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10 Modules / ~100 pages
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~25 Modules / ~400 pages
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Advanced Techniques in Code Optimization
( 25 Modules )

Module #1
Introduction to Code Optimization
Overview of code optimization, importance, and best practices
Module #2
Memory Optimization Techniques
Understanding memory hierarchy, caching, and optimizing memory access patterns
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


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