A modified version of the Smoothed Particle Hydrodynamics (SPH) method is considered in order to overcome the loss of accuracy of the standard formulation. The summation of Gaussian kernel functions is employed, using the Improved Fast Gauss Transform (IFGT) to reduce the computational cost, while tuning the desired accuracy in the SPH method. This technique, coupled with an algorithmic design for exploiting the performance of Graphics Processing Units (GPUs), makes the method promising, as shown by numerical experiments.

Antonelli L., di Serafino D., Francomano E., Gregoretti F., & Paliaga M. (2020). Towards an Efficient Implementation of an Accurate SPH Method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 3-10). Springer [10.1007/978-3-030-39081-5_1].

Towards an Efficient Implementation of an Accurate SPH Method

Francomano E.
;
Paliaga M.
2020

Abstract

A modified version of the Smoothed Particle Hydrodynamics (SPH) method is considered in order to overcome the loss of accuracy of the standard formulation. The summation of Gaussian kernel functions is employed, using the Improved Fast Gauss Transform (IFGT) to reduce the computational cost, while tuning the desired accuracy in the SPH method. This technique, coupled with an algorithmic design for exploiting the performance of Graphics Processing Units (GPUs), makes the method promising, as shown by numerical experiments.
Antonelli L., di Serafino D., Francomano E., Gregoretti F., & Paliaga M. (2020). Towards an Efficient Implementation of an Accurate SPH Method. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (pp. 3-10). Springer [10.1007/978-3-030-39081-5_1].
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/10447/428991
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