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CUDA Academy · Lesson

Problems That Love the GPU

Spotting embarrassingly parallel workloads.

Not Every Job Fits the GPU

GPUs are powerful, but they shine on a specific shape of problem. Learning to spot that shape saves you a lot of wasted effort. 🔍

Embarrassingly Parallel Work

The dream case is embarrassingly parallel work: many items, each handled the same way, with no item depending on another.

All lessons in this course

  1. CPU vs GPU: Latency vs Throughput
  2. SIMT: The Same Instruction, Many Threads
  3. What CUDA Actually Is
  4. Problems That Love the GPU
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