cuda_memtest VS ParallelReductionsBenchmark

Compare cuda_memtest vs ParallelReductionsBenchmark and see what are their differences.

InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
cuda_memtest ParallelReductionsBenchmark
2 2
107 60
0.0% -
3.4 4.7
13 days ago 6 days ago
C++ C++
- -
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.

cuda_memtest

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

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 cuda_memtest and ParallelReductionsBenchmark you can also consider the following projects:

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!

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

nekRS - our next generation fast and scalable CFD code

ispc - IntelĀ® Implicit SPMD Program Compiler

gpuowl - GPU Mersenne primality test.

Boost.Compute - A C++ GPU Computing Library for OpenCL

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

gpu-burn - Multi-GPU CUDA stress test

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

WarpX - WarpX is an advanced, time-based electromagnetic & electrostatic Particle-In-Cell code.

relion - Image-processing software for cryo-electron microscopy