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Parallel Computing with CUDA

Course Summary

An entry-level course on CUDA - a GPU programming technology from NVIDIA.


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    Course Syllabus

    GPU Architecture Overview
    - 16m 9s

    —Course Outline 2m 41s
    —History of GPU Computation 4m 27s
    —GPGPU Frameworks 2m 47s
    —Graphics Processor Architecture 2m 41s
    —Compute Capability 1m 2s
    —Choosing a Graphics Card 2m 29s
    Tools of The Trade
    - 16m 52s

    —Tools Overview 5m 4s
    —Using NSight 2m 59s
    —Running CUDA Apps 3m 29s
    —Debugging 2m 49s
    —Profiling 2m 29s
    Introduction to CUDA C
    - 30m 14s
    Parallel Programming Patterns
    - 52m 30s
    The Many Types of Memory
    - 12m 42s
    Thread Cooperation and Synchronization
    - 23m 46s
    Atomic Operations
    - 22m 53s
    Events and Streams
    - 35m 58s
    CUDA in Advanced Scenarios
    - 41m 32s


Course Fee:
USD 29

Course Type:

Self-Study

Course Status:

Active

Workload:

1 - 4 hours / week

This course is listed under Development & Implementations and IT Security & Architecture Community

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