Download
We provide an open-source library of approximate recursive multipliers described using Verilog HDL.
In case of usage please refer to:
H. Waris, C. Wang, C. Xu and W. Liu, "AxRMs: Approximate Recursive Multipliers using High-Performance Building Blocks," in IEEE Transactions on Emerging Topics in Computing, doi: 10.1109/TETC.2021.3096515.
Features
- Double-sided Error Distribution
- Error compensation/cancellation
- High-Performance
- Uniform Input Distributions
- Convolutional Neural Networks
Project Samples
Follow Approximate Recursive Multipliers
nel_h2
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas provides built-in vector search and a flexible document model so developers can build, scale, and run gen AI apps without stitching together multiple databases. From LLM integration to semantic search, Atlas simplifies your AI architecture—and it’s free to get started.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Approximate Recursive Multipliers!