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Introduction to Concurrent Programming with GPUs
This course is part of GPU Programming Specialization.
Course Cost
Free course
Beginner
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.
11,048 Enrolled
English
What you'll learn
Develop concurrent software in Python and C/C++
Understand GPU hardware and software architectures
Implement parallel processing algorithms
Program using CUDA framework
Optimize code for GPU execution
Skills you'll gain
This course includes:
2.3 Hours PreRecorded video
4 quizzes, 8 programming assignments
Access on Mobile, Tablet, Desktop
FullTime access
Shareable certificate
Get a Completion Certificate
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Get a Completion Certificate
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 introduces students to concurrent programming with a focus on GPU computing. Starting with fundamental concepts of parallel programming on CPUs and GPUs, students learn about threading, synchronization, and common concurrency patterns. The curriculum covers both Python and C++ implementations before diving into NVIDIA GPU architecture and CUDA programming. Special emphasis is placed on practical applications with hands-on programming assignments and real-world examples.
Course Overview
Module 1 · 3 Hours to complete
Core Principles of Parallel Programming on CPUs and GPUs
Module 2 · 3 Hours to complete
Introduction to Parallel Programming with C and Python
Module 3 · 6 Hours to complete
NVidia GPU Hardware/Software
Module 4 · 3 Hours to complete
Introduction to GPU Programming
Module 5 · 4 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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