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Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency.

, , , , , , , and . FPGA, page 311. ACM, (2020)

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AutoAccel: Automated Accelerator Generation and Optimization with Composable, Parallel and Pipeline Architecture, , , and . arXiv preprint arXiv:1809.07683, (2018)From JVM to FPGA: Bridging Abstraction Hierarchy via Optimized Deep Pipelining., , and . HotCloud, USENIX Association, (2018)MOCHA: Multinode Cost Optimization in Heterogeneous Clouds with Accelerators., , , , , , and . FPGA, page 273-279. ACM, (2021)TensorIR: An Abstraction for Automatic Tensorized Program Optimization., , , , , , , , , and 1 other author(s). ASPLOS (2), page 804-817. ACM, (2023)Decoupled Model Schedule for Deep Learning Training., , , , , and . CoRR, (2023)TensorIR: An Abstraction for Automatic Tensorized Program Optimization., , , , , , , , , and 1 other author(s). CoRR, (2022)DietCode: Automatic Optimization for Dynamic Tensor Programs., , , , , , , , , and . MLSys, mlsys.org, (2022)Lorien: Efficient Deep Learning Workloads Delivery., , , , , and . SoCC, page 18-32. ACM, (2021)Bandwidth Optimization Through On-Chip Memory Restructuring for HLS., , , and . DAC, page 43:1-43:6. ACM, (2017)Bring Your Own Codegen to Deep Learning Compiler., , , , , , , , and . CoRR, (2021)