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Bring Your Own Codegen to Deep Learning Compiler., , , , , , , , и . CoRR, (2021)AutoDSE: Enabling Software Programmers Design Efficient FPGA Accelerators., , , и . FPGA, стр. 147. ACM, (2021)Efficient Memory Management for Large Language Model Serving with PagedAttention., , , , , , , , и . SOSP, стр. 611-626. ACM, (2023)Lorien: Efficient Deep Learning Workloads Delivery., , , , , и . SoCC, стр. 18-32. ACM, (2021)Bandwidth Optimization Through On-Chip Memory Restructuring for HLS., , , и . DAC, стр. 43:1-43:6. ACM, (2017)HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Reconfigurable Computing., , , , , , , и . FPGA, стр. 242-251. ACM, (2019)RAF: Holistic Compilation for Deep Learning Model Training., , , , , , , , , и 2 other автор(ы). CoRR, (2023)TensorIR: An Abstraction for Automatic Tensorized Program Optimization., , , , , , , , , и 1 other автор(ы). CoRR, (2022)Decoupled Model Schedule for Deep Learning Training., , , , , и . CoRR, (2023)MOCHA: Multinode Cost Optimization in Heterogeneous Clouds with Accelerators., , , , , , и . FPGA, стр. 273-279. ACM, (2021)