CUDA/OpenCL Training by Acceleware in Association with Colfax International

Fixed Dates

Date Options:	To be announced
Location:	Colfax International 750 Palomar Ave Sunnyvale, CA 94085 (view map)
Cost:	$1999 USD

* Classes may be subject to minimum enrollment

Custom Dates
Custom dates available for small focused groups (4-10). Contact us with indicative dates to schedule your training session.

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 GPU Programming Model
  • Hands-on-Exercise: Simple Kernels
  • Lecture: The GPU 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: Occupancy Calculator
  • Lecture and Hands-on-Exercise: Memory Optimizations

Download training course detailed outline

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

NVIDIA’s foundational training material is augmented with Acceleware’s experience and with examples specific to an HPC audience