Jae-sun Seo
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Throughput-optimized OpenCL-based FPGA accelerator for large-scale convolutional neural networks
N Suda, V Chandra, G Dasika, A Mohanty, Y Ma, S Vrudhula, J Seo, ...
Proceedings of the 2016 ACM/SIGDA International Symposium on Field …, 2016
A 45nm CMOS neuromorphic chip with a scalable architecture for learning in networks of spiking neurons
J Seo, B Brezzo, Y Liu, BD Parker, SK Esser, RK Montoye, B Rajendran, ...
2011 IEEE Custom Integrated Circuits Conference (CICC), 1-4, 2011
Optimizing loop operation and dataflow in FPGA acceleration of deep convolutional neural networks
Y Ma, Y Cao, S Vrudhula, J Seo
Proceedings of the 2017 ACM/SIGDA International Symposium on Field …, 2017
XNOR-SRAM: In-memory computing SRAM macro for binary/ternary deep neural networks
S Yin, Z Jiang, JS Seo, M Seok
IEEE Journal of Solid-State Circuits 55 (6), 1733-1743, 2020
Optimizing the convolution operation to accelerate deep neural networks on FPGA
Y Ma, Y Cao, S Vrudhula, J Seo
IEEE Transactions on Very Large Scale Integration (VLSI) Systems 26 (7 …, 2018
Large-scale neuromorphic spiking array processors: A quest to mimic the brain
CS Thakur, JL Molin, G Cauwenberghs, G Indiveri, K Kumar, N Qiao, ...
Frontiers in neuroscience 12, 891, 2018
Scalable and modularized RTL compilation of convolutional neural networks onto FPGA
Y Ma, N Suda, Y Cao, J Seo, S Vrudhula
2016 26th international conference on field programmable logic and …, 2016
Specifications of nanoscale devices and circuits for neuromorphic computational systems
B Rajendran, Y Liu, J Seo, K Gopalakrishnan, L Chang, DJ Friedman, ...
IEEE Transactions on Electron Devices 60 (1), 246-253, 2012
XNOR-RRAM: A scalable and parallel resistive synaptic architecture for binary neural networks
X Sun, S Yin, X Peng, R Liu, J Seo, S Yu
2018 Design, Automation & Test in Europe Conference & Exhibition (DATE …, 2018
Mitigating effects of non-ideal synaptic device characteristics for on-chip learning
PY Chen, B Lin, IT Wang, TH Hou, J Ye, S Vrudhula, J Seo, Y Cao, S Yu
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 194-199, 2015
Benchmarking TinyML systems: Challenges and direction
CR Banbury, VJ Reddi, M Lam, W Fu, A Fazel, J Holleman, X Huang, ...
arXiv preprint arXiv:2003.04821, 2020
An automatic RTL compiler for high-throughput FPGA implementation of diverse deep convolutional neural networks
Y Ma, Y Cao, S Vrudhula, J Seo
2017 27th International Conference on Field Programmable Logic and …, 2017
Fully parallel write/read in resistive synaptic array for accelerating on-chip learning
L Gao, IT Wang, PY Chen, S Vrudhula, J Seo, Y Cao, TH Hou, S Yu
Nanotechnology 26 (45), 455204, 2015
Reconfigurable and customizable general-purpose circuits for neural networks
BV Brezzo, L Chang, SK Esser, DJ Friedman, Y Liu, DS Modha, ...
US Patent 8,856,055, 2014
Technology-design co-optimization of resistive cross-point array for accelerating learning algorithms on chip
PY Chen, D Kadetotad, Z Xu, A Mohanty, B Lin, J Ye, S Vrudhula, J Seo, ...
2015 Design, Automation & Test in Europe Conference & Exhibition (DATE), 854-859, 2015
ALAMO: FPGA acceleration of deep learning algorithms with a modularized RTL compiler
Y Ma, N Suda, Y Cao, S Vrudhula, J Seo
Integration 62, 14-23, 2018
C3SRAM: An in-memory-computing SRAM macro based on robust capacitive coupling computing mechanism
Z Jiang, S Yin, JS Seo, M Seok
IEEE Journal of Solid-State Circuits 55 (7), 1888-1897, 2020
Fully parallel RRAM synaptic array for implementing binary neural network with (+ 1,− 1) weights and (+ 1, 0) neurons
X Sun, X Peng, PY Chen, R Liu, J Seo, S Yu
2018 23rd Asia and South Pacific Design Automation Conference (ASP-DAC), 574-579, 2018
Low-power, adaptive neuromorphic systems: Recent progress and future directions
A Basu, J Acharya, T Karnik, H Liu, H Li, JS Seo, C Song
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (1), 6-27, 2018
High-bandwidth and low-energy on-chip signaling with adaptive pre-emphasis in 90nm CMOS
J Seo, R Ho, J Lexau, M Dayringer, D Sylvester, D Blaauw
2010 IEEE International Solid-State Circuits Conference-(ISSCC), 182-183, 2010
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