fengbintu/Neural-Networks-on-Silicon resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

2118 stars · 393 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A curated collection of research papers on neural network accelerators and the intersection of deep learning and computer architecture. It organizes papers by year and venue (ISSCC, ISCA, MICRO, HPCA, ASPLOS, DAC, FPGA, HotChips, etc.) and includes the maintainer's own contributions.

Use cases

• find papers on neural network accelerator design
• survey AI chip research by year and conference
• keep up with deep learning hardware research
• prepare a literature review on DNN accelerators
• learn about efficient hardware for deep learning inference and training
• track ISSCC and HotChips AI chip presentations

When to choose

• you need a comprehensive, organized reading list of AI accelerator papers
• you are a researcher or student surveying deep learning hardware architecture
• you want to follow top-venue publications (ISCA, MICRO, ISSCC, HPCA) on AI chips

When to avoid

• you need runnable code or an implementation of an accelerator
• you want a tutorial or textbook-style introduction rather than paper links
• you need licensed, redistributable content (the repo has no license)

Facets

learning-resource · maturity active

documentation developer-tools deep-learning hardware awesome-lists tutorials cross-platform paper-collection ai-accelerators computer-architecture curated-list research-papers

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