GPU-computing in econophysics and statistical physics

T. Preis
Center of Polymer Studies, Department of Physics, 590 Commonwealth Avenue, Boston, MA 02215, USA
The European Physical Journal – Special Topics, Vol. 194, No. 1. (1 March 2011), pp. 87-119.


   title={GPU-computing in econophysics and statistical physics},

   author={Preis, T.},

   journal={The European Physical Journal-Special Topics},








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A recent trend in computer science and related fields is general purpose computing on graphics processing units (GPUs), which can yield impressive performance. With multiple cores connected by high memory bandwidth, today’s GPUs offer resources for non-graphics parallel processing. This article provides a brief introduction into the field of GPU computing and includes examples. In particular computationally expensive analyses employed in financial market context are coded on a graphics card architecture which leads to a significant reduction of computing time. In order to demonstrate the wide range of possible applications, a standard model in statistical physics – the Ising model – is ported to a graphics card architecture as well, resulting in large speedup values.
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