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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
352010
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
142021
AIR: Iterative refinement acceleration using arbitrary dynamic precision
JK Lee, GD Peterson, DS Nikolopoulos, H Vandierendonck
Parallel Computing 97, 102663, 2020
132020
Resource-efficient deep learning: A survey on model-, arithmetic-, and implementation-level techniques
JK Lee, L Mukhanov, AS Molahosseini, U Minhas, Y Hua, JM del Rincon, ...
arXiv preprint arXiv:2112.15131, 2021
112021
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
112018
Iterative refinement on FPGAs
JK Lee, GD Peterson
2011 Symposium on Application Accelerators in High-Performance Computing, 8-13, 2011
112011
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
102022
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
102015
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
62021
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
62017
Implementation of hardware-accelerated scalable parallel random number generators
JK Lee, GD Peterson, RJ Harrison, RJ Hinde
VLSI Design 2010, 1-11, 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
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
52023
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
32023
AIR: Adaptive dynamic precision iterative refinement
JK Lee
32012
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Articles 1–20