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NVIDIA NVD-001 Exam Syllabus Topics:
| Section | Weight | Objectives |
|---|---|---|
| Topic 1: CUDA Programming Model | 25% | - Kernel launch syntax and execution flow - Heterogeneous computing architecture - Grid, block, thread hierarchy and SIMT execution |
| Topic 2: Error Handling and Best Practices | 10% | - CUDA error checking - Code portability and maintainability |
| Topic 3: Memory Management | 30% | - Memory allocation and data transfer - Global, shared, constant, texture, local memory - Memory coalescing and access optimization |
| Topic 4: Performance Optimization | 15% | - Kernel optimization techniques - Profiling tools and bottleneck identification - Concurrency and stream usage |
| Topic 5: CUDA Hardware and Architecture | 20% | - Compute capability and feature support - Streaming Multiprocessors (SM) and warp scheduling |
