dpnp VS ParallelReductionsBenchmark

Compare dpnp vs ParallelReductionsBenchmark 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)
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dpnp ParallelReductionsBenchmark
1 2
91 59
- -
9.5 4.6
5 days ago 5 months ago
Python C++
BSD 2-clause "Simplified" 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.

dpnp

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

We haven't tracked posts mentioning dpnp yet.
Tracking mentions began in Dec 2020.

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.

What are some alternatives?

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

numpy-stl - Simple library to make working with STL files (and 3D objects in general) fast and easy.

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

cupy - NumPy & SciPy for GPU

ispc - Intel® Implicit SPMD Program Compiler

sparse_dot - Python wrapper for Intel Math Kernel Library (MKL) matrix multiplication

gpuowl - GPU Mersenne primality test.

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

matchering - 🎚️ Open Source Audio Matching and Mastering

cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:

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