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CoolEmAll: Models and Tools for Planning and Operating Energy Efficient Data Centres., , , , , , , , , and 9 other author(s). Handbook on Data Centers, Springer, (2015)Modeling Impact of Power- and Thermal-Aware Fans Management on Data Center Energy Consumption., , and . e-Energy, page 253-258. ACM, (2015)VEDLIoT: Very Efficient Deep Learning in IoT., , , , , , , , , and 26 other author(s). DATE, page 963-968. IEEE, (2022)LEGaTO: towards energy-efficient, secure, fault-tolerant toolset for heterogeneous computing., , , , , , , , , and 26 other author(s). CF, page 276-278. ACM, (2018)Energy efficiency of sequence alignment tools - Software and hardware perspectives., , , , , , , and . Future Gener. Comput. Syst., (2017)VEDLIoT: Very Efficient Deep Learning in IoT., , , , , , , , , and 26 other author(s). CoRR, (2022)LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing., , , , , , , , , and 35 other author(s). CoRR, (2019)LEGaTO: first steps towards energy-efficient toolset for heterogeneous computing., , , , , , , , , and 26 other author(s). SAMOS, page 210-217. ACM, (2018)Intelligent thermal management in M2DC system., , , , and . e-Energy, page 309-315. ACM, (2017)Modeling Data Center Building Blocks for Energy-Efficiency and Thermal Simulations., , , , , and . E2DC, volume 8343 of Lecture Notes in Computer Science, page 66-82. Springer, (2013)