C++ AMP in Boston

C++ Accelerated Massive Parallelism (C++ AMP) is a programming model that can accelerate the execution of your C++ code by taking advantage of the data-parallel hardware that is commonly present as a GPU and multi-core CPU.

Your fee includes

  • Hands-on exercises developed by our experts
  • Individual laptops with compute capable GPUs for student use
  • Printed manual of all lectures
  • Electronic copy of lab exercises
  • C++ AMP Quick Reference Guide
  • Certificate of completion

Space is limited - Please register early to guarantee your spot

Your Instructor

Kelly Goss - Training Program Manager
Kelly is Acceleware’s passionate and energetic Training Program Manager. She is responsible for the development and management of all training materials. Kelly is also an integral member of our professional services team advising our clients on the best platforms, programming models and languages to meet their needs. Kelly has taught over 35 high performance courses to students from a diverse range of industries and backgrounds. She has also delivered tutorials at a number of conferences including Supercomputing and NVIDIA’s GPU Technology Conference. Kelly has a PhD in Electrical Engineering from the University of Calgary.


Tue-Fri: 9:00AM – 5:00PM (includes a 1 hour break for lunch)

4 Day Course Syllabus

  • Day 1: Introduction to GPU Programming and GPU Architectures
    • Overview of GPU Computing
    • C++ 11 Lambda Syntax
    • Data-Parallel Architectures and C++ AMP Programming Model
    • AMPed Up! (AKA More C++ AMP Features)
    • Hands-on Exercises: Lambda Functions and Templates, Intro to C++ AMP and Mini Exercises exploring AMP Features
  • Day 2: Lower Level API, Debugging and Graphics
    • Lower Level API (Tiles)
    • Debugging C++ AMP Programs & Understanding Numerical Differences
    • Textures & DirectX Interoperability
    • Hands-on Exercises: Debugging Demo and Moving Average Filter, C++ AMP Support in the Visual Studio 11 Debugger, Graphics Interoperability
  • Day 3: Intro to Optimization
    • Asynchronous Operations and Efficient Copy Operations
    • Accelerator Architectures/Latency
    • Performance Optimizations
    • Hands-on Exercises: Asynchronous Operations, Latency Exercise, Arithmetic and Memory Performance Optimization
  • Day 4: Profiling and Case Studies
    • Profiling Applications
    • Case Study 1: Finite Difference Stencil Algorithm
    • Case Study 2: Monte Carlo Simulations
    • Hands-on Exercises: C++ AMP Features in Concurrency Visualiser for Visual Studio 11, Finite Difference Exercise and Monte Carlo Exercise

All lectures are a combination of teaching and hands-on tutorials

Online registration is now closed.

Course details

Date:Sep 10 to Sep 13, 2013
Registration closes:Aug 30, 2013 at 10:00PM (MST)
Location:Boston, MA (venue TBC)
Cost:$3,250 USD


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