efficient Batch Normalization Hardware for On-Device DNN Training. IEEE International Conference on Computer Design, 443–450. doi: 10.1109/ICCD56317.2022.00072
  • IEEE Computer Society
  • View : 249
  • Download : 0
Conference
OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models
  • Koo, Jahyun ; 
  • Park, Dahoon ; 
  • Jung, Sangwoo ; 
  • Kung, Jaeha
  • 2024-06-25
  • Koo, Jahyun. (2024-06-25). OPAL: Outlier-Preserved Microscaling Quantization Accelerator for Generative Large Language Models. Design Automation Conference, 1–6. doi: 10.1145/3649329.3657323
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 87
  • Download : 0
Conference
RISC-V Driven Orchestration of Vector Processing Units and eFlash Compute-in-Memory Arrays for Fast and Accurate Keyword Spotting
  • Kang, Gunil ; 
  • Park, Dahoon ; 
  • Lee, Hojin ; 
  • Jung, Sangwoo ; 
  • Park, Jiyong ; 
  • Min, Jung Gyu ; 
  • Lee, Youngjoo ; 
  • Kung, Jaeha
  • 2025-01-23
  • Kang, Gunil. (2025-01-23). RISC-V Driven Orchestration of Vector Processing Units and eFlash Compute-in-Memory Arrays for Fast and Accurate Keyword Spotting. 30th Asia and South Pacific Design Automation Conference, ASP-DAC 2025, 1174–1180. doi: 10.1145/3658617.3697697
  • Association for Computing Machinery
  • View : 254
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Conference
SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation
  • Hwang, Sangwoo ; 
  • Lee, Seunghyun ; 
  • Park, Dahoon ; 
  • Lee, Donghun ; 
  • Kung, Jaeha
  • 2024-12-13
  • Hwang, Sangwoo. (2024-12-13). SpikedAttention: Training-Free and Fully Spike-Driven Transformer-to-SNN Conversion with Winner-Oriented Spike Shift for Softmax Operation. Conference on Neural Information Processing Systems (poster), 1–24.
  • Neural Information Processing Systems Foundation (NeurIPS Foundation)
  • View : 232
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Conference
ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack
  • 2021-11-22
  • Park, Dahoon. (2021-11-22). ZeBRA: Precisely Destroying Neural Networks with Zero-Data Based Repeated Bit Flip Attack. British Machine Vision Conference, 1–14.
  • British Machine Vision Association (BMVA)
  • View : 156
  • Download : 50
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