GPU Computing for Data Science

Video

When working with big data or complex algorithms, we often look to parallelize our code to optimize runtime. By taking advantage of a GPU’s 1000+ cores, a data scientist can quickly scale out solutions inexpensively and more quickly than using traditional CPU cluster computing. In this recorded webinar, we present ways to incorporate GPU computing to complete computationally intensive tasks in both Python and R.

What’s inside:

  • Why use GPUs?
  • Example application in data science
  • Programming your GPU

Watch the Video

Latest resources

Resource

451 Research Report - Domino Data Adds Model Management Framework to Data Science Platform

Resource

A Framework to Build a Model-Driven Business

Resource

Accelerate Adoption of SAS Data Science Use Cases in the Cloud Using Domino

Resource

Apps in Domino

Make your business model-driven.

Have a question? Feel free to contact us.