Posted by: shrikantmantri | October 20, 2009

GPU Computing Online Seminars (NVIDIA)

GPU Computing Online Seminars

CUDA Online

This series will cover the basics of data parallel computing on GPU’s  leveraging NVIDIA’s CUDA architecture . Tutorials will cover many topics including C for CUDA, programming to the OpenCL™ API , using DirectCompute and performance optimization techniques, presented by NVIDIA Developer Technology Engineering team and NVIDIA staff online to answer Questions.

Click here to view previously-recorded sessions.

NVIDIA’s September GPU Computing Webinars now open for registration.
These webinars cover many topics including an introduction to C for CUDA, the OpenCLTM API, and performance optimization techniques, presented by NVIDIA DevTech Engineers with additional staff online to answer questions.

These webinars will help you get ready for the new CUDA SuperHero Challenge just launched with TopCoder with cash prizes, you can find out more at:
http://www.topcoder.com/tc?module=Static&d1=sponsors&d2=NVIDIAOverview

Please follow the links to register for each webinar you would like to attend. Advance registration is required. Please note all times are in Pacific Time (UTC-7 hrs, British Summer time -8hrs).

Register Now Using The Links Below:

 

An Introduction to GPU Computing and The CUDA Architecture, 1.5 Hours

NVIDIA presents an introduction to the basics of GPU computing using NVIDIA CUDA technology.
Topics covered include:

  • Writing a small GPU computing program in C from scratch
  • Data transfers
  • Executing functions on the GPU
  • Taking advantage of on-chip shared memory
  • Coordinating CPU and GPU execution

Concepts will be illustrated with step-by-step walkthroughs of code samples, which can be readily compiled and run. Little or no prior GPU Computing experience required.

Memory Optimization and Performance Considerations for CUDA Programming, 1.5 hours

NVIDIA presents CUDA performance considerations.
Topics covered include:

  • Basic optimization techniques
  • GPU Compute HW architecture
  • Data transfer considerations
  • Data structure considerations
  • Device memory optimization
  • Memory access coalescing

Concepts will be illustrated using real code examples together with actual performance gains.

Further CUDA Optimization Techniques, 1.5 hours

NVIDIA presents advanced CUDA optimization tricks and tips
Topics covered include:

  • Execution configuration optimization
  • Instruction level optimization
  • Warp-level optimization
  • Multi-GPU usage
  • Graphics API Interoperability

Concepts will be illustrated using SDK code samples

An Introduction to GPU Computing and OpenCL, 1.5 hours

NVIDIA presents an introduction to the OpenCL API leveraging NVIDIA’s CUDA parallel computing architecture

  • Data parallel computing Introduction
  • OpenCL and the CUDA architecture
  • Overview of OpenCL API
  • OpenCL memory hierarchy
  • Code example walk through

The classes are offered at the following times:

 

Best Practices for OpenCL Programming, 1.5 hours

NVIDIA presents tricks and tips on how to write great OpenCL code.

  • OpenCL and CUDA architecture
  • Memory mapping and performance considerations
  • Performance measurement
  • Memory usage best practices and optimization
  • Achieving best processor occupancy
  • Instruction throughput considerations

The classes are offered at the following times:

Previously-recorded Sessions

Introduction to CUDA

Optimizing CUDA

Further Optimizing CUDA

OpenCL Introduction

Best Practices for OpenCL Programming

 

Source:http://developer.nvidia.com/object/gpu_computing_online.html?refCode=nvinvite

Posted via email from Sharing significant bytes —(Shrikant Mantri)

Advertisements

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out / Change )

Twitter picture

You are commenting using your Twitter account. Log Out / Change )

Facebook photo

You are commenting using your Facebook account. Log Out / Change )

Google+ photo

You are commenting using your Google+ account. Log Out / Change )

Connecting to %s

Categories

%d bloggers like this: