| 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 | 37 | 2010 |
| 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 | 36 | 2023 |
| 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 | 16 | 2021 |
| 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 | 14 | 2022 |
| 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 | 13 | 2018 |
| AIR: Iterative refinement acceleration using arbitrary dynamic precision JK Lee, GD Peterson, DS Nikolopoulos, H Vandierendonck Parallel Computing 97, 102663, 2020 | 11 | 2020 |
| 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 | 11 | 2015 |
| Iterative refinement on FPGAs JK Lee, GD Peterson 2011 Symposium on Application Accelerators in High-Performance Computing, 8-13, 2011 | 11 | 2011 |
| ALU Architecture with Dynamic Precision Support G Liang, JK Lee, GD Peterson 2012 Symposium on Application Accelerators in High Performance Computing, 26-33, 2012 | 10 | 2012 |
| 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 | 10 | 2009 |
| 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 | 10 | 2008 |
| 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 | 8 | 2021 |
| 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 | 7 | 2017 |
| The effects of weight quantization on online federated learning for the iot: A case study NL Giménez, J Lee, F Freitag, H Vandierendonck IEEE access 12, 5490-5502, 2024 | 6 | 2024 |
| Implementation of Hardware‐Accelerated Scalable Parallel Random Number Generators JK Lee, GD Peterson, RJ Harrison, RJ Hinde VLSI Design 2010 (1), 930821, 2010 | 6 | 2010 |
| 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 | 6 | 2009 |
| 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 | 5 | 2023 |
| 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 | 5 | 2020 |
| AIR: Adaptive dynamic precision iterative refinement JK Lee | 5 | 2012 |
| 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 | 5 | 2010 |
Hans VandierendonckQueen's University Belfast, ProfessorOverená e-mailová adresa na: qub.ac.uk