MPM-Julia VS CUDA.jl

Compare MPM-Julia vs CUDA.jl and see what are their differences.

MPM-Julia

Julia implementation of the material point method (MPM) (by vinhphunguyen)
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MPM-Julia CUDA.jl
1 15
32 1,245
- 1.8%
0.0 9.4
almost 5 years ago 3 days ago
Julia Julia
- GNU General Public License v3.0 or later
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

MPM-Julia

Posts with mentions or reviews of MPM-Julia. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-18.

CUDA.jl

Posts with mentions or reviews of CUDA.jl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-01.

What are some alternatives?

When comparing MPM-Julia and CUDA.jl you can also consider the following projects:

DifferentialEquations.jl - Multi-language suite for high-performance solvers of differential equations and scientific machine learning (SciML) components. Ordinary differential equations (ODEs), stochastic differential equations (SDEs), delay differential equations (DDEs), differential-algebraic equations (DAEs), and more in Julia.

cupynumeric - An Aspiring Drop-In Replacement for NumPy at Scale

GPUCompiler.jl - Reusable compiler infrastructure for Julia GPU backends.

CudaPy - CudaPy is a runtime library that lets Python programmers access NVIDIA's CUDA parallel computation API.

awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

Tullio.jl - ⅀

cudf - cuDF - GPU DataFrame Library

LoopVectorization.jl - Macro(s) for vectorizing loops.

Rust-CUDA - Ecosystem of libraries and tools for writing and executing fast GPU code fully in Rust.

numba - NumPy aware dynamic Python compiler using LLVM

FiniteDiff.jl - Fast non-allocating calculations of gradients, Jacobians, and Hessians with sparsity support

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Bad PDFs = bad UX. Slow load times, broken annotations, clunky UX frustrates users. Nutrient’s PDF SDKs gives seamless document experiences, fast rendering, annotations, real-time collaboration, 100+ features. Used by 10K+ devs, serving ~half a billion users worldwide. Explore the SDK for free.
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