cuhnsw VS DOKSparse

Compare cuhnsw vs DOKSparse and see what are their differences.

cuhnsw

CUDA implementation of Hierarchical Navigable Small World Graph algorithm (by js1010)
Hnsw GPU Ann Cuda
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DOKSparse

sparse DOK tensors on GPU, pytorch (by DeMoriarty)
Cuda Pytorch Sparse
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cuhnsw DOKSparse
4 2
112 2
- -
0.0 4.2
about 3 years ago 10 months ago
Cuda Cuda
Apache License 2.0 MIT 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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cuhnsw

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

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.

What are some alternatives?

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

Open3D - Open3D: A Modern Library for 3D Data Processing

CUDA-Guide - CUDA Guide

lightseq - LightSeq: A High Performance Library for Sequence Processing and Generation

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

cuml - cuML - RAPIDS Machine Learning Library

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

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

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

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

cccl - CUDA C++ Core Libraries

warpcore - A Library for fast Hash Tables on GPUs

gdlog

cuhnsw vs Open3D DOKSparse vs CUDA-Guide cuhnsw vs lightseq DOKSparse vs TorchPQ cuhnsw vs cuml DOKSparse vs cub cuhnsw vs FirstCollisionTimestepRarefiedGasSimulator DOKSparse vs instant-ngp DOKSparse vs MegBA DOKSparse vs cccl DOKSparse vs warpcore DOKSparse vs gdlog