ParallelReductionsBenchmark VS eaminer

Compare ParallelReductionsBenchmark vs eaminer 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)

eaminer

Heterogeneous Ethereum Miner with support for AMD, Intel and Nvidia GPUs using SYCL, OpenCL and CUDA backends (by Ethereum-Anywhere)
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ParallelReductionsBenchmark eaminer
2 1
59 4
- -
4.6 1.8
5 months ago over 2 years ago
C++ C++
- GNU General Public License v3.0 only
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.

eaminer

Posts with mentions or reviews of eaminer. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-14.

What are some alternatives?

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

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

mixbench - A GPU benchmark tool for evaluating GPUs and CPUs on mixed operational intensity kernels (CUDA, OpenCL, HIP, SYCL, OpenMP)

ispc - IntelĀ® Implicit SPMD Program Compiler

ethminer - Maetti's Fork (Ethereum) + Altera/Intel OpenCL(FPGA)

gpuowl - GPU Mersenne primality test.

dpnp - Data Parallel Extension for NumPy

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

ea - Ethereum (ethash) miner with SYCL (HIP, CUDA, Intel GPUs, OpenMP,...), OpenCL, CUDA and stratum support

cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:

AdaptiveCpp - Implementation of SYCL and C++ standard parallelism for CPUs and GPUs from all vendors: The independent, community-driven compiler for C++-based heterogeneous programming models. Lets applications adapt themselves to all the hardware in the system - even at runtime!

relion - Image-processing software for cryo-electron microscopy

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces