Design and Generation of Efficient Hardware Accelerators for Sparse and Dense Tensor Computations
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MatRaptor: A Sparse-Sparse Matrix Multiplication Accelerator Based on Row-Wise Product
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T2S-Tensor: Productively Generating High-Performance Spatial Hardware for Dense Tensor Computations
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Operation Dependent Frequency Scaling Using Desynchronization
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Rosetta: A Realistic High-Level Synthesis Benchmark Suite for Software Programmable FPGAs
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Flexible and Dynamic Power Allocation in Broadband Multi-Beam Satellites
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Accelerating Face Detection on Programmable SoC Using C-Based Synthesis
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