anuga_core VS PSyclone

Compare anuga_core vs PSyclone and see what are their differences.

anuga_core

AnuGA for the simulation of the shallow water equation (by GeoscienceAustralia)
shallow-water-equations tsunami finite-volume Flooding
Source Code
anuga.anu.edu.au
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PSyclone

Domain-specific compiler and code transformation system for Finite Difference/Volume/Element Earth-system models in Fortran (by stfc)
Python Fortran Compiler finite-elements finite-difference finite-volume Optimization high-performance-computing parallel-computing HacktoberFest
Source Code
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anuga_core PSyclone
3 1
178 97
0.6% -
4.3 9.9
about 1 year ago 8 days ago
Python Python
GNU General Public License v3.0 or later BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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anuga_core

Posts with mentions or reviews of anuga_core. We have used some of these posts to build our list of alternatives and similar projects.

PSyclone

Posts with mentions or reviews of PSyclone. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-21.
  • OCaml vs Haskell for finance
    3 projects | /r/functionalprogramming | 21 May 2022
    I remember they had projects like LFRic, GungHo, and PSyclone (https://github.com/stfc/PSyclone). This last one, I think was intended to allow its users to write code in Python, in a notebook, and then translate it into Fortran. I don't know if this is something that could be used for trying to combine Python with some FP library and then compile to Fortran, or maybe use a similar approach and transpile parts of Ocaml/Haskell/lisp/etc into Fortran...

What are some alternatives?

When comparing anuga_core and PSyclone you can also consider the following projects:

polygon - Python module to calculate geometrical properties of arbitrary 2D polygons such as area, center of mass (centroid), solid of revolution and more!

pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:

Hyperactive - An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.

prometeo - An experimental Python-to-C transpiler and domain specific language for embedded high-performance computing

Fast-Poisson-Image-Editing - A fast poisson image editing implementation that can utilize multi-core CPU or GPU to handle a high-resolution image input.

Cython - The most widely used Python to C compiler

NumPy - The fundamental package for scientific computing with Python.

anuga_core vs polygon PSyclone vs pyhpc-benchmarks PSyclone vs polygon PSyclone vs Hyperactive PSyclone vs prometeo PSyclone vs Fast-Poisson-Image-Editing PSyclone vs Cython PSyclone vs NumPy