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Collaborative Execution of Deep Neural Networks on Internet of Things Devices., , , and . CoRR, (2019)Characterizing the Execution of Deep Neural Networks on Collaborative Robots and Edge Devices., , , , , , , , , and 1 other author(s). PEARC, page 65:1-65:6. ACM, (2019)Using the First-Level Caches as Filters to Reduce the Pollution Caused by Speculative Memory References., , , and . Int. J. Parallel Program., 33 (5): 529-559 (2005)Distributed Perception by Collaborative Robots., , , , and . IEEE Robotics Autom. Lett., 3 (4): 3709-3716 (2018)Batch-Aware Unified Memory Management in GPUs for Irregular Workloads., , , , and . ASPLOS, page 1357-1370. ACM, (2020)ASPLOS 2020 was canceled because of COVID-19..Tango: An Optimizing Compiler for Just-In-Time RTL Simulation., , and . DATE, page 157-162. IEEE, (2020)Reducing Inference Latency with Concurrent Architectures for Image Recognition., , , and . CoRR, (2020)Hardware-Assisted Code-Pointer Tagging for Forward-Edge Control-Flow Integrity., , , , and . IEEE Comput. Archit. Lett., 22 (2): 117-120 (July 2023)Power Modeling for GPU Architectures Using McPAT., , , , , and . ACM Trans. Design Autom. Electr. Syst., 19 (3): 26:1-26:24 (2014)GPU Database Systems Characterization and Optimization., , , , and . Proc. VLDB Endow., 17 (3): 441-454 (November 2023)