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jasonlin316/README.md

I am a Ph.D. Candidate in FPGA/Parallel Computing Lab at University of Southern California, advised by Prof. Prasanna. I'm interested in Graph Neural Networks, Hardware Accelerators/HPC, and Heterogeneous Computing. I have published several papers in HPC-, ASIC-, and FPGA-related conferences in the past three years. Please refer to my personal website for more details.

In addition to research interests, I'm also interested in video editing and photography. Check out my vlogs and photos.

I completed my undergraduate study in National Taiwan University (NTU), majored in Electrical Engineering. I was also an Electrical Engineering Intern at Hewlett-Packard (HP), Taipei.

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  1. RISC-V-CPU RISC-V-CPU Public

    A RISC-V 5-stage pipelined CPU that supports vector instructions. Tape-out with U18 technology.

    Verilog 121 27

  2. A-Single-Path-Delay-32-Point-FFT-Processor A-Single-Path-Delay-32-Point-FFT-Processor Public

    A 32-point pipelined Fast Fourier transform processor, using single path delay architecture, and based on radix2-DIF(decimation-in-frequency) algorithm. The average SNR = 58.76.

    Verilog 43 13

  3. Systolic-Array-for-Smith-Waterman Systolic-Array-for-Smith-Waterman Public

    This work implements a dynamic programming algorithm for performing local sequence alignment. Through parallelism, it can run 136X times faster than a software running the same algorithm.

    Verilog 22 8

  4. GCN-Inference-Acceleration-HLS GCN-Inference-Acceleration-HLS Public

    An end-to-end GCN inference accelerator written in HLS

    C 19 3