Git Product home page Git Product logo

gpu-workshop-2016's Introduction

gpu-workshop-2016

Materials for workshop on GPU computation for statistics, data science, machine learning applications. Please see gpu.html to be guided through the materials.

Session 1: Monday, Feb. 1, 4:10 - 5:30 pm in Evans 1011

  • Introduction to GPU resources that are available (Savio, Amazon EC2)
  • Basics of using GPUs with C, R, and Python

Session 2: Monday Feb. 8, 4:10 - 5:30 pm in Evans 1011

  • Use of packages such as Caffe, TensorFlow, etc. that use GPUs for back-end computation
  • Discussion of use cases by those using GPUs currently
  • Optimizing GPU usage

The workshop will be an introduction to using GPUs and will assume no previous knowledge of GPUs. I will assume familiarity with either R, C, or Python and at least modest familiarity with operating in a UNIX environment. The goal is to get folks up to speed on using GPUs, and we'll cover basic techniques for using a GPU with R, C, and Python.

gpu-workshop-2016's People

Contributors

paciorek avatar

Watchers

 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.