Abstract
This contribution is concerned with an efficient implementation of the Monte- Carlo simulations of the φ 4 model[1]. The problem is defined as follows: having a vector field φ defined on a regular rectangular two or three dimensional grid we want to generate the field configurations with probability proportional to exp(–H(φ)) where H(φ) is some function of all the fields φ i .
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Bialas, P., Kowal, J., Strzelecki, A. (2013). GPU-Accelerated and CPU SIMD Optimized Monte Carlo Simulation of φ 4 Model. In: Keller, R., Kramer, D., Weiss, JP. (eds) Facing the Multicore-Challenge III. Lecture Notes in Computer Science, vol 7686. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-35893-7_16
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DOI: https://doi.org/10.1007/978-3-642-35893-7_16
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-35892-0
Online ISBN: 978-3-642-35893-7
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