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JunKyu Lee
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Performance comparison of cholesky decomposition on GPUs and FPGAs
D Yang, J Sun, J Lee, G Liang, DD Jenkins, GD Peterson, H Li
Symposium on Application Accelerators in High Performance Computing 7, 35, 2010
362010
Resource-efficient convolutional networks: A survey on model-, arithmetic-, and implementation-level techniques
JK Lee, L Mukhanov, AS Molahosseini, U Minhas, Y Hua, ...
ACM Computing Surveys 55 (13s), 1-36, 2023
352023
TOD: Transprecise object detection to maximise real-time accuracy on the edge
JK Lee, B Varghese, R Woods, H Vandierendonck
2021 IEEE 5th International Conference on Fog and Edge Computing (ICFEC), 53-60, 2021
162021
Comparison of two microcontroller boards for on-device model training in a keyword spotting task
NL Giménez, F Freitag, JK Lee, H Vandierendonck
2022 11th Mediterranean Conference on Embedded Computing (MECO), 1-4, 2022
142022
Energy-efficient iterative refinement using dynamic precision
JK Lee, H Vandierendonck, M Arif, GD Peterson, DS Nikolopoulos
IEEE Journal on Emerging and Selected Topics in Circuits and Systems 8 (4 …, 2018
122018
AIR: Iterative refinement acceleration using arbitrary dynamic precision
JK Lee, GD Peterson, DS Nikolopoulos, H Vandierendonck
Parallel Computing 97, 102663, 2020
112020
A fully pipelined kernel normalised least mean squares processor for accelerated parameter optimisation
NJ Fraser, DJM Moss, JK Lee, S Tridgell, CT Jin, PHW Leong
2015 25th International Conference on Field Programmable Logic and …, 2015
112015
Iterative refinement on FPGAs
JK Lee, GD Peterson
2011 Symposium on Application Accelerators in High-Performance Computing, 8-13, 2011
112011
ALU Architecture with Dynamic Precision Support
G Liang, JK Lee, GD Peterson
2012 Symposium on Application Accelerators in High Performance Computing, 26-33, 2012
102012
HASPRNG: hardware accelerated scalable parallel random number generators
JK Lee, Y Bi, GD Peterson, RJ Hinde, RJ Harrison
Computer Physics Communications 180 (12), 2574-2581, 2009
102009
Hardware accelerated scalable parallel random number generators for Monte Carlo methods
JK Lee, GD Peterson, RJ Harrison, RJ Hinde
2008 51st Midwest Symposium on Circuits and Systems, 177-180, 2008
102008
Towards lower precision adaptive filters: facts from backward error analysis of RLS
JK Lee, H Vandierendonck
IEEE Transactions on Signal Processing 69, 3446-3458, 2021
72021
FPGA implementations of kernel normalised least mean squares processors
NJ Fraser, J Lee, DJM Moss, J Faraone, S Tridgell, CT Jin, PHW Leong
ACM Transactions on Reconfigurable Technology and Systems (TRETS) 10 (4), 1-20, 2017
72017
The effects of weight quantization on online federated learning for the IoT: a case study
NL Giménez, JK Lee, F Freitag, H Vandierendonck
IEEE access, 2024
62024
Implementation of Hardware‐Accelerated Scalable Parallel Random Number Generators
JK Lee, GD Peterson, RJ Harrison, RJ Hinde
VLSI Design 2010 (1), 930821, 2010
62010
Mixed precision dense linear system solvers for high performance reconfigurable computing
J Lee, GD Peterson, RJ Harrison, RJ Hinde
ser. 2009 Symposium on Application Accelerators in High-Performance …, 2009
62009
Mixed-Precision Kernel Recursive Least Squares
JK Lee, DS Nikolopoulos, H Vandierendonck
IEEE Transactions on Neural Networks and Learning Systems 33 (3), 1284-1298, 2020
52020
Power-aware performance of mixed precision linear solvers for FPGAs and GPGPUs
JK Lee, J Sun, GD Peterson, RJ Harrison, RJ Hinde
Symposium on Application Accelerators in High Performance Computing, 2010
52010
Hardware accelerated scalable parallel random number generation
JK Lee
52007
Roma: Run-time object detection to maximize real-time accuracy
JK Lee, B Varghese, H Vandierendonck
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023
42023
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Articles 1–20