PRNGine: Massively Parallel Pseudo-Random Number Generation and Probability Distribution Approximations on AMD AI Engines

Generating large volumes of random numbers is essential for high-performance computing applications such as Monte Carlo simulations, machine learning, and dynamic game-play. Many of these applications require random number generation within a processing pipeline. Coarse-Grained Reconfigurable Archit...

Full description

Bibliographic Details

Published in:	2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) pp. 91 - 98
Main Authors:	Bouaziz, Mohamed, Fahmy, Suhaib A.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 03.06.2025
Subjects:	AI Engine CGRA Dataflow Engines Generators High performance computing Machine learning Monte Carlo methods Performance evaluation Pipelines PRNG Probability distribution Random number generation Reconfigurable architectures
ISSN:	2995-066X
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!