mixbench VS gtensor

Compare mixbench vs gtensor and see what are their differences.

mixbench

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

gtensor

GTensor is a multi-dimensional array C++14 header-only library for hybrid GPU development. (by wdmapp)
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mixbench gtensor
1 1
340 33
- -
5.2 8.9
2 months ago 4 months ago
C++ C++
GNU General Public License v3.0 only BSD 3-clause "New" or "Revised" 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.

mixbench

Posts with mentions or reviews of mixbench. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-02.

gtensor

Posts with mentions or reviews of gtensor. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-19.
  • Guidelines for using raw pointers in modern C++ and GPUs
    5 projects | /r/cpp | 19 Mar 2021
    If you want something like thrust:: device_vector, that also supports intel GPUs via SYCL (AMD has rocThrust but no intel equivalent AFAIK), checkout our project https://github.com/wdmapp/gtensor/. It also has multi-d arrays and lazy evaluation of complex array expressions. and experimental cross vendor gpu BLAS and FFT with a nicer interface.

What are some alternatives?

When comparing mixbench and gtensor you can also consider the following projects:

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

stlbm

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!

CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects

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

occa - Portable and vendor neutral framework for parallel programming on heterogeneous platforms.

despacer - C library to remove white space from strings as fast as possible

BabelStream - STREAM, for lots of devices written in many programming models