CUDA-Guide VS LSQR-CUDA

Compare CUDA-Guide vs LSQR-CUDA and see what are their differences.

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. (by law-dwg)
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CUDA-Guide LSQR-CUDA
2 1
47 12
- -
4.0 1.3
5 months ago about 1 year ago
Cuda Cuda
- MIT License
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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.

LSQR-CUDA

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

What are some alternatives?

When comparing CUDA-Guide and LSQR-CUDA you can also consider the following projects:

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

pyopencl - OpenCL integration for Python, plus shiny features

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

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces

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

DOKSparse - sparse DOK tensors on GPU, pytorch

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.