Parallel Computing with CUDA
Offered By: Pluralsight
Course Description
Overview
An entry-level course on CUDA - a GPU programming technology from NVIDIA.
This introductory course on CUDA shows how to get started with using the CUDA platform and leverage the power of modern NVIDIA GPUs. It covers the basics of CUDA C, explains the architecture of the GPU and presents solutions to some of the common computational problems that are suitable for GPU acceleration.
This introductory course on CUDA shows how to get started with using the CUDA platform and leverage the power of modern NVIDIA GPUs. It covers the basics of CUDA C, explains the architecture of the GPU and presents solutions to some of the common computational problems that are suitable for GPU acceleration.
Syllabus
- GPU Architecture Overview 16mins
- Tools of The Trade 16mins
- Introduction to CUDA C 30mins
- Parallel Programming Patterns 52mins
- The Many Types of Memory 12mins
- Thread Cooperation and Synchronization 23mins
- Atomic Operations 22mins
- Events and Streams 35mins
- CUDA in Advanced Scenarios 41mins
Taught by
Dmitri Nesteruk
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