James Pallister
James Pallister
University of Bristol
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BEEBS: open benchmarks for energy measurements on embedded platforms
J Pallister, S Hollis, J Bennett
arXiv preprint arXiv:1308.5174, 2013
592013
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
562015
Identifying compiler options to minimize energy consumption for embedded platforms
J Pallister, SJ Hollis, J Bennett
The Computer Journal 58 (1), 95-109, 2015
562015
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
162017
A high-level model of embedded flash energy consumption
J Pallister, K Eder, SJ Hollis, J Bennett
2014 International Conference on Compilers, Architecture and Synthesis for …, 2014
142014
Data dependent energy modelling: A worst case perspective
J Pallister, S Kerrison, J Morse, K Eder
Computing Research Repository, arXiv, 2015
132015
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
72015
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
32014
Exploring the fundamental differences between compiler optimisations for energy and for performance
J Pallister
University of Bristol, 2016
22016
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
22013
Software approaches and optimisations for energy efficiency in embedded systems
J Pallister
2013
SECTION A COMPUTER SCIENCE THEORY, METHODS AND TOOLS
N Grozev, R Buyya, M Beccuti, C Fornari, G Franceschinis, SM Halawani, ...
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
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Artikkelit 1–14