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DynCNN: Application Dynamism and Ambient Temperature Aware Neural Network Scheduler in Edge Devices for Traffic Control.

, , , and . COMPASS, page 513-528. ACM, (2022)

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High-Throughput CNN Inference on Embedded ARM Big.LITTLE Multicore Processors., , , , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 39 (10): 2254-2267 (2020)LightSim: A leakage aware ultrafast temperature simulator., , and . ASP-DAC, page 855-860. IEEE, (2014)High-Throughput CNN Inference on Embedded ARM big.LITTLE Multi-Core Processors., , , , , and . CoRR, (2019)Design and Development of Voice OTP Authentication System., , , , and . SPECOM (2), volume 14339 of Lecture Notes in Computer Science, page 513-528. Springer, (2023)Bang for the Buck: Evaluating the Cost-Effectiveness of Heterogeneous Edge Platforms for Neural Network Workloads., , , , and . SEC, page 94-107. IEEE, (2023)Demystifying TensorRT: Characterizing Neural Network Inference Engine on Nvidia Edge Devices., , , and . IISWC, page 226-237. IEEE, (2021)DynCNN: Application Dynamism and Ambient Temperature Aware Neural Network Scheduler in Edge Devices for Traffic Control., , , and . COMPASS, page 513-528. ACM, (2022)Leakage Power Aware Task Assignment Algorithms for Multicore Platforms., , and . ISVLSI, page 607-612. IEEE Computer Society, (2016)