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