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Khamisi Kibet

Khamisi Kibet

Software Developer

I am a computer scientist, software developer, and YouTuber, as well as the developer of this website, spinncode.com. I create content to help others learn and grow in the field of software development.

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7 Months ago | 50 views

**Course Title:** Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques **Section Title:** Testing, Debugging, and Profiling **Topic:** Performance profiling using `gprof` and modern tools (perf, VTune) **Introduction** Performance profiling is an essential aspect of software development that involves analyzing the performance characteristics of your code to identify areas for optimization. In this topic, we will discuss traditional and modern performance profiling tools, including `gprof`, `perf`, and Intel VTune Amplifier. By the end of this topic, you will be able to: * Understand the basics of performance profiling * Use traditional profiling tools like `gprof` * Use modern profiling tools like `perf` and Intel VTune Amplifier * Identify performance bottlenecks in your code * Optimize your code for better performance **Traditional Profiling with `gprof`** `gprof` is a traditional profiling tool that was widely used in the past. Although it is still available, its usage is diminishing due to its limitations. Here's a brief overview of how to use `gprof`: 1. Compile your code with the `-pg` flag to enable profiling. 2. Run your executable to generate profiling data. 3. Use the `gprof` command to analyze the profiling data and generate a report. Here's an example of how to use `gprof`: ```bash $ g++ -o example example.cpp -pg $ ./example $ gprof ./example gmon.out > profiling.log ``` **Modern Profiling with `perf`** `perf` is a modern profiling tool that is widely used in the Linux community. It provides more accurate and detailed information about the performance characteristics of your code. Here's a brief overview of how to use `perf`: 1. Install the `linux-tools` package to install `perf`. 2. Run your executable with `perf record`. 3. Use `perf report` to generate a profiling report. Here's an example of how to use `perf`: ```bash $ sudo apt-get install linux-tools $ perf record ./example $ perf report ``` **Intel VTune Amplifier** Intel VTune Amplifier is a powerful profiling tool that provides detailed information about the performance characteristics of your code. Here's a brief overview of how to use Intel VTune Amplifier: 1. Install Intel VTune Amplifier. 2. Run your executable with Intel VTune Amplifier. 3. Use the Intel VTune Amplifier interface to generate a profiling report. Here's an example of how to use Intel VTune Amplifier: ```bash $ sudo apt-get install intel-vtune-amplifier $ amplifyxe-cl -run-collector=hotspots -- ./example ``` **Best Practices for Performance Profiling** Here are some best practices for performance profiling: * Profile your code on a representative machine to ensure accurate results. * Use a profiling tool that provides accurate and detailed information about the performance characteristics of your code. * Focus on identifying performance bottlenecks in your code. * Use a systematic approach to optimize your code for better performance. * Verify the performance improvements after optimizing your code. **Conclusion** In this topic, we discussed traditional and modern performance profiling tools, including `gprof`, `perf`, and Intel VTune Amplifier. By using these tools, you can identify performance bottlenecks in your code and optimize it for better performance. **Exercise** Try using `perf` to profile a simple C++ executable. Identify the performance bottlenecks in your code and optimize it for better performance. **Additional Resources** * `perf`: https://perf.wiki.kernel.org/index.php/Main_Page * Intel VTune Amplifier: https://software.intel.com/en-us/vtune-amp-help **Leave a Comment** Have you tried using any of these profiling tools before? What was your experience like? Do you have any questions about performance profiling? Let us know in the comments below! *Note: This is the final topic in the Testing, Debugging, and Profiling section. The next topic will be in the Advanced C++ Features: C++20 and Beyond section.*
Course
C++
OOP
Templates
Multithreading
C++20

