Useful Links
1. Introduction to Parallel Computing and GPU Architecture
2. GPU Programming Models and APIs
3. Fundamentals of CUDA Programming
4. Intermediate CUDA Programming
5. Performance Optimization and Profiling
6. Advanced CUDA Programming
7. OpenCL Programming
8. Alternative GPU Programming Frameworks
9. Parallel Algorithms and Patterns
10. Applications and Case Studies
11. Performance Analysis and Optimization
12. Debugging and Testing
  1. Computer Science
  2. Programming

GPU Programming

1. Introduction to Parallel Computing and GPU Architecture
2. GPU Programming Models and APIs
3. Fundamentals of CUDA Programming
4. Intermediate CUDA Programming
5. Performance Optimization and Profiling
6. Advanced CUDA Programming
7. OpenCL Programming
8. Alternative GPU Programming Frameworks
9. Parallel Algorithms and Patterns
10. Applications and Case Studies
11. Performance Analysis and Optimization
12. Debugging and Testing
  1. Performance Analysis and Optimization
    1. Performance Modeling
      1. Roofline Model
        1. Arithmetic Intensity
          1. Memory Bandwidth Limits
            1. Compute Limits
            2. Performance Bounds
              1. Theoretical Peak Performance
                1. Memory Bandwidth Limits
                  1. Latency Considerations
                  2. Scalability Analysis
                    1. Strong Scaling
                      1. Weak Scaling
                        1. Efficiency Metrics
                      2. Bottleneck Analysis
                        1. Memory-Bound vs. Compute-Bound
                          1. Identification Techniques
                            1. Optimization Strategies
                              1. Trade-off Analysis
                              2. Communication Bottlenecks
                                1. Host-Device Transfer
                                  1. Inter-GPU Communication
                                    1. Synchronization Overhead
                                    2. Resource Utilization
                                      1. Occupancy Analysis
                                        1. Warp Efficiency
                                          1. Memory Throughput
                                        2. Advanced Optimization Techniques
                                          1. Kernel Fusion
                                            1. Reducing Memory Traffic
                                              1. Eliminating Intermediate Results
                                                1. Implementation Strategies
                                                2. Memory Optimization
                                                  1. Data Layout Transformation
                                                    1. Memory Pooling
                                                      1. Prefetching Strategies
                                                      2. Instruction-Level Optimization
                                                        1. Loop Unrolling
                                                          1. Vectorization
                                                            1. Instruction Scheduling

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                                                        10. Applications and Case Studies

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                                                        12. Debugging and Testing

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