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...

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Veröffentlicht in:	2025 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW) S. 91 - 98
Hauptverfasser:	Bouaziz, Mohamed, Fahmy, Suhaib A.
Format:	Tagungsbericht
Sprache:	Englisch
Veröffentlicht:	IEEE 03.06.2025
Schlagworte:	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-Zugang:	Volltext
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