dlprimitives VS OpenCL-Guide

Compare dlprimitives vs OpenCL-Guide and see what are their differences.

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dlprimitives OpenCL-Guide
7 1
156 11
- -
3.8 0.0
5 months ago over 2 years ago
C++ C++
MIT 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.

dlprimitives

Posts with mentions or reviews of dlprimitives. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-10-31.

OpenCL-Guide

Posts with mentions or reviews of OpenCL-Guide. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-28.

What are some alternatives?

When comparing dlprimitives and OpenCL-Guide you can also consider the following projects:

tensorflow-opencl - OpenCL support for TensorFlow

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!

plaidml - PlaidML is a framework for making deep learning work everywhere.

opencl-intercept-layer - Intercept Layer for Debugging and Analyzing OpenCL Applications

ArrayFire - ArrayFire: a general purpose GPU library.

pytorch-coriander - OpenCL build of pytorch - (in-progress, not useable)

compute-runtime - Intel® Graphics Compute Runtime for oneAPI Level Zero and OpenCL™ Driver

oneDNN - oneAPI Deep Neural Network Library (oneDNN)

pytorch_dlprim - DLPrimitives/OpenCL out of tree backend for pytorch

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