The CUDA computing platform enables the acceleration of CPU-only applications to run on the world’s fastest massively parallel GPUs. Experience C/C++ application acceleration by:

• Accelerating CPU-only applications to run their latent parallelism on GPUs
• Utilizing essential CUDA memory management techniques to optimize accelerated applications
• Exposing accelerated application potential for concurrency and exploiting it with CUDA streams
• Leveraging command line and visual profiling to guide and check your work

Upon completion, you’ll be able to accelerate and optimize existing C/C++ CPU-only applications using the most essential CUDA tools and techniques. You’ll understand an iterative style of CUDA development that will allow you to ship accelerated applications fast.

Prerequisities

Basic C/C++ competency including familiarity with variable types, loops, conditional statements, functions, and array manipulations. No previous knowledge of CUDA programming is assumed.

Suggested Resources to Satisfy Prerequisites

The learn-c.org interactive tutorial.

Tools, Libraries, and Frameworks Used

• CUDA C++
• nvcc
• Nsight Systems