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What you'll learn

Students will learn how to utilize the CUDA framework to write C/C++ software that runs on CPUs and Nvidia GPUs.

Students will transform sequential CPU algorithms and programs into CUDA kernels that execute 100s to 1000s of times simultaneously on GPU hardware.

Skills you'll gain

Algorithms

Data Structures

Distributed Computing

Performance Tuning

C (Programming Language)

OS Process Management

Hardware Architecture

Debugging

C++ (Programming Language)

Computer Architecture

Development Environment

Performance Testing

Program Development

Data Storage

System Programming

Data Access

There are 5 modules in this course

This course will help prepare students for developing code that can process large amounts of data in parallel on Graphics Processing Units (GPUs). It will learn on how to implement software that can solve complex problems with the leading consumer to enterprise-grade GPUs available using Nvidia CUDA. They will focus on the hardware and software capabilities, including the use of 100s to 1000s of threads and various forms of memory.

Threads, Blocks and Grids

Host and Global Memory

Shared and Constant Memory