An OpenCL implementation for the solution of TDSE on GPU and CPU architectures
School of Physical Sciences, Dublin City University, Collins Ave and National Center for Plasma Science & Technology, Collins Ave, Dublin 9, Ireland
arXiv:1201.6062v1 [physics.comp-ph] (29 Jan 2012)
Open Computing Language (OpenCL) is a parallel processing language that is ideally suited for running parallel algorithms on Graphical Processing Units (GPUs). In the present work we report the development of a generic parallel single-GPU code for the numerical solution of a system of first-order ordinary differential equations (ODEs) based on the openCL model. We have applied the code in the case of the time-dependent Schr"{o}dinger equation of atomic hydrogen in a strong laser field and studied its performance to the two basic kinds of compute units (GPUs and CPUs) . We found an excellent scalability and a significant speed-up of the GPU over the CPU device tending to a value of about 40.
January 31, 2012 by hgpu
