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Introduction to Parallel Programming with CUDA
This course is part of GPU Programming Specialization.
Course Cost
Free course
Intermediate
Skill Level
19 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full GPU Programming Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
5,906 Enrolled
English
What you'll learn
Develop C/C++ software for CPUs and NVIDIA GPUs using CUDA
Transform sequential algorithms into parallel GPU implementations
Manage different types of GPU memory for optimal performance
Implement multi-dimensional thread and block configurations
Optimize code for massive parallel execution
Skills you'll gain
This course includes:
2.1 Hours PreRecorded video
5 quizzes, 5 programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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Share your certificate with prospective employers and your professional network on LinkedIn.
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There are 5 modules in this course
This comprehensive course focuses on parallel programming using NVIDIA's CUDA framework. Students learn to transform sequential CPU algorithms into parallel GPU implementations that can execute hundreds to thousands of times simultaneously. The curriculum covers essential concepts including thread management, memory hierarchies (global, shared, constant, and register), and performance optimization techniques. Through hands-on programming assignments, students develop practical skills in GPU computing for large-scale data processing.
Course Overview
Module 1 · 3 Hours to complete
Threads, Blocks and Grids
Module 2 · 5 Hours to complete
Host and Global Memory
Module 3 · 5 Hours to complete
Shared and Constant Memory
Module 4 · 3 Hours to complete
Register Memory
Module 5 · 3 Hours to complete
Fee Structure
Individual course purchase is not available - to enroll in this course with a certificate, you need to purchase the complete Professional Certificate Course. For enrollment and detailed fee structure, visit the following: GPU Programming Specialization
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Faculties
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Frequently asked Questions
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