HPCInfo VS ParallelReductionsBenchmark

Compare HPCInfo vs ParallelReductionsBenchmark and see what are their differences.

HPCInfo

Information about many aspects of high-performance computing. Wiki content moved to ~/docs. (by jeffhammond)
HPC Mpi Parallel supercomputing
Source Code
github.com
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ParallelReductionsBenchmark

Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast! (by ashvardanian)
gpu-computing halide Sycl Vulkan Glsl Opencl GPU Cuda thrust Stl Tbb Intel Simd Openmp Gpgpu gpu-acceleration HPC Nvidia Parallel
Source Code
unum.cloud
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HPCInfo ParallelReductionsBenchmark
1 2
260 59
- -
8.6 4.6
14 days ago 5 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.
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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.

HPCInfo

Posts with mentions or reviews of HPCInfo. We have used some of these posts to build our list of alternatives and similar projects.
  • Open source arm64 fortran?
    1 project | /r/fortran | 23 Mar 2022
    I wrote a script to make it easy for people to install and try new Flang: https://github.com/jeffhammond/HPCInfo/blob/master/buildscripts/llvm-git.sh

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 HPCInfo and ParallelReductionsBenchmark you can also consider the following projects:

h5cpp - C++17 templates between [stl::vector | armadillo | eigen3 | ublas | blitz++] and HDF5 datasets

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

libgrape-lite - 🍇 A C++ library for parallel graph processing (GRAPE) 🍇

ispc - Intel® Implicit SPMD Program Compiler

mpl - A C++17 message passing library based on MPI

gpuowl - GPU Mersenne primality test.

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

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

arbor - The Arbor multi-compartment neural network simulation library.

cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:

mpl - The MaPLe compiler for efficient and scalable parallel functional programming

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

HPCInfo vs h5cpp ParallelReductionsBenchmark vs MatX HPCInfo vs libgrape-lite ParallelReductionsBenchmark vs ispc HPCInfo vs mpl ParallelReductionsBenchmark vs gpuowl HPCInfo vs parallel-kd-tree ParallelReductionsBenchmark vs alpaka HPCInfo vs arbor ParallelReductionsBenchmark vs cuda_memtest HPCInfo vs mpl ParallelReductionsBenchmark vs eaminer