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GPU-Based Ising Model Simulation by RENZO KENYI TAKAGUI PÉREZ is a document available to read on EtoBox.

This document details the implementation of a cellular automaton to simulate an Ising model on a GPU using CUDA, comparing various parallelization strategies. It outlines the algorithmic details, implementation variations, and performance benchmarks across different versions, highlighting the efficiency of GPU parallelization. The results indicate that while certain methods optimize execution time, the overhead of data transfer and synchronization remains critical factors influencing performance.

Author
RENZO KENYI TAKAGUI PÉREZ
Language
EN