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High-Performance GPU Architectures

Course Summary

The High-Performance GPU Architectures training course is designed to demonstrate a foundation of GPU technology for project leaders.

The course begins with a review of parallel programming techniques, like OpenMP and pthreads. Next, it transitions to cover the modern parallel programming technologies found in modern multicore and GPU systems. The course concludes by examining OpenCL concepts for project leaders.

Purpose
 Learn the approach and practices to using GPU architectures for high performance computing.
Audience
 Group leaders and program managers looking to direct high-performance computing projects.
Role
Software Developer
Skill Level
Intermediate
Style
Workshops
Duration
1 Day
Related Technologies
CUDA

 

Productivity Objectives
  • Examine the key concepts, technologies and practices of building performance applications for GPU
  • Review parallel programming techniques, like OpenMP and pthreads
  • Evaluate parallel programming technologies found in multicore and GPU systems
  • Discuss practices for using GPU architectures for high performance computing

What You'll Learn:

In the High-Performance GPU Architectures training course, you'll learn:
  • Overview of GPU architectures
  • Examining of OpenCL concepts
  • Creating and Programming CUDA applications
  • Multicore Architectures
  • Parallel Programming Concepts OpenMP and Pthreads
  • Memory Bandwidth
real world content

Real-World Content

Project-focused demos and labs using your tool stack and environment, not some canned "training room" lab.
expert practitioners

Expert Practitioners

Industry experts that bring their battle scars into the classroom.
experiential learning

Experiential Learning

More coding than lecture, coupled with architectural and design discussions.
tailored outlines

Tailored Outlines

One-size-fits-all doesn't apply to training teams. That's where we come in!
“I appreciated the instructor's technique of writing live code examples rather than using fixed slide decks to present the material.”

VMware

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By filling out this form and clicking submit, you acknowledge our privacy policy.