libcudacxx VS heyoka

Compare libcudacxx vs heyoka and see what are their differences.

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libcudacxx heyoka
4 4
2,292 190
- -
7.9 7.7
3 months ago 6 days ago
C++ C++
GNU General Public License v3.0 or later Mozilla Public License 2.0
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.

libcudacxx

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

heyoka

Posts with mentions or reviews of heyoka. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-18.
  • heyoka 0.15 [LLVM-based ODE integrator]
    2 projects | /r/cpp | 18 Oct 2021
  • heyoka: C++ library for ODE integration via Taylor's method and LLVM
    1 project | /r/coolgithubprojects | 18 Feb 2021
  • Solving Differential Equations with LLVM
    2 projects | news.ycombinator.com | 15 Feb 2021
    Hello,

    I have recently released version 0.3.0 of heyoka, a C++17 library for the numerical integration of ordinary differential equations (ODEs) using Taylor's method. The library uses automatic differentiation techniques and just-in-time compilation via LLVM to synthesize at runtime highly efficient and accurate numerical integrators.

    Additional features include batch mode support to take full advantage of SIMD instructions in modern processors, and support for extended-precision computations using 80-bit and 128-bit floating-point types (if supported by the hardware/software platform).

    The github page is here:

    https://github.com/bluescarni/heyoka

    The (WIP) documentation is available here:

    https://bluescarni.github.io/heyoka/

    Python bindings (via pybind11) are also available:

    https://github.com/bluescarni/heyoka.py

What are some alternatives?

When comparing libcudacxx and heyoka you can also consider the following projects:

Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

cnl - A Compositional Numeric Library for C++

stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU

heyoka.py - Python library for ODE integration via Taylor's method and LLVM

modern-cpp-tutorial - 📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

SwiftAA - The most comprehensive collection of accurate astronomical algorithms in (C++, Objective-C and) Swift.

HIP-CPU - An implementation of HIP that works on CPUs, across OSes.

fccf - fccf: A command-line tool that quickly searches through C/C++ source code in a directory based on a search string and prints relevant code snippets that match the query.

gtl - A collection of useful well-commented, self-contained, simple, and/or interesting C++ classes

GLM - OpenGL Mathematics (GLM)

vim-cpp-modern - Extended Vim syntax highlighting for C and C++ (C++11/14/17/20/23)

ode - Blogpost and web demos about numerical solutions to ODEs