Performance Profiling Tools in C++

**Course Title:** Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques **Section Title:** Testing, Debugging, and Profiling **Topic:** Performance profiling using `gprof` and modern tools (perf, VTune) **Introduction** Performance profiling is an essential aspect of software development that involves analyzing the performance characteristics of your code to identify areas for optimization. In this topic, we will discuss traditional and modern performance profiling tools, including `gprof`, `perf`, and Intel VTune Amplifier. By the end of this topic, you will be able to: * Understand the basics of performance profiling * Use traditional profiling tools like `gprof` * Use modern profiling tools like `perf` and Intel VTune Amplifier * Identify performance bottlenecks in your code * Optimize your code for better performance **Traditional Profiling with `gprof`** `gprof` is a traditional profiling tool that was widely used in the past. Although it is still available, its usage is diminishing due to its limitations. Here's a brief overview of how to use `gprof`: 1. Compile your code with the `-pg` flag to enable profiling. 2. Run your executable to generate profiling data. 3. Use the `gprof` command to analyze the profiling data and generate a report. Here's an example of how to use `gprof`: ```bash $ g++ -o example example.cpp -pg $ ./example $ gprof ./example gmon.out > profiling.log ``` **Modern Profiling with `perf`** `perf` is a modern profiling tool that is widely used in the Linux community. It provides more accurate and detailed information about the performance characteristics of your code. Here's a brief overview of how to use `perf`: 1. Install the `linux-tools` package to install `perf`. 2. Run your executable with `perf record`. 3. Use `perf report` to generate a profiling report. Here's an example of how to use `perf`: ```bash $ sudo apt-get install linux-tools $ perf record ./example $ perf report ``` **Intel VTune Amplifier** Intel VTune Amplifier is a powerful profiling tool that provides detailed information about the performance characteristics of your code. Here's a brief overview of how to use Intel VTune Amplifier: 1. Install Intel VTune Amplifier. 2. Run your executable with Intel VTune Amplifier. 3. Use the Intel VTune Amplifier interface to generate a profiling report. Here's an example of how to use Intel VTune Amplifier: ```bash $ sudo apt-get install intel-vtune-amplifier $ amplifyxe-cl -run-collector=hotspots -- ./example ``` **Best Practices for Performance Profiling** Here are some best practices for performance profiling: * Profile your code on a representative machine to ensure accurate results. * Use a profiling tool that provides accurate and detailed information about the performance characteristics of your code. * Focus on identifying performance bottlenecks in your code. * Use a systematic approach to optimize your code for better performance. * Verify the performance improvements after optimizing your code. **Conclusion** In this topic, we discussed traditional and modern performance profiling tools, including `gprof`, `perf`, and Intel VTune Amplifier. By using these tools, you can identify performance bottlenecks in your code and optimize it for better performance. **Exercise** Try using `perf` to profile a simple C++ executable. Identify the performance bottlenecks in your code and optimize it for better performance. **Additional Resources** * `perf`: https://perf.wiki.kernel.org/index.php/Main_Page * Intel VTune Amplifier: https://software.intel.com/en-us/vtune-amp-help **Leave a Comment** Have you tried using any of these profiling tools before? What was your experience like? Do you have any questions about performance profiling? Let us know in the comments below! *Note: This is the final topic in the Testing, Debugging, and Profiling section. The next topic will be in the Advanced C++ Features: C++20 and Beyond section.*

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Modern C++ Programming: Mastering C++ with Best Practices and Advanced Techniques

Course

Objectives

  • Understand and master core C++ concepts along with the latest C++20/23 features.
  • Write efficient, maintainable, and scalable C++ code using best practices.
  • Learn advanced object-oriented programming (OOP), templates, and metaprogramming in C++.
  • Gain hands-on experience with multithreading, memory management, and performance optimization.
  • Work with popular C++ libraries and understand modern tooling for debugging, testing, and version control.

Introduction to C++ and Environment Setup

  • Overview of C++: History, evolution, and use cases.
  • Setting up a development environment (IDE: Visual Studio, CLion, or VSCode).
  • Compiling, linking, and running C++ programs.
  • Basic syntax: Variables, data types, operators, and control structures.
  • Lab: Install and set up a C++ IDE, write and compile your first C++ program.

