References
- Bhatti K, Belleudy C and Auguin M (2010). Power management in real time embedded systems through online and adaptive interplay of DPM and DVFS policies. International Conference on Embedded and Ubiquitous Computing. IEEE, Hong Kong pp 184–191.
- Biswas A and Fujimoto R (2016). Profiling energy consumption in distributed simulations. In: ACM SIGSIM Conference on Principles of Advanced Discrete Simulation (PADS), Banff, ACM.
- Bryant RE (1977). Simulation of packet communication architecture computer systems M.S. thesis, MIT-LCS-TR-188, Massachusetts Institute of Technology.
- ChandyKMMisraJDistributed simulation: a case study in design and verification of distributed programsIEEE Transactions on Software Engineering1979SE-5544045210.1109/TSE.1979.230182
- Cho K-M, Liang C-H, Huang J-Y and Yang C-S (2011). Design and implementation of a general purpose power-saving scheduling algorithm for embedded systems. IEEE International Conference on Signal Processing, Communications and Computing. IEEE, Xi’an, pp 1–5.
- Czechowski K and Vuduc R (2013). A theoretical framework for algorithm-architecture co-design. In: Parallel Distributed Processing (IPDPS), 2013 IEEE 27th International Symposium. pp 791–802.
- Darema F (2004). Dynamic data driven applications systems: A new paradigm for application simulations and measurements. International Conference on Computational Science. Kraków, Springer: 662–669.
- Dongarra J, Ltaief H, Luszczek P and Weaver VM (2012). Energy footprint of advanced dense numerical linear algebra using tile algorithms on multicore architecture. In: The 2nd International Conference on Cloud and Green Computing.
- EsmaeilzadehHCaoTYangXBlackburnSMMcKinleyKSLooking back and looking forward: power, performance, and upheavalCommun. ACM201255710511410.1145/2209249.2209272
- Feng X, Ge R and Cameron KW (2005). Power and energy profiling of scientific applications on distributed systems. In: Proceedings of the 19th IEEE International Parallel and Distributed Processing Symposium (IPDPS). p 34.
- FreehVWLowenthalDKPanFKappiahNSpringerRRountreeBLFemalMEanalyzing the energy-time trade-off in high-performance computing applicationsIEEE Trans. Parallel Distrib. Syst.200718683584810.1109/TPDS.2007.1026
- Ge R, Feng X and Cameron KW (2005). Performance-constrained distributed DVS scheduling for scientific applications on power-aware clusters. In: Proceedings of the 2005 ACM/IEEE conference on Supercomputing. IEEE Computer Society, Washington, DC p 34.
- GeRFengXSongSChangH-CLiDCameronKWPowerpack: energy profiling and analysis of high-performance systems and applicationsIEEE Transactions on Parallel and Distributed Systems (TPDS)201021565867110.1109/TPDS.2009.76
- GonzalezRHorowitzMEnergy Dissipation in General Purpose MicroprocessorsIEEE Journal of Solid-State Circuits19963191277128410.1109/4.535411
- Grasso I, Radojkovic P, Rajovic N, Gelado I and Ramirez A (2014). Energy Efficient HPC on Embedded SoCs: Optimization Techniques for Mali GPU.In: Parallel and Distributed Processing Symposium, 2014 IEEE 28th International. pp 123–132.
- Hoeller A, Wanner L and Fröhlich A (2006). A hierarchical approach for power management on mobile embedded systems. In: From Model-Driven Design to Resource Management for Distributed Embedded Systems. pp 265–274.
- Hua S and Qu G (2003). approaching the maximum energy saving on embedded systems with multiple voltages. IEEE/ACM International Conference on Computer-Aided Design. p 26.
- Kamrani F and Ayani R (2007). Using on-line simulation for adaptive path planning of UAVs. In: Proceedings of the 11th IEEE International Symposium on Distributed Simulation and Real-Time Applications.
- KecklerSWDallyWJKhailanyBGarlandMGlascoDGPUs and the future of parallel computingMicro, IEEE201131571710.1109/MM.2011.89
- LubachevskyBDEfficient Distributed Event-Driven Simulations of Multiple-Loop NetworksCommunications of the ACM198932111112310.1145/63238.63247
- Madey GR, Blake MB, Poellabauer C, Lu H, McCune RR and Wei Y (2012). Applying DDDAS principles to command, control and mission planning for UAV swarms. In: Proceedings of the International Conference on Compuational Science.
- NealSKanitkarGFujimotoRMPower Consumption of Data Distribution Management for On-Line Simulations2014Principles of Advanced Discrete Simulation. Denver CoACM197204
- NicolDMParallel Discrete-Event Simulation of FCFS Stochastic Queueing NetworksSIGPLAN Notices198823912413710.1145/62116.62128
- NicolDMThe cost of conservative synchronization in parallel discrete event simulationsJournal of the Association for Computing Machinery199340230433310.1145/151261.151266
- Niu L and Quan G (2004). Reducing both dynamic and leakage energy consumption for hard real-time systems. In:International conference on Compilers, architecture, and synthesis for embedded systems pp 140–148.
- Quan G and Hu X (2001). Energy efficient fixed- priority scheduling for real-time systems on variable voltage processors. Design Automation Conference pp 828–833.
- Rajovic N, Carpenter PM, Gelado I, Puzovic N, Ramirez A and Valero M (2013). Supercomputing with Commodity CPUs: Are Mobile SoCs Ready for HPC? Proceedings of the International Conference on High Performance Computing, Networking, Storage and Analysis. New York, NY, USA, ACM: 40: 41–40:12.
- RajovicNRicoAVipondJGeladoIPuzovicNRamirezAExperiences with mobile processors for energy efficient HPCDesign Automation Test in Europe Conference Exhibition (DATE)20132013464468
- Saewong S and Rajkumar R (2003). Practical voltage- scaling for fixed-priority rt-systems. IEEE Real- Time and Embedded Technology and Applications Symposium pp 106–114.
- ShiWPerumallaKSFujimotoRMPower-aware State Dissemination in Mobile Distributed Virtual Environments2003San DiegoWorkshop on Parallel and Distributed Simulation
- StanisicLVideauBCronsioeJDegommeAMarangozova-MartinVLegrandAMehautJ-FPerformance analysis of HPC applications on low-power embedded platforms. DesignAutomation Test in Europe Conference Exhibition (DATE)20132013475480
- Unsal OS (2008). System-level power-aware computing in complex real-time and multimedia systems. Doctor of Philosophy Doctoral Dissertation, University of Massachusetts.
- WilliamsSWatermanAPattersonDRoofline: An insightful visual performance model for multicore architecturesCommun. ACM2009524657610.1145/1498765.1498785