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Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference., , , , , , , , and . MLSys, mlsys.org, (2021)Enable flexible spectrum access with spectrum virtualization., , , and . DySPAN, page 47-58. IEEE, (2012)Nexus: a GPU cluster engine for accelerating DNN-based video analysis., , , , , , , and . SOSP, page 322-337. ACM, (2019)TVM: An Automated End-to-End Optimizing Compiler for Deep Learning., , , , , , , , , and 2 other author(s). OSDI, page 578-594. USENIX Association, (2018)GZKP: A GPU Accelerated Zero-Knowledge Proof System., , , , , , , , , and . ASPLOS (2), page 340-353. ACM, (2023)DietCode: Automatic Optimization for Dynamic Tensor Programs., , , , , , , , , and . MLSys, mlsys.org, (2022)Fast Video Classification via Adaptive Cascading of Deep Models., , , and . CoRR, (2016)System for Serving Deep Neural Networks Efficiently.. University of Washington, USA, (2019)Lorien: Efficient Deep Learning Workloads Delivery., , , , , and . SoCC, page 18-32. ACM, (2021)MCDNN: An Approximation-Based Execution Framework for Deep Stream Processing Under Resource Constraints., , , , , and . MobiSys, page 123-136. ACM, (2016)