amgcl VS parallel-kd-tree

Compare amgcl vs parallel-kd-tree and see what are their differences.

amgcl

C++ library for solving large sparse linear systems with algebraic multigrid method (by ddemidov)

parallel-kd-tree

Parallel k-d tree with C++17, MPI and OpenMP (by fandreuz)
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amgcl parallel-kd-tree
1 1
700 21
- -
3.9 0.0
6 months ago about 2 years ago
C++ C++
MIT License MIT 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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amgcl

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

parallel-kd-tree

Posts with mentions or reviews of parallel-kd-tree. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-06.

What are some alternatives?

When comparing amgcl and parallel-kd-tree you can also consider the following projects:

faasm - High-performance stateful serverless runtime based on WebAssembly

kokkos - Kokkos C++ Performance Portability Programming Ecosystem: The Programming Model - Parallel Execution and Memory Abstraction

primecount - 🚀 Fast prime counting function implementations

dmtcp - DMTCP: Distributed MultiThreaded CheckPointing

HPCInfo - Information about many aspects of high-performance computing. Wiki content moved to ~/docs.

LazyMath - Complex Conjugate Gradient linear solver and Levenberg-Marquardt minimizer with and without constraints in C++

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!

oneDNN - oneAPI Deep Neural Network Library (oneDNN)

Kratos - Kratos Multiphysics (A.K.A Kratos) is a framework for building parallel multi-disciplinary simulation software. Modularity, extensibility and HPC are the main objectives. Kratos has BSD license and is written in C++ with extensive Python interface.

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