Information Technology
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CUDA at Scale for the Enterprise

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Course Features

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Duration

29 hours

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

29 hours

Course Description

This course will help students to understand how to scale GPUs and CPUs beyond what is available for consumer-grade installations. Students will be able to use asynchronous workflows to send and receive events and control signals to encapsulate data transfers. Students will also learn how to use GPUs for sorting data and processing images. They can even create their own software using these techniques.

Course Overview

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Post Course Interactions

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Hands-On Training,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

What You Will Learn

Students will develop software that uses CUDA to create interactive GPU computational processing kernels for handling asynchronous data

Students will learn to develop software that can be run in computational environments that include multiple CPUs and GPUs

Students will use CUDA, hardware memory capabilities, and algorithms/libraries to solve programming challenges including image processing

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