monolish VS ParallelReductionsBenchmark

Compare monolish vs ParallelReductionsBenchmark and see what are their differences.

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monolish ParallelReductionsBenchmark
1 2
189 59
0.0% -
7.8 4.6
6 months ago 5 months ago
C++ C++
Apache 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.

monolish

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

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 monolish and ParallelReductionsBenchmark you can also consider the following projects:

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces

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

fms_blas - Lightweight BLAS (and some LAPACK) wrapper.

ispc - IntelĀ® Implicit SPMD Program Compiler

BitLib - Provides a bit-vector, an optimized replacement of the infamous std::vector<:b:ool>. In addition to the bit-vector, the library also provides implementations of STL algorithms tailored for bit-vectors.

gpuowl - GPU Mersenne primality test.

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

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:

Scalix - Scalix is a data parallel compute library that automatically scales to the available compute resources.

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