FPGA Hardware Acceleration of Monte Carlo Simulations for the Ising Model

Research output: Contribution to journalArticlepeer-review

  • Authors:
  • F Ortega Zamorano
  • Marcelo Montemurro
  • SA Cannas
  • J Jerez
  • L Franco

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

Bibliographical metadata

Original languageEnglish
Pages (from-to)2618-2627
JournalI E E E Transactions on Parallel and Distributed Systems
Volume27
Issue number9
DOIs
Publication statusPublished - 4 Dec 2015