Actors Programming for the Mobile Cloud, 2014 IEEE 13th International Symposium on Parallel and Distributed Computing, pp.3-9, 2014. ,
DOI : 10.1109/ISPDC.2014.31
Introduction to machine learning, 2004. ,
The Case for Energy-Proportional Computing, Computer, vol.40, issue.12, pp.33-37, 2007. ,
DOI : 10.1109/MC.2007.443
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.128.5419
A Taxonomy and Survey of Energy-Efficient Data Centers and Cloud Computing Systems, Elsevier Advances in Computers, vol.82, issue.2, pp.47-111, 2011. ,
DOI : 10.1016/B978-0-12-385512-1.00003-7
Energy-Aware High Performance Computing: A Taxonomy Study, 2011 IEEE 17th International Conference on Parallel and Distributed Systems, pp.953-958, 2011. ,
DOI : 10.1109/ICPADS.2011.59
How clean is your cloud? Report, Greenpeace International, 2012. ,
Wool-A work stealing library, ACM SIGARCH Computer Architecture News, vol.36, issue.5, pp.93-100, 2009. ,
DOI : 10.1145/1556444.1556457
Using multiple energy gears in MPI programs on a power-scalable cluster, Proceedings of the tenth ACM SIGPLAN symposium on Principles and practice of parallel programming , PPoPP '05, pp.164-173, 2005. ,
DOI : 10.1145/1065944.1065967
PEACH, Proceedings of the 11th ACM Conference on Computing Frontiers, CF '14, pp.1-24, 2014. ,
DOI : 10.1145/2597917.2597948
A universal modular ACTOR formalism for artificial intelligence, International Joint Conference on Artificial Intelligence (IJCAI), pp.235-245, 1973. ,
An integrated GPU power and performance model, International Symposium on Computer Architecture (ISCA), pp.280-289, 2010. ,
DOI : 10.1145/1815961.1815998
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.332.3923
SEEP: Exploiting symbolic execution for energy-aware programming, Workshop on Power-Aware Computing and Systems (HotPower), pp.1-4, 2011. ,
On the energy efficiency of graphics processing units for scientific computing, 2009 IEEE International Symposium on Parallel & Distributed Processing, pp.1-8, 2009. ,
DOI : 10.1109/IPDPS.2009.5160980
Hybrid MPI/OpenMP power-aware computing, 2010 IEEE International Symposium on Parallel & Distributed Processing (IPDPS), pp.1-12, 2010. ,
DOI : 10.1109/IPDPS.2010.5470463
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.306.7812
Qilin, Proceedings of the 42nd Annual IEEE/ACM International Symposium on Microarchitecture, Micro-42, pp.45-55, 2009. ,
DOI : 10.1145/1669112.1669121
STAMP: Stanford transactional applications for multi-processing, International Symposium on Workload Characterization (IISWC), pp.35-46, 2008. ,
Energyaware high performance computing with graphic processing units, Workshop on Power Aware Computing and Systems (HotPower), pp.11-11, 2008. ,
OptiML: An implicitly parallel domain-specific language for machine learning, International Conference on Machine Learning (ICML), pp.609-616, 2011. ,
Delite, ACM Transactions on Embedded Computing Systems, vol.13, issue.4s, pp.1-25, 2014. ,
DOI : 10.1145/2584665
Composition and Reuse with Compiled Domain-Specific Languages, European Conference on Object- Oriented Programming, pp.52-78, 2013. ,
DOI : 10.1007/978-3-642-39038-8_3
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.418.1718
SPRAT: Runtime processor selection for energy-aware computing, 2008 IEEE International Conference on Cluster Computing, pp.386-393, 2008. ,
DOI : 10.1109/CLUSTR.2008.4663799
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.353.5204
Performance-effective and low-complexity task scheduling for heterogeneous computing, IEEE Transactions on Parallel and Distributed Systems, vol.13, issue.3, pp.260-274, 2002. ,
DOI : 10.1109/71.993206
Energy-aware software: Challenges, opportunities and strategies, Journal of Computational Science, vol.4, issue.6, pp.444-449, 2013. ,
DOI : 10.1016/j.jocs.2013.01.005
Adaptive Optimization for Petascale Heterogeneous CPU/GPU Computing, 2010 IEEE International Conference on Cluster Computing, pp.19-28, 2010. ,
DOI : 10.1109/CLUSTER.2010.12