| 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, 2010 | 33 | 2010 |
| AIR: Iterative refinement acceleration using arbitrary dynamic precision JK Lee, GD Peterson, DS Nikolopoulos, H Vandierendonck Parallel Computing 97, 102663, 2020 | 10 | 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 | 10 | 2015 |
| 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 |
| 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 | 9 | 2021 |
| 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 | 9 | 2018 |
| Iterative refinement on FPGAs JK Lee, GD Peterson 2011 Symposium on Application Accelerators in High-Performance Computing, 8-13, 2011 | 9 | 2011 |
| 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 |
| 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 | 5 | 2017 |
| 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 |
| Implementation of hardware-accelerated scalable parallel random number generators JK Lee, GD Peterson, RJ Harrison, RJ Hinde VLSI Design 2010, 1-11, 2010 | 5 | 2010 |
| Hardware accelerated scalable parallel random number generation JK Lee | 5 | 2007 |
| 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 | 4 | 2021 |
| AIR: Adaptive dynamic precision iterative refinement JK Lee | 3 | 2012 |
| Accelerator performance comparison for mixed precision linear solvers JK Lee, J Sun, G Peterson, R Harrison, R Hinde Field-Programmable Custom Computing Machines, Annual IEEE Symposium on, 2010 | 3 | 2010 |
| 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 | 2 | 2021 |
| The role of precision for iterative refinement JK Lee, GD Peterson 2012 Symposium on Application Accelerators in High Performance Computing …, 2012 | 2 | 2012 |
| Increased leverage of transprecision computing for machine vision applications at the edge UI Minhas, JK Lee, L Mukhanov, G Karakonstantis, H Vandierendonck, ... Journal of Signal Processing Systems 94 (10), 1101-1118, 2022 | 1 | 2022 |
Gregory D. PetersonUniversity of TennesseeVerified email at utk.edu
