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