In this webinar, we will bring CUDA into a compute intensive application using Allinea tools. First of all, we will discover Allinea Performance Reports - a great tool to analyze an existing application and determine whether it is appropriate for GPUs or not. If it is, profiling the application is critical to identify the most compute intensive code regions that need to be replaced with CUDA (or OpenACC) implementations. But as the code is being reworked, errors can be introduced. To resolve those profiling and debugging challenges, professional tools such as Allinea Forge are necessary to produce the correct, working, high performance GPU accelerated code with a minimum level of effort.

During this technical session, an Allinea expert will illustrate how Allinea Performance Reports and Allinea Forge can help modernize applications very easily.

Register today! 

Webinar Date: Wednesday, April 22, 2015

Webinar Time: 9:00am - 10:00am (Pacific)

Developing, Debugging and Optimizing GPU Codes for High Performance Computing with Allinea

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Presenter:

Beau Paisley, Support Engineer, Allinea Software

Presenter Bio:

Beau is a computer science and mathematics graduate from the College of William and Mary and performed graduate studies in Electrical Engineering at Purdue University. Beau has over twenty five years of experience in development, marketing, and sales roles with research, academic, and startup organizations. He has previously held positions with NCAR, Applied Physics Lab, and several startup and early growth technical computing companies. Beau is now a Support Engineer with Allinea Software.