PySPH: A Python-based Framework for Smoothed Particle Hydrodynamics

DOI10.1145/3460773zbMath1486.65215arXiv1909.04504OpenAlexW2972558277WikidataQ113268491 ScholiaQ113268491MaRDI QIDQ5025192

Anshuman Kumar, Amal S. Sebastian, Aditya Bhosale, Deep Tavker, Rohan Kaushik, Kunal Puri, Rahul Govind, P. Negi, Dileep Menon, Chandrashekhar Kaushik, Suraj Sanka, Mrinalgouda Patil, Abhinav Muta, Arkopal Dutt, A. Dinesh, Pankaj Pandey, Vikas Kurapati, Prabhu Ramachandran, Ananyo Sen, Arpit Agarwal

Publication date: 1 February 2022

Published in: ACM Transactions on Mathematical Software (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1909.04504

zbMATH Keywords

smoothed particle hydrodynamicsGPUopen sourceCPU

Mathematics Subject Classification ID

Software, source code, etc. for problems pertaining to fluid mechanics (76-04) Packaged methods for numerical algorithms (65Y15) Probabilistic methods, particle methods, etc. for initial value and initial-boundary value problems involving PDEs (65M75)

Related Items (6)

An extended Boussinesq theory for interfacial fluid mechanics ⋮ SPINN: sparse, physics-based, and partially interpretable neural networks for PDEs ⋮ Efficient and accurate adaptive resolution for weakly-compressible SPH ⋮ A hybrid finite volume-smoothed particle hydrodynamics approach for shock capturing applications ⋮ Parallel adaptive weakly-compressible SPH for complex moving geometries ⋮ Computing interfacial flows of viscous fluids

Uses Software

• PAPI
• NumPy
• Mayavi
• MKL
• Zoltan
• PyCUDA
• GADGET
• Mako
• Cython
• PyOpenCL
• TREESPH
• Python
• DualSPHysics
• Jupyter
• AQUAgpusph
• PySPH
• SPHinXsys
• automan
• Binder 2.0
• PyZoltan
• Compyle
• SPHERAL
• SPHERA
• PHANTOM
• GPUSPH
• CRKSPH

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