Module #3 Loop Optimization Techniques Loop unrolling, loop fusion, and other loop optimization strategies
Module #4 Cache-Friendly Data Structures Designing data structures for optimal cache performance
Module #5 Avoiding Cache Thrashing Techniques to reduce cache thrashing and improve system performance
Module #6 SIMD Instructions and Parallel Processing Using SIMD instructions and parallel processing to optimize compute-intensive code
Module #7 GPU Acceleration and GPGPU Programming Leveraging GPUs for parallel processing and accelerating compute-intensive tasks
Module #8 Profile-Guided Optimization Using profiling tools to identify performance bottlenecks and guide optimization efforts
Module #9 Inlining and Dead Code Elimination Inlining functions and eliminating dead code to reduce overhead
Module #10 Function Call Optimization Optimizing function calls, including parameter passing and return values
Module #11 Register Allocation and Spilling Understanding register allocation and spilling, and optimizing register usage
Module #12 Branch Prediction and Instruction Reordering Techniques to improve branch prediction and instruction reordering
Module #13 Optimizing for Specific Architectures Optimizing code for specific CPU architectures, including ARM, x86, and others
Module #14 Power and Energy Optimization Techniques to reduce power consumption and energy usage in optimized code
Module #15 Code Size Optimization Optimizing code size to reduce memory footprint and improve performance
Module #16 Optimizing for Multicore and Multiprocessor Systems Techniques to optimize code for multicore and multiprocessor systems
Module #17 Using Compiler Optimizations Leveraging compiler optimizations, including auto-vectorization and link-time optimization
Module #18 Optimizing for Real-Time Systems Techniques to optimize code for real-time systems, including predictability and latency
Module #19 Optimizing for Embedded Systems Optimizing code for embedded systems, including resource-constrained environments
Module #20 Case Studies in Code Optimization Real-world examples of code optimization, including success stories and lessons learned
Module #21 Advanced Profiling and Benchmarking Techniques Using advanced profiling and benchmarking techniques to identify performance bottlenecks
Module #22 Code Optimization for Emergent Architectures Optimizing code for emergent architectures, including quantum computing and neuromorphic computing
Module #23 Optimizing for Security and Safety Techniques to optimize code for security and safety, including secure coding practices
Module #24 Code Optimization for AI and ML Workloads Optimizing code for AI and ML workloads, including deep learning and machine learning
Module #25 Course Wrap-Up & Conclusion Planning next steps in Advanced Techniques in Code Optimization career
