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- C++20: Concurrency
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- C++ Core Guidelines: Rules for Templates and Generic Programming
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- C++ Core Guidelines: More Rules to Concurrency and Parallelism
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- No New New: Raw Pointers Removed from C++
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- C++ Core Guidelines: Rules for Expressions and Statements
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- The new pdf bundle is available: Embedded - Performance Matters
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- C++ Core Guidelines: Rules for Enumerations
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- C++ Core Guidelines: Rules for Unions
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- The C++ Standard Library: The Second Edition includes C++17
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- C++ Core Guidelines: Function Objects and Lambdas
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- C++ Core Guidelines: Comparison, Swap, and Hash
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- My open C++ Seminars in the First Half of 2018
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- I Proudly present my Book is Ready "Concurrency with Modern C++"
- C++ Core Guidelines: The Rule of Zero, Five, or Six
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- C++ Core Guidelines: Semantic of Function Parameters and Return Values
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- C++ Core Guidelines: The Philosophy
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- What is Modern C++?
- The Winner is: Multithreading: The high-level Interface
- ABA - A is not the same as A
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- Blocking and Non-Blocking Algorithms
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- C++17 - What's New in the Library?
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- C++17 - What's New in the Core Language?
- And the Winners are: The C++ Memory Model/Das C++ Speichermodell
- Defining Concepts
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- Coroutines
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- And the Winners are
- Atomic Smart Pointers
- Parallel Algorithms of the Standard Template Library
- Multithreading with C++17 and C++20
- Expression Templates
- C++ is Lazy: CRTP
- Six Vouchers to Win
- Monads in C++
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- Recursion, List Manipulation, and Lazy Evaluation
- ► January (16)
- Pure Functions
- Immutable Data
- Higher-Order Functions
- First-Class Functions
- The Definition of Functional Programming
- Functional in C++17 and C++20
- Functional in C++11 and C++14: Dispatch Table and Generic Lambdas
- Functional in TR1 and C++11
- Functional in C++98
- Object-Oriented, Generic, and Functional Programming
- Memory Pool Allocators from Jonathan Müller
- Pros and Cons of the various Memory Allocation Strategies
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- Memory Management with std::allocator
- Overloading Operator new and delete 2
- ► December (6)
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- Overloading Operator new and delete 1
- Explicit Memory Management
- Garbage Collection - No Thanks
- Perfect Forwarding
- Time for Wishes
- Move Semantic: Two nice Properties
- Copy versus Move Semantic: A few Numbers
- std::array - Dynamic Memory, no Thanks
- Automatic Memory Management of the STL Containers
- std::weak_ptr
- Specialities of std::shared_ptr
- std::shared_ptr
- std::unique_ptr
- Memory and Performance Overhead of Smart Pointers
- Careful Handling of Resources
- Generalized Plain Old Data
- ► November (12)
- Buckets, Capacity, and Load Factor
- Hash Functions
- Associative Containers - A simple Performance Comparison
- Hash Tables
- Type-Traits: Performance Matters
- constexpr Functions
- constexpr - Variables and Objects
- Constant Expressions with constexpr
- inline
- The Null Pointer Constant nullptr
- override and final
- Strongly-Typed Enums
- ► October (12)
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- ► August (9)
- Thread-Safe Initialization of a Singleton
- Ongoing Optimization: Relaxed Semantic with CppMem
- Ongoing Optimization: A Data Race with CppMem
- Ongoing Optimization: Acquire-Release Semantic with CppMem
- Ongoing Optimization: Sequential Consistency with CppMem
- Ongoing Optimization: Locks and Volatile with CppMem
- Ongoing Optimization: Unsynchronized Access with CppMem
- Looking for Proofreaders for my New C++ Book
- Ongoing Optimization
- ► July (7)
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Latest comments
-
C++20: Coroutines - A First Overview
Bobur -
C++20: Python's map Function
John IWhat about: using return_type = std::invoke_result_t; -
C++ Core Guidelines: Be Aware of the Traps of Condition Variables
WayneYour second example (without using dataReady variable) hangs because t2 is scheduled first by OS and ... -
Perfect Forwarding
Ant>>ecause you can either determine the address of the value 5 nor has the created string object a name ... -
C++20: Python's map Function
Michał OLook up ranges v3 `to` function and `to_vector` specialization. It would simplify a lot what you're doing ...
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