LSQR-CUDA VS pyopencl

Compare LSQR-CUDA vs pyopencl 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)
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
LSQR-CUDA pyopencl
1 2
12 1,029
- -
1.3 7.3
12 months ago 7 days ago
Cuda Python
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.

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.

pyopencl

Posts with mentions or reviews of pyopencl. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-11.
  • An example for OpenCL 3.0?
    4 projects | /r/OpenCL | 11 Mar 2023
    Please note that OpenCL consists of two parts: host API and a separate language which is used to write kernels (code which is going to be offloaded to devices). OpenCL specification describes host APIs as C-style APIs and that is what implementors has to provide. However, there are number of various libraries which provides bindings for other languages: - C++ - Python - Go - Rust
  • Doubts on pyopencl
    2 projects | /r/OpenCL | 2 Aug 2021
    I thought the project could be dead, but then I looked into the latest commits to the repository, and it is certainly not dead as a project.

What are some alternatives?

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

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces

PyCUDA - CUDA integration for Python, plus shiny features

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

python-performance - Repository for the book Fast Python - published by Manning

CUDA-Guide - CUDA Guide

arrayfire-python - Python bindings for ArrayFire: A general purpose GPU library.

inventory-hunter - ⚡️ Get notified as soon as your next CPU, GPU, or game console is in stock

plotoptix - Data visualisation and ray tracing in Python based on OptiX 7.7 framework.

kernel_tuner - Kernel Tuner

scikit-cuda - Python interface to GPU-powered libraries

pyhpc-benchmarks - A suite of benchmarks for CPU and GPU performance of the most popular high-performance libraries for Python :rocket:

pla-reverse-gui - PySide6-based GUI for Seed Cracking and RNG w/o CFW assistance in Pokemon: Legends Arceus