Taesu Kim
Taesu Kim
Verified email at postech.ac.kr
Cited by
Cited by
Improved Synapse Device With MLC and Conductance Linearity Using Quantized Conduction for Neuromorphic Systems
S Lim, C Sung, H Kim, T Kim, J Song, JJ Kim, H Hwang
IEEE Electron Device Letters 39 (2), 312-315, 2018
Input voltage mapping optimized for resistive memory-based deep neural network hardware
T Kim, H Kim, J Kim, JJ Kim
IEEE Electron Device Letters 38 (9), 1228-1231, 2017
Effect of conductance linearity and multi-level cell characteristics of TaOx-based synapse device on pattern recognition accuracy of neuromorphic system
C Sung, S Lim, H Kim, T Kim, K Moon, J Song, JJ Kim, H Hwang
Nanotechnology 29 (11), 115203, 2018
Deep neural network optimized to resistive memory with nonlinear current-voltage characteristics
H Kim, T Kim, J Kim, JJ Kim
ACM Journal on Emerging Technologies in Computing Systems (JETC) 14 (2), 1-17, 2018
Viterbi-based Pruning for Sparse Matrix with Fixed and High Index Compression Ratio
D Lee, D Ahn, T Kim, PI Chuang, JJ Kim
Efficient Synapse Memory Structure for Reconfigurable Digital Neuromorphic Hardware
J Kim, J Koo, T Kim, JJ Kim
Frontiers in Neuroscience 12, 2018
Double Viterbi: Weight Encoding for High Compression Ratio and Fast On-Chip Reconstruction for Deep Neural Network
D Ahn, D Lee, T Kim, JJ Kim
Area-Efficient and Variation-Tolerant In-Memory BNN Computing using 6T SRAM Array
J Kim, J Koo, T Kim, Y Kim, H Kim, S Yoo, JJ Kim
2019 Symposium on VLSI Circuits, C118-C119, 2019
A 44.1 TOPS/W Precision-Scalable Accelerator for Quantized Neural Networks in 28nm CMOS
S Ryu, H Kim, W Yi, J Koo, E Kim, Y Kim, T Kim, JJ Kim
2020 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2020
V-LSTM: An Efficient LSTM Accelerator Using Fixed Nonzero-Ratio Viterbi-Based Pruning
T Kim, D Ahn, JJ Kim
The 2020 ACM/SIGDA International Symposium on Field-Programmable Gate Arrays …, 2020
Configurable BCAM/TCAM Based on 6T SRAM Bit Cell and Enhanced Match Line Clamping
J Koo, E Kim, S Yoo, T Kim, S Ryu, JJ Kim
2019 IEEE Asian Solid-State Circuits Conference (A-SSCC), 223-226, 2019
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