The CUDA Developer Conference is for software developers interested in accelerating their applications using CUDA and the GPU. With programs designed for both those new to CUDA programming and those with experience using the CUDA environment, this is a must-attend event for GPU programmers.

Click here for session information.

The conference is divided into three tracks:

• CUDA Development Tools and Libraries. Help shape the future of CUDA development tools and meet third-party partners who provide CUDA libraries and tools. This workshop covers: supported operating systems, IDEs, debugging and profiling, programming language interfaces, graphical interoperability, multi-GPU/peer-to-peer, open source, and compiler optimization.
  
• CUDA Applications. See the massive performance gains and cost savings achieved industry and academic experts using CUDA in the fields of molecular dynamics and computational chemistry; computational finance and quantitative risk analysis; geophysical and seismic processing; video, imaging, and computer vision; astrophysics and astronomy; and more. Hear from your peers their experiences, environments, and what worked and what didn't. See how their results have scaled with the rapid GPU technology technology evolution.
  
• CUDA Boot Camp Training. A full day of hands-on CUDA programming courses, both introductory and advanced. The introductory course, for those with some prior parallel programming experience but unfamiliar with CUDA, moves quickly from how to move sequential C or FORTRAN code to CUDA and covers some advanced optimization techniques. The advanced course is entirely focused on optimization and utilization of the latest CUDA GPUs and profiling tools.

Don't miss this great opportunity to meet your peers in compute-intensive fields who have achieved significant performance and cost benefits and who, by incorporating GPU programming, have reached research and business goals they could not have otherwise attained.