Abstract: This paper presents a lookup-table sharing scheme for implementing Boolean functions on Xilinx FPGAs. The scheme aims to exploit each LUT6 primitive on FPGAs as two Boolean functions sharing ...

Abstract: Neural network quantization aims at reducing bit-widths of weights and activations for memory and computational efficiency. Since a linear quantizer (i.e., round(·) function) cannot well fit ...

Neetcode 150 is a curated list of 150 LeetCode problems designed to cover all possible patterns & topics in data structures. Mainly practicing in C, C++, Rust, Python ...

TL;DR NILUT uses neural representations for controllable photorealistic image enhancement. 🚀 Demo Tutorial and pretrained models available. Try it on colab! 3D lookup tables (3D LUTs) are a key ...

As large language model (LLM) inference demands ever-greater resources, there is a rapid growing trend of using low-bit weights to shrink memory usage and boost inference efficiency. However, these ...