kronmult993 VS ginkgo

Compare kronmult993 vs ginkgo and see what are their differences.

kronmult993

CPU and GPU implementations of kronmult. (by project-asgard)
GPU Linear Algebra kronecker-product
Source Code
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ginkgo

Numerical linear algebra software package (by ginkgo-project)
Linear Algebra HPC gpu-computing Cuda krylov-methods preconditioning sparse-linear-systems spmv Hip Oneapi Dpcpp Openmp
Source Code
ginkgo-project.github.io
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kronmult993 ginkgo
1 2
1 375
- 1.9%
0.0 9.8
over 2 years ago about 20 hours ago
C++ C++
- BSD 3-clause "New" or "Revised" License
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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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.

kronmult993

Posts with mentions or reviews of kronmult993. We have used some of these posts to build our list of alternatives and similar projects.

ginkgo

Posts with mentions or reviews of ginkgo. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-08-26.
  • AMD HIP + Cuda in same program
    3 projects | /r/CUDA | 26 Aug 2022
  • Incorporating abidiff into CI?
    1 project | /r/cpp | 28 Nov 2021
    I had exactly the same thought after watching the video (though I wanted to do this for a while anyways) and did exactly that :) I found it interesting to see how different changes impact the ABI of our library, even though we don't promise ABI compatibility or anything. We add the head of the diff part to a PR comment, and store everything else as a build artifact. See the corresponding PR here: https://github.com/ginkgo-project/ginkgo/pull/922

What are some alternatives?

When comparing kronmult993 and ginkgo you can also consider the following projects:

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

HIP - HIP: C++ Heterogeneous-Compute Interface for Portability

Matrix - Easy-to-use Scientific Computing library in/for C++ available for Linux and Windows.

alpaka - Abstraction Library for Parallel Kernel Acceleration :llama:

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

arbor - The Arbor multi-compartment neural network simulation library.

taco - The Tensor Algebra Compiler (taco) computes sparse tensor expressions on CPUs and GPUs

MatX - An efficient C++17 GPU numerical computing library with Python-like syntax

stdgpu - stdgpu: Efficient STL-like Data Structures on the GPU

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!

Halide - a language for fast, portable data-parallel computation

tensorForth - Forth does tensors, in CUDA.

kronmult993 vs kokkos-kernels ginkgo vs HIP kronmult993 vs Matrix ginkgo vs alpaka kronmult993 vs monolish ginkgo vs arbor kronmult993 vs taco ginkgo vs MatX ginkgo vs stdgpu ginkgo vs AdaptiveCpp ginkgo vs Halide ginkgo vs tensorForth