NVIDIA GPU Computing Tutorial Webinar Series Announced

By DE Editors

A series of webinars will cover the basics of data parallel computing on GPUs leveraging NVIDIA’s CUDA architecture. Tutorials will cover many topics including C for CUDA, programming to the OpenCL API, and using Direct X Compute and performance optimization techniques. They will be presented by the NVIDIA developer technology engineering team.

Pre-registration is required for the webinars:

GPU Computing - An Introduction, 1.5 Hours + Q&A

• 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.

Date: Wednesday, April 29, 2009
Time: 11 a.m. PST
Register here.

Performance considerations for CUDA programming 1.5 hour + Q&A

• Basic optimization techniques
• Performance measurement,
• Getting the most out of CUDA’s memory system
• Execution configurations.
 

Concepts will be illustrated using real code examples together with actual performance gains. Attendance of the “GPU Computing -  An introduction” tutorial or some experience programming using CUDA Technology is a recommended preparation for this tutorial.

Date: Wednesday, April 22, 2009
Time: 11am PST
Register here.

Date: Wednesday, May, 2009
Time: 11am PST
Register here.

Sources: Press materials received from the company and additional information gleaned from the company’s website.