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. Debugging and Testing
    1. Debugging Methodologies
      1. Systematic Debugging Approach
        1. Problem Isolation
          1. Hypothesis Testing
            1. Incremental Verification
            2. Common Bug Categories
              1. Memory Errors
                1. Synchronization Issues
                  1. Logic Errors
                    1. Performance Bugs
                  2. Debugging Tools
                    1. CUDA Debuggers
                      1. cuda-gdb
                        1. NVIDIA Nsight Debugger
                          1. IDE Integration
                          2. Memory Debugging
                            1. CUDA Memcheck
                              1. AddressSanitizer
                                1. Valgrind Integration
                                2. Profiling for Debugging
                                  1. Performance Anomaly Detection
                                    1. Resource Usage Analysis
                                      1. Timeline Analysis
                                    2. Testing Strategies
                                      1. Unit Testing
                                        1. Kernel Testing
                                          1. Host Code Testing
                                            1. Test Framework Integration
                                            2. Integration Testing
                                              1. End-to-End Testing
                                                1. Multi-GPU Testing
                                                  1. Performance Regression Testing
                                                  2. Validation Techniques
                                                    1. Numerical Accuracy
                                                      1. Result Verification
                                                        1. Cross-Platform Validation

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                                                    1. Introduction to Parallel Computing and GPU Architecture

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