| Deep Neural Network Approximation for Custom Hardware: Where We've Been, Where We're Going E Wang, JJ Davis, R Zhao, HC Ng, X Niu, W Luk, PYK Cheung, ... ACM Computing Surveys 52 (2), 40:1--40:39, 2019 | 64 | 2019 |
| Adaptive Energy Minimization of Embedded Heterogeneous Systems using Regression-based Learning S Yang, RA Shafik, GV Merrett, E Stott, JM Levine, JJ Davis, ... International Workshop on Power and Timing Modeling, Optimization and …, 2015 | 49 | 2015 |
| LUTNet: Rethinking Inference in FPGA Soft Logic E Wang, JJ Davis, PYK Cheung, GA Constantinides IEEE Symposium on Field-programmable Custom Computing Machines (FCCM) 2019 …, 2019 | 22 | 2019 |
| A PYNQ-based Framework for Rapid CNN Prototyping E Wang, JJ Davis, PYK Cheung IEEE Symposium on Field-programmable Custom Computing Machines (FCCM) 2018 …, 2018 | 18 | 2018 |
| KAPow: A System Identification Approach to Online Per-Module Power Estimation in FPGA Designs E Hung, JJ Davis, JM Levine, EA Stott, PYK Cheung, GA Constantinides IEEE Symposium on Field-programmable Custom Computing Machines (FCCM) 2016 …, 2016 | 11 | 2016 |
| Achieving Low-overhead Fault Tolerance for Parallel Accelerators with Dynamic Partial Reconfiguration JJ Davis, PYK Cheung International Conference on Field-programmable Logic and Applications (FPL …, 2014 | 10 | 2014 |
| Hardware Compilation of Deep Neural Networks: An Overview (invited) R Zhao, S Liu, HC Ng, E Wang, JJ Davis, X Niu, X Wang, H Shi, ... IEEE International Conference on Application-specific Systems, Architectures …, 2018 | 9 | 2018 |
| Voltage, Throughput, Power, Reliability, and Multicore Scaling F Xia, A Rafiev, A Aalsaud, M Al-Hayanni, JJ Davis, J Levine, A Mokhov, ... IEEE Computer 50 (8), 34--45, 2017 | 8 | 2017 |
| LUTNet: Learning FPGA Configurations for Highly Efficient Neural Network Inference E Wang, JJ Davis, PYK Cheung, GA Constantinides IEEE Transactions on Computers 69 (12), 1795--1808, 2020 | 7 | 2020 |
| ARCHITECT: Arbitrary-precision Constant-hardware Iterative Compute H Li, JJ Davis, J Wickerson, GA Constantinides International Conference on Field-programmable Technology (FPT) 2017, 73--79, 2018 | 7 | 2018 |
| KAPow: High-accuracy, Low-overhead Online Per-module Power Estimation for FPGA Designs JJ Davis, E Hung, JM Levine, EA Stott, PYK Cheung, GA Constantinides ACM Transactions on Reconfigurable Technology and Systems 11 (1), 2:1--2:22, 2018 | 6 | 2018 |
| An Application- and Platform-agnostic Runtime Management Framework for Multicore Systems GM Bragg, C Leech, D Balsamo, JJ Davis, E Wachter, GV Merrett, ... International Joint Conference on Pervasive and Embedded Computing and …, 2018 | 5* | 2018 |
| KOCL: Power Self-awareness for Arbitrary FPGA-SoC-accelerated OpenCL Applications JJ Davis, JM Levine, EA Stott, E Hung, PYK Cheung, GA Constantinides IEEE Design & Test 34 (6), 36--45, 2017 | 4 | 2017 |
| Datapath Fault Tolerance for Parallel Accelerators JJ Davis, PYK Cheung International Conference on Field-programmable Technology (FPT) 2013, 366--369, 2014 | 4 | 2014 |
| Digit Elision for Arbitrary-accuracy Iterative Computation H Li, JJ Davis, J Wickerson, GA Constantinides IEEE Symposium on Computer Arithmetic (ARITH) 2018, 107--114, 2018 | 2 | 2018 |
| STRIPE: Signal Selection for Runtime Power Estimation JJ Davis, JM Levine, EA Stott, E Hung, PYK Cheung, GA Constantinides International Confererence on Field-programmable Logic and Applications (FPL …, 2017 | 2 | 2017 |
| Reduced-precision Algorithm-based Fault Tolerance for FPGA-implemented Accelerators JJ Davis, PYK Cheung International Symposium on Applied Reconfigurable Computing (ARC) 2016 9625 …, 2016 | 2 | 2016 |
| Reducing Overheads for Fault-tolerant Datapaths with Dynamic Partial Reconfiguration JJ Davis, PYK Cheung IEEE Symposium on Field-programmable Custom Computing Machines (FCCM) 2014 …, 2014 | 2 | 2014 |
| ARCHITECT: Arbitrary-precision Hardware with Digit Elision for Efficient Iterative Compute H Li, JJ Davis, J Wickerson, GA Constantinides IEEE Transactions on Very Large Scale Integration (VLSI) Systems 28 (2), 516 …, 2019 | 1 | 2019 |
| Enabling Binary Neural Network Training on the Edge E Wang, JJ Davis, D Moro, P Zielinski, C Coelho, S Chatterjee, ... | | 2021 |
Peter Y K CheungProfessor of Digital Systems, Imperial College LondonVerified email at imperial.ac.uk
