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
In this project you will learn to identify and use correct syntax when writing SQL retrieval queries. Through hands-on activities in SQLiteStudio, you will gain experience with the SQL syntax used... more
This specialisation introduces students to the emerging and multidisciplinary field of digital health and the role and application of digital health technologies including mobile applications,... more
This course provides a comprehensive introduction to political citizenship from both a theoretical and empirical perspective, with a particular emphasis on its participatory dimension. Participants... more
Software is eating the world, with radical consequences for financial services. This course gives you a foundation for understanding the future of financial services, and provides guidance for... more
In this course, you will learn how Azure Functions enable the creation of event-driven, compute-on-demand systems that can be triggered by various external events. You will earn how to leverage... more