DOKSparse VS CUDA-Guide

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

DOKSparse

sparse DOK tensors on GPU, pytorch (by DeMoriarty)
Cuda Pytorch Sparse
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CUDA-Guide

CUDA Guide (by mikeroyal)
Cuda GPU Deep Learning Machine Learning cuda-toolkit cuda-programming Awesome awesome-list awesome-readme cuda-kernels cuda-library cuda-opengl cuda-support gpgpu-computing graphics-programming cuda-development cuda-driver Gpgpu Resources
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DOKSparse CUDA-Guide
2 2
2 46
- -
4.2 4.0
10 months ago 4 months ago
Cuda Cuda
MIT License -
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DOKSparse

Posts with mentions or reviews of DOKSparse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-12-03.
  • GDlog: A GPU-Accelerated Deductive Engine
    16 projects | news.ycombinator.com | 3 Dec 2023
  • tensor.to_sparse() Memory Allocation
    1 project | /r/pytorch | 22 Apr 2023
    If using sparse tensors is a must, you can look into DOK sparse format, which is supported for 2d matrices in scipy. it kinda allows you to access any element of the sparse tensor in constant time, which makes it possible to create your tensor directly in sparse format, skipping the need to create a dense numpy array first. In case you need a GPU version of this, I have a library that implements sparse dok tensor in pytorch and cuda. currently it's GPU only.

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.

What are some alternatives?

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

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

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

MegBA - MegBA: A GPU-Based Distributed Library for Large-Scale Bundle Adjustment

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

cuhnsw - CUDA implementation of Hierarchical Navigable Small World Graph algorithm

TorchPQ - Approximate nearest neighbor search with product quantization on GPU in pytorch and cuda

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.

cudnnxx - cuDNN C++ wrapper.

cccl - CUDA C++ Core Libraries

FirstCollisionTimestepRarefiedGasSimulator - This simulator computes all possible intersections for a very small timestep for a particle model

DOKSparse vs cub CUDA-Guide vs instant-ngp DOKSparse vs MegBA CUDA-Guide vs spikingjelly DOKSparse vs cuhnsw CUDA-Guide vs cub DOKSparse vs TorchPQ CUDA-Guide vs LSQR-CUDA DOKSparse vs instant-ngp CUDA-Guide vs cudnnxx DOKSparse vs cccl CUDA-Guide vs FirstCollisionTimestepRarefiedGasSimulator