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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)AutoAccel: Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture, , , и . arXiv preprint arXiv:1809.07683, (2018)From JVM to FPGA: Bridging Abstraction Hierarchy via Optimized Deep Pipelining., , и . HotCloud, USENIX Association, (2018)MOCHA: Multinode Cost Optimization in Heterogeneous Clouds with Accelerators., , , , , , и . FPGA, стр. 273-279. ACM, (2021)TensorIR: An Abstraction for Automatic Tensorized Program Optimization., , , , , , , , , и 1 other автор(ы). ASPLOS (2), стр. 804-817. ACM, (2023)DietCode: Automatic Optimization for Dynamic Tensor Programs., , , , , , , , , и . MLSys, mlsys.org, (2022)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)