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Package for writing high-level code for parallel stencil computations
ParallelStencil empowers domain scientists to write architecture-agnostic high-level code for parallel high-performance stencil computations on GPUs and CPUs. Performance similar to CUDA C / HIP can be achieved, which is typically a large improvement over the performance reached when using only CUDA.jl or AMDGPU.jl GPU Array programming. For example, a 2-D shallow ice solver presented at JuliaCon 2020 [1] achieved a nearly 20 times better performance than a corresponding GPU Array...
Seems to be closely related to Cellular automaton, except this creates a complex pattern from a mathematical function you input. See website for examples/live applets. This program makes use of an old GPL version of the JEP equation parser.
An object-oriented partial differential equation (PDE) solver, written in Python, based on a standard finite volume approach and includes interface tracking algorithms. *WARNING* The project is no longer using Sourceforge to maintain its repository.
Deploy in 115+ regions with the modern database for every enterprise.
MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
A Fast MAC based 3D Free surface fuid solver. Capable also of simulating viscoelastic fluids.Includes also wave equationsolver for simulating shallow water phenomena.
MathGenius is a graphical tool intended to simplify your work in mathematics. By now it includes a graphical function plotter, a mechanism (still in development) to derive functions, and an equation solver. An extension mechanism will be developed.