2010sunnyvale

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CUDA Training in Sunnyvale, CA: Register here!

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Date Options: Feb. 24th - 25th, 2010
Location: Colfax International
750 Palomar Ave
Sunnyvale, CA 94085
(view map)
Contact: Acceleware
403.249.9099, services@acceleware.com
Cost: $1999 USD
Space is limited - Please register early to guarantee your spot
   
   

Your Trainer

Chris Mason - Acceleware Product Manager

Chris is the product manager for the linear algebra solver product line at Acceleware. He has been responsible for the successful launch of Acceleware products used by companies world-wide. His previous experience includes parallelization of algorithms on digital signal processors (DSPs) for cellular phones and base stations.

Chris has a Masters in Electrical Engineering from Stanford University.

 

Agenda

  • Day 1:
    • Lecture: Overview of GPU Computing
    • Hands-on-Exercise: Memory Allocation and Memory Transfers
    • Lecture: Data-Parallel Architectures and the CUDA Programming Model
    • Hands-on-Exercise: Simple Kernels
    • Lecture: The CUDA Memory Model & Thread Cooperation
    • Hands-on-Exercise: Shared Memory and Constant Memory
    • Lecture: Asynchronous Operations
  • Day 2:
    • Hands-on-Exercise: Asynchronous Operations
    • Lecture: Introduction to Optimization
    • Hands-on-Exercise: Arithmetic Optimization
    • Lecture: Resource Management, Latency and Occupancy
    • Hands-on-Exercise: CUDA Occupancy Calculator
    • Lecture and Hands-on-Exercise: Memory Optimizations

 

 

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 5.5 years and with examples specific to an HPC audience

“The Acceleware trainer did a great job while he was here.  Actually, he was awesome.  The class was well prepared and well delivered.  The trainer’s depth of knowledge exceeded everyone’s expectations.  He has obviously been immersed in the GPU development environment for years.  I had the pleasure of attending the second week of training.”


Mark McFarlane,
Saudi Aramco		 “The 10x-100x performance benefit from using NVIDIA’s GPUs has companies in a broad selection of industries clamouring to port their applications to the massively parallel programming model of the GPU. These companies, in fields such as seismic exploration, financial simulation or medical imaging can now augment their staff with Acceleware’s seasoned team of CUDA software developers to more rapidly bring their applications to market”

Andy Keane,
General Manager,
GPU Computing at NVIDIA