CUDA in Houston, TX - Oil and Gas focus

Partnering with NVIDIA, this four day CUDA training course is designed for Programmers in the oil and gas industry who are looking to develop comprehensive skills in writing and optimizing applications that fully leverage the many-core processing capabilities of the GPU.

This course will have an oil and gas theme. Commonly used algorithms such as filtering and FFTs will be used and profiled in the examples. The case study on day 4 focuses on efficient implementation of 3D convolution which is highly applicable to reverse time migration. A background in oil and gas is not necessary.

Your fee includes

  • Use of a laptop equipped with CUDA capable GPU
  • Choice of Windows and Linux OS
  • Printed manual of all lectures
  • Electronic copy of lab exercises
  • Certificate of Completion
  • Beverages and snacks

Space is limited - Please register early to guarantee your spot

Your Instructor

Kelly Goss - Training Program Manager
Kelly is the Training Program Manager for Acceleware. She has taught over 25 parallel programming courses for students from a diverse range of industries and backgrounds. Kelly is also a member of Acceleware’s development team, assisting in the writing and optimization of Accceleware applications and providing consulting services to our clients. Kelly has a PhD in Electrical Engineering from the University of Calgary.

Schedule

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

Agenda

  • Day 1:
    • Overview of GPU computing
    • Data-parallel architectures and the GPU programming model
    • GPU memory model & thread cooperation
    • Hands-on exercises: GPU memory management, simple CUDA kernels and shared memory and constant memory
  • Day 2:
    • Asynchronous operations
    • Advanced CUDA features
    • Libraries
    • Debugging GPU Programs
    • Hands-on-exercises: Asynchronous operations, CUDA features, experience with CUFFT, CUBLAS, Thrust, debugging
  • Day 3:
    • Introduction to optimization
    • Resource management, latency and occupancy
    • Memory performance optimizations
    • Profiling applications
    • Hands-on exercises: Arithmetic optimizations, occupancy calculator, profiling and memory access patterns
  • Day 4:
    • CUDA compiler and user-defined libraries
    • OpenACC
    • Hands-on exercises: Case study exercise and OpenACC
    • Case study: Finite difference stencil algorithm or monte carlo simulations

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

NVIDIA’s foundational training material is augmented with Acceleware’s experience over the past 8 years and with examples specific to an HPC audience

Online registration is now closed.

Course details

Date:Mar 12 to Mar 15, 2013
Registration closes:Feb 26, 2013 at 8:45PM (MST)
Location:Houston, TX
Cost:$3,250 USD

 

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