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TAPA: A Scalable Task-Parallel Dataflow Programming Framework for Modern FPGAs with Co-Optimization of HLS and Physical Design.

, , , , , , , , , , , and . CoRR, (2022)

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HeteroHalide: From Image Processing DSL to Efficient FPGA Acceleration., , and . FPGA, page 51-57. ACM, (2020)PASTA: Programming and Automation Support for Scalable Task-Parallel HLS Programs on Modern Multi-Die FPGAs., , , , , and . FCCM, page 12-22. IEEE, (2023)Design Automation and Optimization for Memory-Bound Application Accelerators.. University of California, Los Angeles, USA, (2021)Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver., , , , , and . CoRR, (2022)Analysis and Optimization of the Implicit Broadcasts in FPGA HLS to Improve Maximum Frequency., , , , , , , and . FPGA, page 311. ACM, (2020)TAPA-CS: Enabling Scalable Accelerator Design on Distributed HBM-FPGAs., , , , and . CoRR, (2023)TARO: Automatic Optimization for Free-Running Kernels in FPGA High-Level Synthesis., , , and . IEEE Trans. Comput. Aided Des. Integr. Circuits Syst., 42 (7): 2423-2427 (July 2023)SASA: A Scalable and Automatic Stencil Acceleration Framework for Optimized Hybrid Spatial and Temporal Parallelism on HBM-based FPGAs., , , , , and . CoRR, (2022)HBM Connect: High-Performance HLS Interconnect for FPGA HBM., , , , and . FPGA, page 116-126. ACM, (2021)Callipepla: Stream Centric Instruction Set and Mixed Precision for Accelerating Conjugate Gradient Solver., , , , , and . FPGA, page 247-258. ACM, (2023)