DOKSparse VS cub

Compare DOKSparse vs cub and see what are their differences.

DOKSparse

sparse DOK tensors on GPU, pytorch (by DeMoriarty)
Cuda Pytorch Sparse
Source Code
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cub

[ARCHIVED] Cooperative primitives for CUDA C++. See https://github.com/NVIDIA/cccl (by NVIDIA)
Cuda nvidia-hpc-sdk cub GPU CPP Cpp11 Cpp14 Cpp17 Cpp20 Cxx cxx11 cxx14 cxx17 cxx20 Algorithms Nvidia

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DOKSparse cub
2 1
2 1,642
- -
4.2 7.6
10 months ago 7 months ago
Cuda Cuda
MIT License 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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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.

cub

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

What are some alternatives?

When comparing DOKSparse and cub you can also consider the following projects:

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

CUDA-Guide - CUDA Guide

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.

cuhnsw - CUDA implementation of Hierarchical Navigable Small World Graph algorithm

webxx - Declarative, composable, concise & fast HTML & CSS components in C++

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

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

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

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

cccl - CUDA C++ Core Libraries

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

DOKSparse vs MegBA cub vs CUDA-Guide DOKSparse vs CUDA-Guide cub vs LSQR-CUDA DOKSparse vs cuhnsw cub vs webxx DOKSparse vs TorchPQ cub vs Thrust DOKSparse vs instant-ngp cub vs FirstCollisionTimestepRarefiedGasSimulator DOKSparse vs cccl cub vs Scalix