AURIX_code_examples VS AutoDock-GPU

Compare AURIX_code_examples vs AutoDock-GPU and see what are their differences.

AURIX_code_examples

This repository contains code example projects for the AURIX™ Development Studio. (by Infineon)
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AURIX_code_examples AutoDock-GPU
1 2
448 358
1.1% 2.2%
4.8 6.1
about 2 months ago 20 days ago
C++
- GNU General Public License v3.0 only
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.

AURIX_code_examples

Posts with mentions or reviews of AURIX_code_examples. We have used some of these posts to build our list of alternatives and similar projects.
  • Running Code from Infenion github giving error
    1 project | /r/embedded | 23 Mar 2023
    I am running the PWM code to fade the led on port 0 pin 5, I am using the kit given by Infineon, the link to the project is https://github.com/Infineon/AURIX_code_examples/tree/master/code_examples/GTM_ATOM_PWM_1_KIT_TC375_LK

AutoDock-GPU

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

What are some alternatives?

When comparing AURIX_code_examples and AutoDock-GPU you can also consider the following projects:

ASM-Guard - Packer utility for compressing and complicating reversing compiled native code (native files), protecting resources, adding DRM, and packing into an optimized loader.

cuda_memtest - Fork of CUDA GPU memtest :eyeglasses:

FluidX3D - The fastest and most memory efficient lattice Boltzmann CFD software, running on all GPUs via OpenCL.

cuda-api-wrappers - Thin C++-flavored header-only wrappers for core CUDA APIs: Runtime, Driver, NVRTC, NVTX.

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!