monolish VS stdgpu

Compare monolish vs stdgpu and see what are their differences.

monolish

monolish: MONOlithic LInear equation Solvers for Highly-parallel architecture (by ricosjp)
HPC Linear Algebra Openmp Blas Cpu GPU sparse-matrix Scientific Computing LAPACK matrix-structures Matrix linear-algebra-library Mkl Cuda cpp17-library Cpp17
Source Code
Suggest alternative
Edit details

stdgpu

stdgpu: Efficient STL-like Data Structures on the GPU (by stotko)
Concurrency GPU gpu-computing gpu-acceleration Gpgpu Data structures Stl stl-like stl-containers CPP Cpp17 Cpp20 modern-cpp Cuda Openmp Rocm Hip
Source Code
stotko.github.io
Docs
Suggest alternative
Edit details
InfluxDB
Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
Our great sponsors
monolish stdgpu
1 -
189 1,085
0.0% -
7.8 7.1
6 months ago 20 days ago
C++ C++
Apache License 2.0 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.

monolish

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

stdgpu

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

We haven't tracked posts mentioning stdgpu yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing monolish and stdgpu you can also consider the following projects:

oneMKL - oneAPI Math Kernel Library (oneMKL) Interfaces

ArrayFire - ArrayFire: a general purpose GPU library.

fms_blas - Lightweight BLAS (and some LAPACK) wrapper.

libcudacxx - [ARCHIVED] The C++ Standard Library for your entire system. See https://github.com/NVIDIA/cccl

BitLib - Provides a bit-vector, an optimized replacement of the infamous std::vector<:b:ool>. In addition to the bit-vector, the library also provides implementations of STL algorithms tailored for bit-vectors.

alpaka - The project alpaka has moved to https://github.com/alpaka-group/alpaka

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

moodycamel - A fast multi-producer, multi-consumer lock-free concurrent queue for C++11

Scalix - Scalix is a data parallel compute library that automatically scales to the available compute resources.

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

matrix-sized - Generic matrix with statically known size and bindings to C++ linear algebra libraries (Eigen, Spectra).

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

monolish vs oneMKL stdgpu vs ArrayFire monolish vs fms_blas stdgpu vs libcudacxx monolish vs BitLib stdgpu vs alpaka monolish vs alpaka stdgpu vs moodycamel monolish vs Scalix stdgpu vs Thrust monolish vs matrix-sized stdgpu vs Taskflow