Part 3: GPU Computing: CuPy and PyTorch Tensors
Chapter 13: Performance Patterns and Memory Management
Intermediate~120 min
Learning Objectives
- Manage GPU memory allocation and avoid out-of-memory errors in large simulations
- Implement batched operations for throughput-optimal GPU utilization
- Use mixed precision (FP16/BF16) for 2x speedup with acceptable numerical error
- Design data loading pipelines that overlap CPU I/O with GPU computation
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