BEEBS: Open benchmarks for energy measurements on embedded platforms J Pallister, S Hollis, J Bennett arXiv preprint arXiv:1308.5174, 2013 | 135 | 2013 |
Identifying compiler options to minimize energy consumption for embedded platforms J Pallister, SJ Hollis, J Bennett The Computer Journal 58 (1), 95-109, 2015 | 95 | 2015 |
Static analysis of energy consumption for LLVM IR programs N Grech, K Georgiou, J Pallister, S Kerrison, J Morse, K Eder Proceedings of the 18th International Workshop on Software and Compilers for …, 2015 | 80 | 2015 |
Data dependent energy modeling for worst case energy consumption analysis J Pallister, S Kerrison, J Morse, K Eder Proceedings of the 20th International Workshop on Software and Compilers for …, 2017 | 42 | 2017 |
Data dependent energy modelling: A worst case perspective J Pallister, S Kerrison, J Morse, K Eder Computing Research Repository, arXiv, 2015 | 17 | 2015 |
A high-level model of embedded flash energy consumption J Pallister, K Eder, SJ Hollis, J Bennett Proceedings of the 2014 International Conference on Compilers, Architecture …, 2014 | 16 | 2014 |
Optimizing the flash-RAM energy trade-off in deeply embedded systems J Pallister, K Eder, SJ Hollis 2015 IEEE/ACM International Symposium on Code Generation and Optimization …, 2015 | 9 | 2015 |
Static energy consumption analysis of LLVM IR programs N Grech, K Georgiou, J Pallister, S Kerrison, K Eder Computing Research Repository, arXiv, 1-12, 2014 | 8 | 2014 |
BEEBS: open benchmarks for energy measurements on embedded platforms. CoRR abs/1308.5174 (2013) J Pallister, SJ Hollis, J Bennett arXiv preprint arXiv:1308.5174, 2013 | 8 | 2013 |
Exploring the fundamental differences between compiler optimisations for energy and for performance J Pallister University of Bristol, 2016 | 4 | 2016 |
The impact of different compiler options on energy consumption J Pallister, S Hollis, J Bennett First LPGPU Workshop on Power-Efficient GPU and Many-core Computing, 2013 | 3 | 2013 |
STM32F4 Energy Monitor J Pallister July, 2016 | 2 | 2016 |
Software approaches and optimisations for energy efficiency in embedded systems J Pallister | | 2013 |
ICT-ENERGY LETTERS Worst case energy modelling J Pallister, S Kerrison, J Morse, K Eder Power 224 (240), 256, 0 | | |
The alignment of code in the flash memory of deeply embedded SoCs can have a large impact on the total energy consumption of a computation. We investigate the effect of code … J Pallister, K Eder, SJ Hollis, J Bennett | | |