triSYCL VS featuresupport

Compare triSYCL vs featuresupport and see what are their differences.

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triSYCL featuresupport
1 1
435 5
0.2% -
7.8 2.4
about 2 months ago 8 months ago
C++
GNU General Public License v3.0 or later 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.

triSYCL

Posts with mentions or reviews of triSYCL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-12.

featuresupport

Posts with mentions or reviews of featuresupport. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-08-12.

What are some alternatives?

When comparing triSYCL and featuresupport 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!

llvm - Intel staging area for llvm.org contribution. Home for Intel LLVM-based projects.

kompute - General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm, NVIDIA & friends). Blazing fast, mobile-enabled, asynchronous and optimized for advanced GPU data processing usecases. Backed by the Linux Foundation.

ethminer_fpga - A fork of Ethereum miner with OpenCL-based FPGA mining support (currently Intel FPGAs).

OpenCL_Wrapper_By_PunalManalan - Lightweight, Easy to use OpenCL Wrapper By Punal Manalan. 'OCLW_P::OpenCLWrapper' This Single line of code does Everything In a Compact And Easy to Manage Manner!. Use this code wherever and whenever you want to!