Data Structures and Algorithms in C++

  • Built-in data types and structures (arrays, strings, pointers).
  • STL containers: `std::vector`, `std::array`, `std::list`, and `std::map`.
  • STL algorithms: Sorting, searching, and manipulating containers.
  • Introduction to C++20 ranges and views for modern iteration.
  • Lab: Solve real-world problems using STL containers and algorithms.

Functions and Modular Programming

  • Defining and calling functions: Return types, parameters, and overloading.
  • Pass-by-value vs pass-by-reference, and `const` correctness.
  • Lambda expressions in modern C++.
  • Understanding inline functions and the `constexpr` keyword.
  • Lab: Write modular code using functions, with an emphasis on lambda expressions and constexpr.

Object-Oriented Programming (OOP) in C++

  • Understanding classes and objects in C++.
  • Constructors, destructors, and copy constructors.
  • Inheritance, polymorphism, virtual functions, and abstract classes.
  • The Rule of Three/Five/Zero and smart pointers (`std::unique_ptr`, `std::shared_ptr`).
  • Lab: Design a class-based system implementing inheritance and smart pointers.

Templates and Generic Programming

  • Understanding templates: Function and class templates.
  • Template specialization and overloading.
  • Variadic templates and fold expressions in C++17/20.
  • Concepts in C++20: Constraining templates with concepts.
  • Lab: Implement a generic data structure using templates and C++20 concepts.

Memory Management and Resource Management

  • Understanding dynamic memory allocation (`new`, `delete`, `malloc`, `free`).
  • RAII (Resource Acquisition Is Initialization) and smart pointers for resource management.
  • Memory leaks, dangling pointers, and best practices for avoiding them.
  • Modern memory management techniques using `std::unique_ptr`, `std::shared_ptr`, and `std::weak_ptr`.
  • Lab: Write a C++ program managing dynamic memory efficiently using RAII and smart pointers.

Multithreading and Concurrency

  • Introduction to multithreading in C++ with the `<thread>` library.
  • Synchronization primitives: Mutexes, condition variables, and locks.
  • Understanding deadlocks, race conditions, and strategies to avoid them.
  • Futures, promises, and asynchronous programming in C++17/20.
  • Lab: Implement a multithreaded program using mutexes and condition variables, and solve concurrency issues.

File I/O and Serialization

  • File input/output in C++: Working with file streams (`std::ifstream`, `std::ofstream`).
  • Reading and writing binary data to files.
  • Text and binary serialization techniques.
  • Using third-party libraries for serialization (e.g., Boost.Serialization).
  • Lab: Write a C++ program that reads from and writes to files, using both text and binary formats.

Error Handling and Exceptions

  • Introduction to exception handling: `try`, `catch`, `throw`.
  • Best practices for writing exception-safe code.
  • Modern alternatives: `std::optional`, `std::variant`, and `std::expected` in C++17/20.
  • Handling resources in exception handling: RAII revisited.
  • Lab: Develop a C++ program that gracefully handles errors and exceptions.

Testing, Debugging, and Profiling

  • Unit testing in C++: Introduction to testing frameworks (Google Test, Catch2).
  • Mocking and test-driven development (TDD).
  • Debugging tools: GDB, Valgrind, and sanitizers (address, thread, and memory).
  • Performance profiling using `gprof` and modern tools (perf, VTune).
  • Lab: Write unit tests for your C++ code and use a debugging tool to track down and fix a memory issue.

Advanced C++ Features: C++20 and Beyond

  • Introduction to C++20 features: Modules, coroutines, and concepts.
  • Coroutines in modern C++: Asynchronous programming and generators.
  • Using C++20 ranges for cleaner, more expressive code.
  • Modules in C++20: Breaking the limits of traditional header files.
  • Lab: Refactor existing code to utilize C++20 features like coroutines and ranges.

C++ Libraries and Real-World Applications

  • Overview of popular C++ libraries: Boost, Qt, and others.
  • Building and integrating third-party libraries into your project.
  • Cross-platform development with CMake and other build systems.
  • Modern deployment techniques: Docker, cloud platforms, and CI/CD pipelines.
  • Lab: Build a small C++ project using CMake and deploy it using Docker.

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