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CUDA at Scale for the Enterprise
This course is part of GPU Programming Specialization.
Course Cost
Free course
Intermediate
Skill Level
26 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.
2,063 Enrolled
English
What you'll learn
Develop software for multiple CPU/GPU systems
Implement asynchronous workflows with CUDA events and streams
Create scalable enterprise-level GPU applications
Optimize sorting algorithms for GPU execution
Master image processing with NPP libraries
Skills you'll gain
This course includes:
3 Hours PreRecorded video
2 peer reviews, 4 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.
CREATED BY
PROVIDED BY
Top companies offer this course to their employees
Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.
There are 5 modules in this course
This advanced course focuses on developing scalable GPU applications for enterprise environments. Students learn to manage multiple CPU/GPU systems, implement asynchronous workflows using CUDA events and streams, and develop complex algorithms for data processing. The curriculum covers advanced topics including multi-GPU programming, sorting algorithms, and image processing using NVIDIA Performance Primitives (NPP). Emphasis is placed on real-world enterprise applications and performance optimization.
Course Overview
Module 1 · 3 Hours to complete
Multiple CPU/GPU Systems
Module 2 · 9 Hours to complete
CUDA Events and Streams
Module 3 · 3 Hours to complete
Sorting Using GPUs
Module 4 · 5 Hours to complete
Image Processing using Nvidia Programming Primitives
Module 5 · 6 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
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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