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 2 hours long project you will create a business value proposition canvas in Miro, categorizing business products, services and features by company pillars, mapping customer gains, pains and... more
This specialization provides in-depth knowledge and hands-on experience in designing and programming embedded systems using C. Learners will master key concepts such as microcontroller interfacing,... more
This is the first course of a six part specialization. You are STRONGLY encouraged to complete these courses in order as they are not individual independent courses, but part of a workflow where... more
In this lab, you will configure a highly available Memorystore cluster and review the architecture of such a deployment.Created by: Google Cloud more
Examines issues including discrimination and bias, sexual harassment and workplace romance, professional and personal development, power and privilege, work and family, and organizational... more
Powered by
