ParallelReductionsBenchmark VS amgcl

Compare ParallelReductionsBenchmark vs amgcl and see what are their differences.

ParallelReductionsBenchmark

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

amgcl

C++ library for solving large sparse linear systems with algebraic multigrid method (by ddemidov)
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ParallelReductionsBenchmark amgcl
2 1
59 701
- -
4.6 3.9
5 months ago 6 months ago
C++ C++
- MIT License
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.

ParallelReductionsBenchmark

Posts with mentions or reviews of ParallelReductionsBenchmark. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-02.
  • Failing to Reach 204 GB/S DDR4 Bandwidth
    3 projects | news.ycombinator.com | 2 Feb 2022
    For the single threaded version, they have a data hazard on the sums that could be smoothed out with a little loop unrolling and separate variables.

    But in the [threaded version](https://github.com/unum-cloud/ParallelReductions/blob/fd16d9...) they have separate slots for an accumulator but it's still in a shared vector, which most likely has the issue I described.

amgcl

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

What are some alternatives?

When comparing ParallelReductionsBenchmark and amgcl you can also consider the following projects:

MatX - An efficient C++17 GPU numerical computing library with Python-like syntax

faasm - High-performance stateful serverless runtime based on WebAssembly

ispc - Intel® Implicit SPMD Program Compiler

primecount - 🚀 Fast prime counting function implementations

gpuowl - GPU Mersenne primality test.

dmtcp - DMTCP: Distributed MultiThreaded CheckPointing

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

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

cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:

parallel-kd-tree - Parallel k-d tree with C++17, MPI and OpenMP

eaminer - Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends

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.