Giter Site home page Giter Site logo

cuda-kmeans's Introduction

cuda-kmeans++

Implementing a parallelized kmeans algorithm with Cuda

Steps

Here are the tasks we need to go through

Step Task Status
1 Write a program to generate data given the number of clusters, number of points and number of dimensions Done!
2 Write the non-parallel 2D kmeans algorithm and verify it against OpenCV's code Done!
3 Extend code to n dimensions Done!
4 (practice) Get Cuda working Done!
5 (practice) Calculate the squares of an array of number using Cuda Done!
6 (practice) Do gaussian blurring with Cuda + OpenCV
7 Figure out how to parallelize k-means with Cuda
8 Write parallel code for k-means with cuda / verify against non-parallel algorithm
9 Code cleanup and code review

References

A bunch of useful links / resources found on the internet

cuda-kmeans's People

Contributors

liquidmetal avatar

Watchers

 avatar  avatar  avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.