CUDA Streams: The Secret to GPU Power
Автор: Forward Logic
Загружено: 2025-12-26
Просмотров: 173
Most CUDA developers focus on writing better kernels, but the real performance bottleneck isn't the math—it's the idle time. In this video, we’re unlocking the power of CUDA Streams to overlap data transfers and computation.
We’re moving beyond the "Default Stream" to show you how a few architectural changes can double your throughput. In this 15-minute masterclass, we cover:
✅ Why your GPU sits idle during cudaMemcpy
✅ The "Chef & Delivery" analogy for Concurrency
✅ Why Pinned Memory (cudaMallocHost) is the secret to async speed
✅ A step-by-step code walkthrough of Multi-Stream orchestration
✅ Visualizing the "Staircase Effect" in Nsight Systems
#cuda #gpu #parallelcomputing #nvidia #aiengineering #programming #cpp #deeplearning
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