Showing cs.ARShow all
2 papers · 1 filter
cs.AR2026
Closing the Gap Between Float and Posit Hardware Efficiency
Aditya Anirudh Jonnalagadda, Rishi Thotli, John L. Gustafson
The b-posit, or bounded posit, is a variation of the posit format designed for high performance computing (HPC) and AI applications. Unlike traditional floating-point formats (floa…
cs.AR2024
Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference
Akshat Ramachandran, Zishen Wan, Geonhwa Jeong +2
Traditional Deep Neural Network (DNN) quantization methods using integer, fixed-point, or floating-point data types struggle to capture diverse DNN parameter distributions at low p…