GPU Programming

About this Specialization

This specialization is intended for data scientists and software developers to create software that uses commonly available hardware. Students will be introduced to CUDA and libraries that allow for performing numerous computations in parallel and rapidly. Applications for these skills are machine learning, image/audio signal processing, and data processing.

Created by: Johns Hopkins University


Related Online Courses

Do you find yourself in an industry or field that increasingly uses data to answer questions? Are you working with an overwhelming amount of data and need to make sense of it? Do you want to avoid... more
This learning path will showcase the skills needed to build dataflows, initial machine learning patterns and utilization of Vertex AI Search for Retail in pursuit of increased retail search... more
This is a self-paced lab that takes place in the Google Cloud console. The Cloud Natural Language API lets you extract entities and perform sentiment and syntactic analysis on text. Watch these... more
Apache Kafka is an open-source distributed stream processing platform. Organizations widely adopt it for its scalability, fault tolerance, and high throughput. More than 80 percent of the Fortune... more
This specialization is intended for people who are interested in taking their web development with Django to the next level. It is assumed that learners have are familiar with Python and have taken... more

CONTINUE SEARCH

FOLLOW COLLEGE PARENT CENTRAL