100 DAYS OF GPU Course preview

MODULE 06 / Days 51-60

Concurrency

All lessons
  1. 51
    CUDA streams and overlapHow do CUDA streams overlap two kernels?
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  2. 52
    Events and cross-stream dependenciesHow do I make one CUDA stream wait on another?
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  3. 53
    Pinned memory and async copiesWhy is cudaMemcpyAsync not asynchronous?
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  4. 54
    Double bufferingHow does double buffering overlap CUDA copies and kernels?
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  5. 55
    Stream-ordered allocation and memory poolsWhat does cudaMallocAsync actually do?
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  6. 56
    CUDA graphsWhen do CUDA graphs actually make a program faster?
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  7. 57
    Graph updates and conditional nodesHow do I change a CUDA graph's parameters, and can a graph loop until convergence without the host?
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  8. 58
    Programmatic dependent launchWhat is programmatic dependent launch in CUDA?
    lesson
  9. 59
    Host threads and the GPUCan multiple CPU threads use CUDA at the same time?
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  10. 60
    Capstone 3: a real-time frame pipelineHow do I build a real-time video pipeline in CUDA?
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