Mohammed, Ali and Cavelan, Aurélien and Ciorba, Florina M. and Cabezón, Rubén M. and Banicescu, Ioana. (2019) Identifying Performance Challenges in Smoothed Particle Hydrodynamics Simulations. Poster at the 16th ACM/CSCS Platform for Advanced Scientific Computing (PASC) Conference.
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Abstract
Smoothed particle hydrodynamics (SPH) is a commonly used technique for the numerical simulation of fluids in astrophysics and many computational science and engineering fields. SPH is a gridless, fully Lagrangian, particle method where the simulated system is discretized in a series of interpolation points (also called SPH particles). The physical properties of the simulated astrophysical system are evaluated as a weighted interpolation over close neighboring particles. SPH simulations are computationally-intensive and not trivial to parallelize. SPHYNX is a state-of-the-art astrophysics SPH code that includes many recent upgrades, such as adaptive interpolating sinc kernels, an integral approach to calculate derivatives, and generalized volume elements. The goal of this work is to study the performance of SPHYNX and identify its performance challenges on high performance computing (HPC) systems. To this end, certain performance issues are identified, such as load imbalance at process and thread levels and non-overlapping communication and computation phases, among others. A number of improvements are proposed to address the identified challenges, and experiments on two HPC systems are performed to evaluate their effectiveness. The performance results show improved application performance and better scaling profile. A number of improvements are proposed to address the identified challenges, and experiments on two HPC systems are performed to evaluate their effectiveness. The performance results show improved application performance and better scaling profile. A number of improvements are proposed to address the identified challenges, and experiments on two HPC systems are performed to evaluate their effectiveness. The performance results show improved application performance and better scaling profile.
Faculties and Departments: | 05 Faculty of Science > Departement Mathematik und Informatik > Informatik > High Performance Computing (Ciorba) |
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UniBasel Contributors: | Mohammed, Ali Omar Abdelazim and Cavelan, Aurélien and Ciorba, Florina M. and Cabezon, Ruben M. |
Item Type: | Other |
Note: | Publication type according to Uni Basel Research Database: Other publications |
Language: | English |
Related URLs: | |
edoc DOI: | |
Last Modified: | 02 Mar 2021 13:47 |
Deposited On: | 02 Mar 2021 13:47 |
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