FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model

F Ortega Zamorano; Marcelo Montemurro; SA Cannas; J Jerez; L Franco

doi:10.1109/TPDS.2015.2505725

FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model

F Ortega Zamorano, Marcelo Montemurro, SA Cannas, J Jerez, L Franco

Division of Neuroscience

Research output: Contribution to journal › Article › peer-review

Abstract

A two-dimensional Ising model with nearest-neighbors ferromagnetic interactions is implemented in a Field Programmable Gate Array (FPGA) board. Extensive Monte Carlo simulations were carried out using an efficient hardware representation of individual spins and a combined global-local LFSR random number generator. Consistent results regarding the descriptive properties of magnetic systems, like energy, magnetization and susceptibility are obtained while a speed-up factor of approximately six times is achieved in comparison to previous FPGA-based published works and almost 10^4 times in comparison to a standard CPU simulation. A detailed description of the logic design used is given together with a careful analysis of the quality of the random number generator used. The obtained results confirm the potential of FPGAs for analyzing the statistical

Original language	English
Pages (from-to)	2618-2627
Journal	I E E E Transactions on Parallel and Distributed Systems
Volume	27
Issue number	9
DOIs	https://doi.org/10.1109/TPDS.2015.2505725
Publication status	Published - 4 Dec 2015

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AU - Montemurro, Marcelo

AU - Cannas, SA

AU - Jerez, J

AU - Franco, L

PY - 2015/12/4

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JO - I E E E Transactions on Parallel and Distributed Systems

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FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model

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