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Introduction to Concurrent Programming with GPUs

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Course Features

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Duration

20 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

Beginner

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Teaching Type

Self Paced

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Video Content

20 hours

Course Description

This course will prepare students to write code that can handle large numbers of data simultaneously. This course will cover the foundations of concurrent programming. It will include multithreaded programming in C or Python and introduction to CUDA software/hardware.

Course Overview

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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 learn how to develop concurrent software in python and c/c++ programming languages

Students will gain an introductory level of understanding of gpu hardware and software architectures

Course Instructors

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Chancellor Thomas Pascale

Computer Science

Chancellor Pascale has been an instructor in the Johns Hopkins University's Whiting School of Engineering for over 10 years, teaching in the Computer Science department. He received an undergraduate ...
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