LSQR-CUDA VS oneMKL

Compare LSQR-CUDA vs oneMKL 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)
Cuda lsqr GPU parallel-computing gpgpu-computing massively-parallel tudarmstadt gris lsqr-solver CPP cuda-lsqr-solver
Source Code
law-dwg.github.io
Suggest alternative
Edit details

oneMKL

oneAPI Math Kernel Library (oneMKL) Interfaces (by oneapi-src)
Oneapi onemkl HPC Dpcpp Performance Blas Intel parallel-computing parallel-programming Cpu GPU math-libraries Rng API Cuda
Source Code
Suggest alternative
Edit details
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
LSQR-CUDA oneMKL
1 2
12 567
- 1.6%
1.3 8.5
12 months ago 4 days ago
Cuda C++
MIT License Apache License 2.0
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.

oneMKL

Posts with mentions or reviews of oneMKL. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-21.

What are some alternatives?

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

pyopencl - OpenCL integration for Python, plus shiny features

oneDNN - oneAPI Deep Neural Network Library (oneDNN)

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

kokkos-kernels - Kokkos C++ Performance Portability Programming Ecosystem: Math Kernels - Provides BLAS, Sparse BLAS and Graph Kernels

CUDA-Guide - CUDA Guide

peakperf - Achieve peak performance on x86 CPUs and NVIDIA GPUs

nekRS - our next generation fast and scalable CFD code

ArrayFire - ArrayFire: a general purpose GPU library.

monolish - monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture

Taskflow - A General-purpose Parallel and Heterogeneous Task Programming System

CuTeLib - CUDA Template Library provides simple, typesafe, performant constructs for C++ CUDA projects

RandN - Better random number generation for .NET

LSQR-CUDA vs pyopencl oneMKL vs oneDNN LSQR-CUDA vs cub oneMKL vs kokkos-kernels LSQR-CUDA vs CUDA-Guide oneMKL vs peakperf oneMKL vs nekRS oneMKL vs ArrayFire oneMKL vs monolish oneMKL vs Taskflow oneMKL vs CuTeLib oneMKL vs RandN