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Nimble: Efficiently Compiling Dynamic Neural Networks for Model Inference., , , , , , , , и . MLSys, mlsys.org, (2021)Enable flexible spectrum access with spectrum virtualization., , , и . DySPAN, стр. 47-58. IEEE, (2012)Nexus: a GPU cluster engine for accelerating DNN-based video analysis., , , , , , , и . SOSP, стр. 322-337. ACM, (2019)GZKP: A GPU Accelerated Zero-Knowledge Proof System., , , , , , , , , и . ASPLOS (2), стр. 340-353. ACM, (2023)TVM: An Automated End-to-End Optimizing Compiler for Deep Learning., , , , , , , , , и 2 other автор(ы). OSDI, стр. 578-594. USENIX Association, (2018)DietCode: Automatic Optimization for Dynamic Tensor Programs., , , , , , , , , и . MLSys, mlsys.org, (2022)System for Serving Deep Neural Networks Efficiently.. University of Washington, USA, (2019)Fast Video Classification via Adaptive Cascading of Deep Models., , , и . CoRR, (2016)MCDNN: An Approximation-Based Execution Framework for Deep Stream Processing Under Resource Constraints., , , , , и . MobiSys, стр. 123-136. ACM, (2016)Distream: scaling live video analytics with workload-adaptive distributed edge intelligence., , , и . SenSys, стр. 409-421. ACM, (2020)