A 3D radiative transfer framework-VIII. OpenCL implementation
PH Hauschildt, E Baron - Astronomy & Astrophysics, 2011 - aanda.org
Astronomy & Astrophysics, 2011•aanda.org
Aims. We discuss an implementation of our 3D radiative transfer (3DRT) framework with the
OpenCL paradigm for general GPU computing. Methods. We implemented the kernel for
solving the 3DRT problem in Cartesian coordinates with periodic boundary conditions in the
horizontal (x, y) plane, including the construction of the nearest neighbor Λ∗ and the
operator splitting step. Results. We present the results of both a small and a large test case
and compare the timing of the 3DRT calculations for serial CPUs and various GPUs …
OpenCL paradigm for general GPU computing. Methods. We implemented the kernel for
solving the 3DRT problem in Cartesian coordinates with periodic boundary conditions in the
horizontal (x, y) plane, including the construction of the nearest neighbor Λ∗ and the
operator splitting step. Results. We present the results of both a small and a large test case
and compare the timing of the 3DRT calculations for serial CPUs and various GPUs …
Aims
We discuss an implementation of our 3D radiative transfer (3DRT) framework with the OpenCL paradigm for general GPU computing.
Methods
We implemented the kernel for solving the 3DRT problem in Cartesian coordinates with periodic boundary conditions in the horizontal (x,y) plane, including the construction of the nearest neighbor Λ∗ and the operator splitting step.
Results
We present the results of both a small and a large test case and compare the timing of the 3DRT calculations for serial CPUs and various GPUs.
Conclusions
The latest available GPUs can lead to significant speedups for both small and large grids compared to serial (single core) computations.
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