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LEGaTO: Low-Energy, Secure, and Resilient Toolset for Heterogeneous Computing., , , , , , , , , and 33 other author(s). DATE, page 169-174. IEEE, (2020)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)VEDLIoT: Very Efficient Deep Learning in IoT., , , , , , , , , and 26 other author(s). CoRR, (2022)Energy efficiency of sequence alignment tools - Software and hardware perspectives., , , , , , , and . Future Gener. Comput. Syst., (2017)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)