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C++ High Performance

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Getting Started

About This Course Course Coverage and Prerequisite Google Test and Google Benchmark Libraries

A Brief Introduction to C++

Important Features of C++

C++ Compared With Other Languages

Non-performance-Related C++ Language Features

Non-performance-Related C++ Language Features, Continued

Summary: A Brief Introduction to C++

Quiz: Introduction to C++

Essential C++ Techniques

Automatic Type Deduction with the auto Keyword

Using auto for Variables

Const Propagation for Pointers

Move Semantics Explained

Resource Acquisition and the Rule of Five

Named Variables and rvalues

Default Move Semantics and the Rule of Zero

Applying the && Modifier to Class Member Functions

Pass by Value When Applicable

Quiz: Essential Techniques I

Designing Interfaces with Error Handling

Class Invariants

Recoverable Runtime Errors

Function Objects and Lambda Expressions

Initializing Variables in Capture

Mutating Lambda Member Variables

Assigning C Function Pointers to Lambdas

Implementing a Simple Button Class with std::function

Generic Lambdas

Summary: Essential C++ Techniques

Quiz: Essential Techniques II

Analyzing and Measuring Performance

Introduction Asymptotic Complexity and Big O Notation Time Complexity of Insertion Sort Amortized Time Complexity What to Measure and How?Performance Properties Performance Counters Knowing Your Code and Hot Spots Microbenchmarking A Microbenchmark Example Summary: Analyzing and Measuring Performance Quiz: Analyzing and Measuring Performance

Data Structures

Introduction The Properties of Computer Memory The Standard Library Containers Deque, List, forward_list, and basic_string Associative Containers Hash and Equals Container Adaptors Using Views Some Performance Considerations Parallel Arrays Shrinking the Data to Iterate Through by Using Parallel Arrays Summary: Data Structures Quiz: Data Structures

Algorithms

Introduction Introducing the Standard Library Algorithms Solving Everyday Problems More Everyday Problems Iterators and Ranges Iterator Categories Features of the Standard Algorithms Advantages of Using Algorithms in C++Writing and Using Generic Algorithms Best Practices Use of Standard Algorithms Over Raw for-loops Summary: Algorithms Quiz: Algorithms

Ranges and Views

Introduction The Motivation for the Ranges Library Understanding Views from the Ranges Library Ranges Views: Lazy, Non-Mutating Iterations with Materialization Views in the Standard Library Summary: Ranges and Views Quiz: Ranges and Views

Memory Management

Introduction Computer Memory Process Memory Objects in Memory Memory Alignment Padding Memory Ownership Pointers Small Object Optimization Custom Memory Management Custom Memory Allocator Using Polymorphic Memory Allocators Summary: Memory Management Quiz: Memory Management

Course Assessment

C++ Essentials Exam

Compile-Time Programming

Introduction Introduction to Template Metaprogramming Template Creation Type Traits Programming with Constant Expressions The if constexpr Statement Comparison with Runtime Polymorphism Checking Programming Errors at Compile Time Constraints and Concepts Syntactic Overview of Constraints and Concepts Real-World Examples of Metaprogramming I Real-World Examples of Metaprogramming II Summary: Compile-Time Programming Quiz: Compile-Time Programming

Essential Utilities

Introduction Representing Optional Values with std::optional Fixed-Size Heterogenous Collections Tuple Unrolling The Variadic Template Parameter Pack Dynamically Sized Heterogenous Collections Heterogenous Collections Using Variant Real-World Example 1 Real-World Example 2 Summary: Essential Utilities Quiz: Essential Utilities

Proxy Objects and Lazy Evaluation

Introduction Introducing Lazy Evaluation and Proxy Objects Avoiding Constructing Objects Using Proxy Objects Postponing sqrt Computations Implementing the LengthProxy Object Creative Operator Overloading and Proxy Objects Summary : Proxy Objects and Lazy Evaluation Quiz: Proxy Objects and Lazy Evaluation

Concurrency

Introduction Understanding the Basics of Concurrency Data Races Concurrent Programming in C++Advanced Concepts in Concurrent Programming Best Practices for Error Handling in Concurrent Programming Additional Synchronization Primitives in C++20 Signalling and Resource Counting Using Semaphores Atomic Support in C++Multithreaded Programming with shared_ptr and Atomic References The C++ Memory Model Lock-free Programming Performance Guidelines Summary: Concurrency Quiz: Concurrency

Coroutines and Lazy Generators

Introduction An Introduction to C++ Coroutines Executing Subroutines and Coroutines on the CPU Stackless vs. Stackful Coroutines Coroutines in C++A Minimal but Complete Example Avoiding Dangling References Generators Solving Generator Problems A Real-World Example Using Generators Summary: Coroutines and Lazy Generators Quiz: Coroutines and Lazy Generators

Asynchronous Programming with Coroutines

Introduction Awaitable Types Revisited Implementing a Rudimentary Task Type (Part 1)Implementing a Rudimentary Task Type (Part 2)Synchronously Waiting for a Task to Complete Wrapping a Callback-Based API A Concurrent Server Using Boost.Asio Summary: Asynchronous Programming with Coroutines

Parallel Algorithms

Introduction The Importance of Parallelism Implementing Parallel std::transform()Divide and Conquer Implementing Parallel std::count_if() and std::copy_if()Approach 1: Use a Synchronized Write Position Approach 2: Split the Algorithm Into Two Parts Parallel Standard Library Algorithms Unsequenced Policy Additions and Changes to Parallel Algorithms Parallelizing an Index-Based for-Loop Summary: Parallel Algorithms Quiz: Parallel Algorithms

Course Assessment

C++ Advanced Concepts Exam

Introduction

Get introduced to the concepts we will learn in this chapter.

In this chapter, we will take an in-depth look at some fundamental C++ techniques, such as move semantics, error handling, and lambda expressions, that will be used throughout this course. Some of these concepts still confuse even experienced C++ programmers and therefore we will look into both their use cases and how they work under the hood.

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