High-Performance Computing for Medical Imaging on Graphics Processing Units (GPU) with CUDA

High-Performance Computing for Medical Imaging on Graphics Processing Units (GPU) with CUDA is organized by SPIE - The International Society for Optics and Photonics and will be held on Feb 16, 2020 at Marriott Marquis Houston, Houston, Texas, United States of America. This CME Conference has been approved for a maximum of 0.4 CEU.

Target Audience:
Scientists, engineers, or technicians who wish to learn CUDA and GPU programming. Knowledge of the C programming language is assumed.

Course Description:
This course covers the basic principles of graphics processing unit (GPU) programming with CUDA. To become familiar with the programming model, we will start with a simple example, to be followed by more in-depth topics related to GPU programming. Some applications to medical imaging will be presented. Anyone who wants to know how to parallelize their code and make it run 10 times faster by harnessing the massively parallel capabilities of modern GPUs, will benefit from taking this course.

Learning Objectives:
• design efficient general-purpose CUDA code tailored to the parallel capabilities of modern GPUs
• be able to learn on your own, understand, and use advanced material on CUDA programming
• analyze and debug existing CUDA code
• modify code samples and use them as building blocks for more complex applications.

Additional details will be posted as soon as information is available.