fengbintu/Neural-Networks-on-Silicon
This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.
This is a curated collection of academic papers focused on hardware accelerators for neural networks, often called 'AI chips'. It takes research papers from leading conferences in computer architecture and integrated circuits and categorizes them by year and conference. The resource is ideal for researchers, Ph.D. students, and academics working in deep learning hardware, computer architecture, or AI chip design who need to stay current with the latest advancements.
2,068 stars.
Use this if you are an academic or researcher needing a comprehensive, organized list of influential papers on neural network hardware accelerators.
Not ideal if you are looking for introductory material, software implementations, or practical guides for deploying existing AI models.
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Nov 08, 2025
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