HIP-CPU VS libcudacxx

Compare HIP-CPU vs libcudacxx and see what are their differences.

libcudacxx

[ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl (by NVIDIA)
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HIP-CPU libcudacxx
5 4
104 2,292
2.9% -
7.2 7.9
about 1 month ago 3 months ago
C++ C++
MIT License GNU General Public License v3.0 or later
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.

HIP-CPU

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

libcudacxx

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

What are some alternatives?

When comparing HIP-CPU and libcudacxx 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!

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

rocFFT - Next generation FFT implementation for ROCm

stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU

HIP - HIP: C++ Heterogeneous-Compute Interface for Portability

modern-cpp-tutorial - 📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/

gtl - A collection of useful well-commented, self-contained, simple, and/or interesting C++ classes

XNNPACK - High-efficiency floating-point neural network inference operators for mobile, server, and Web

vim-cpp-modern - Extended Vim syntax highlighting for C and C++ (C++11/14/17/20/23)

AITemplate - AITemplate is a Python framework which renders neural network into high performance CUDA/HIP C++ code. Specialized for FP16 TensorCore (NVIDIA GPU) and MatrixCore (AMD GPU) inference.

wif500 - Try to find the WIF key and get a donation 200 btc