cuda_memtest VS gpu-burn

Compare cuda_memtest vs gpu-burn and see what are their differences.

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cuda_memtest gpu-burn
2 3
107 1,167
0.0% -
3.4 5.5
13 days ago about 1 month ago
C++ 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.

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.

gpu-burn

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

What are some alternatives?

When comparing cuda_memtest and gpu-burn 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!

nekRS - our next generation fast and scalable CFD code

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

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

ParallelReductionsBenchmark - Thrust, CUB, TBB, AVX2, CUDA, OpenCL, OpenMP, SyCL - all it takes to sum a lot of numbers fast!

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

AutoDock-GPU - AutoDock for GPUs and other accelerators

ArrayFire - ArrayFire: a general purpose GPU library.