Daehyun Ahn

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 18

Top Topics

Reverse K Nearest Neighbor

High Compression Ratio

Diffusion Models

Top Venues

IEEE Trans. Comput. Aided Des. Integr. Circuits Syst.

Publications

Taesu Kim, Jongho Lee, Daehyun Ahn, Sarang Kim, Jiwoong Choi, Minkyu Kim, Hyungjun Kim
QUICK: Quantization-aware Interleaving and Conflict-free Kernel for efficient LLM inference. CoRR (2024)
Taesu Kim, Daehyun Ahn, Dongsoo Lee, Jae-Joon Kim
V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 42 (10) (2023)
Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
Temporal Dynamic Quantization for Diffusion Models. NeurIPS (2023)
Daehyun Ahn, Hyungjun Kim, Taesu Kim, Eunhyeok Park, Jae-Joon Kim
Searching for Robust Binary Neural Networks via Bimodal Parameter Perturbation. WACV (2023)
Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Taesu Kim, Daehyun Ahn, Hyungjun Kim, Jae-Joon kim
Leveraging Early-Stage Robustness in Diffusion Models for Efficient and High-Quality Image Synthesis. NeurIPS (2023)
Junhyuk So, Jungwon Lee, Daehyun Ahn, Hyungjun Kim, Eunhyeok Park
Temporal Dynamic Quantization for Diffusion Models. CoRR (2023)
Jiwoong Choi, Minkyu Kim, Daehyun Ahn, Taesu Kim, Yulhwa Kim, Dongwon Jo, Hyesung Jeon, Jae-Joon Kim, Hyungjun Kim
Squeezing Large-Scale Diffusion Models for Mobile. CoRR (2023)
Naebeom Park, Daehyun Ahn, Jae-Joon Kim
Workload-Balanced Graph Attention Network Accelerator with Top-K Aggregation Candidates. ICCAD (2022)
Sungju Ryu, Youngtaek Oh, Taesu Kim, Daehyun Ahn, Jae-Joon Kim
SPRITE: Sparsity-Aware Neural Processing Unit with Constant Probability of Index-Matching. DATE (2021)
Hyunmyung Oh, Hyungjun Kim, Daehyun Ahn, Jihoon Park, Yulhwa Kim, Inhwan Lee, Jae-Joon Kim
Energy-efficient charge sharing-based 8T2C SRAM in-memory accelerator for binary neural networks in 28nm CMOS. A-SSCC (2021)
Daehyun Ahn, Hyunmyung Oh, Hyungjun Kim, Yulhwa Kim, Jae-Joon Kim
Maximizing Parallel Activation of Word-Lines in MRAM-Based Binary Neural Network Accelerators. IEEE Access 9 (2021)
Taesu Kim, Daehyun Ahn, Jae-Joon Kim
V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning. FPGA (2020)
Junki Park, Hyunsung Yoon, Daehyun Ahn, Jungwook Choi, Jae-Joon Kim
OPTIMUS: OPTImized matrix MUltiplication Structure for Transformer neural network accelerator. MLSys (2020)
Naebeom Park, Yulhwa Kim, Daehyun Ahn, Taesu Kim, Jae-Joon Kim
Time-step interleaved weight reuse for LSTM neural network computing. ISLPED (2020)
Junki Park, Wooseok Yi, Daehyun Ahn, Jaeha Kung, Jae-Joon Kim
Balancing Computation Loads and Optimizing Input Vector Loading in LSTM Accelerators. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 39 (9) (2020)
Daehyun Ahn, Dongsoo Lee, Taesu Kim, Jae-Joon Kim
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network. ICLR (Poster) (2019)
Dongsoo Lee, Daehyun Ahn, Taesu Kim, Pierce I-Jen Chuang, Jae-Joon Kim
Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio. ICLR (Poster) (2018)
Yulhwa Kim, Hyungjun Kim, Daehyun Ahn, Jae-Joon Kim
Input-Splitting of Large Neural Networks for Power-Efficient Accelerator with Resistive Crossbar Memory Array. ISLPED (2018)