ascent VS DOKSparse

Compare ascent vs DOKSparse and see what are their differences.

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ascent DOKSparse
4 2
370 2
- -
6.3 4.2
19 days ago 10 months ago
Rust Cuda
MIT License MIT License
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.
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ascent

Posts with mentions or reviews of ascent. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-22.

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 ascent and DOKSparse you can also consider the following projects:

datafrog - A lightweight Datalog engine in Rust

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

leanstore

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

warpcore - A Library for fast Hash Tables on GPUs

CUDA-Guide - CUDA Guide

jsoncrack.com - ✨ Innovative and open-source visualization application that transforms various data formats, such as JSON, YAML, XML, CSV and more, into interactive graphs.

cuhnsw - CUDA implementation of Hierarchical Navigable Small World Graph algorithm

cccl - CUDA C++ Core Libraries

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

treeedb - Generate Soufflé Datalog types, relations, and facts that represent ASTs from a variety of programming languages.

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