Fundamentals of Accelerated Computing with CUDA C/C++ (FACCC)

 

Course Overview

This workshop teaches the fundamental tools and techniques for accelerating C/C++ applications to run on massively parallel GPUs with CUDA®. You’ll learn how to write code, configure code parallelization with CUDA, optimize memory migration between the CPU and GPU accelerator, and implement the workflow that you’ve learned on a new task—accelerating a fully functional, but CPU-only, particle simulator for observable massive performance gains. At the end of the workshop, you’ll have access to additional resources to create new GPU-accelerated applications on your own.

Please note that once a booking has been confirmed, it is non-refundable. This means that after you have confirmed your seat for an event, it cannot be cancelled and no refund will be issued, regardless of attendance.

Course Objectives

At the conclusion of the workshop, you’ll have an understanding of the fundamental tools and techniques for GPU-accelerating C/C++ applications with CUDA and be able to:

  • Write code to be executed by a GPU accelerator
  • Expose and express data and instruction-level parallelism in C/C++ applications using CUDA
  • Utilize CUDA-managed memory and optimize memory migration using asynchronous prefetching
  • Leverage command-line and visual profilers to guide your work
  • Utilize concurrent streams for instruction-level parallelism
  • Write GPU-accelerated CUDA C/C++ applications, or refactor existing CPU-only applications, using a profile-driven approach

Follow On Courses

Prijs & Delivery methods

Online training

Duur
1 dag

Prijs
  • Op Aanvraag
Klassikale training

Duur
1 dag

Prijs
  • Op Aanvraag

Op dit moment is deze training niet beschikbaar in het open rooster. De kans is echter groot dat wij u toch een passende oplossing kunnen bieden. Wij horen graag wat uw specifieke wensen zijn. U bereikt ons via 030 658 2131 of info@flane.nl. We helpen u graag!