gtensor VS stdgpu

Compare gtensor vs stdgpu and see what are their differences.

gtensor

GTensor is a multi-dimensional array C++14 header-only library for hybrid GPU development. (by wdmapp)
GPU Cuda Rocm Sycl HacktoberFest CPP Cpp14
Source Code
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stdgpu

stdgpu: Efficient STL-like Data Structures on the GPU (by stotko)
Concurrency GPU gpu-computing gpu-acceleration Gpgpu Data structures Stl stl-like stl-containers CPP Cpp17 Cpp20 modern-cpp Cuda Openmp Rocm Hip
Source Code
stotko.github.io
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gtensor stdgpu
1 -
33 1,089
- -
8.9 7.1
4 months ago about 1 month ago
C++ C++
BSD 3-clause "New" or "Revised" License Apache License 2.0
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.

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.

stdgpu

Posts with mentions or reviews of stdgpu. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning stdgpu yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

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

ArrayFire - ArrayFire: a general purpose GPU library.

stlbm

libcudacxx - [ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl

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

alpaka - The project alpaka has moved to https://github.com/alpaka-group/alpaka

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

moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

Thrust - [ARCHIVED] The C++ parallel algorithms library. See https://github.com/NVIDIA/cccl

Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System

C++ Actor Framework - An Open Source Implementation of the Actor Model in C++

RaftLib - The RaftLib C++ library, streaming/dataflow concurrency via C++ iostream-like operators

gtensor vs mixbench stdgpu vs ArrayFire gtensor vs stlbm stdgpu vs libcudacxx gtensor vs CuTeLib stdgpu vs alpaka gtensor vs occa stdgpu vs moodycamel stdgpu vs Thrust stdgpu vs Taskflow stdgpu vs C++ Actor Framework stdgpu vs RaftLib