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