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Restoring the Broken Covenant Between Compilers and Deep Learning Accelerators., , , , , , , , и . CoRR, (2023)Planaria: Dynamic Architecture Fission for Spatial Multi-Tenant Acceleration of Deep Neural Networks., , , , , , , , , и 2 other автор(ы). MICRO, стр. 681-697. IEEE, (2020)Glimpse: mathematical embedding of hardware specification for neural compilation., , и . DAC, стр. 1165-1170. ACM, (2022)AI for Optimized Execution of AI. University of California, San Diego, USA, (2022)Chameleon: Adaptive Code Optimization for Expedited Deep Neural Network Compilation., , , и . ICLR, OpenReview.net, (2020)Ordering Chaos: Memory-Aware Scheduling of Irregularly Wired Neural Networks for Edge Devices., , , , , и . MLSys, mlsys.org, (2020)Data Motion Acceleration: Chaining Cross-Domain Multi Accelerators., , , , , , , , и . HPCA, стр. 1043-1062. IEEE, (2024)Reinforcement Learning and Adaptive Sampling for Optimized DNN Compilation., , и . CoRR, (2019)Tandem Processor: Grappling with Emerging Operators in Neural Networks., , , , , , , , , и 2 other автор(ы). ASPLOS (2), стр. 1165-1182. ACM, (2024)In-Storage Domain-Specific Acceleration for Serverless Computing., , , , , , , , , и 1 other автор(ы). ASPLOS (2), стр. 530-548. ACM, (2024)