gpu-desktop-calculator VS CUDA-Guide

Compare gpu-desktop-calculator vs CUDA-Guide and see what are their differences.

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gpu-desktop-calculator CUDA-Guide
1 2
7 47
- -
8.4 4.0
5 months ago 4 months ago
Cuda Cuda
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.
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gpu-desktop-calculator

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

CUDA-Guide

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

What are some alternatives?

When comparing gpu-desktop-calculator and CUDA-Guide 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!

instant-ngp - Instant neural graphics primitives: lightning fast NeRF and more

spikingjelly - SpikingJelly is an open-source deep learning framework for Spiking Neural Network (SNN) based on PyTorch.

cub - [ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl

DOKSparse - sparse DOK tensors on GPU, pytorch

LSQR-CUDA - This is a LSQR-CUDA implementation written by Lawrence Ayers under the supervision of Stefan Guthe of the GRIS institute at the Technische Universität Darmstadt. The LSQR library was authored Chris Paige and Michael Saunders.

cudnnxx - cuDNN C++ wrapper.

FirstCollisionTimestepRarefiedGasSimulator - This simulator computes all possible intersections for a very small timestep for a particle model

caer - High-performance Vision library in Python. Scale your research, not boilerplate.