Concurrency books — C++¶

Modern Parallel Programming with C++ and Assembly Language: X86 SIMD Development Using AVX, AVX2, and AVX-512¶

Daniel Kusswurm · 1st edition · Apress · 2022
dedicated to concurrency · on the shelf · publisher ↗ · example code ↗

Chapters

1 SIMD Fundamentals
2 AVX C++ Programming: Part 1
3 AVX C++ Programming: Part 2
4 AVX2 C++ Programming: Part 1
5 AVX2 C++ Programming: Part 2
6 AVX2 C++ Programming: Part 3
7 AVX-512 C++ Programming: Part 1
8 AVX-512 C++ Programming: Part 2
9 Supplemental C++ SIMD Programming
10 X86-64 Processor Architecture
11 Core Assembly Language Programming: Part 1
12 Core Assembly Language Programming: Part 2
13 AVX Assembly Language Programming: Part 1
14 AVX Assembly Language Programming: Part 2
15 AVX2 Assembly Language Programming: Part 1
16 AVX2 Assembly Language Programming: Part 2
17 AVX-512 Assembly Language Programming: Part 1
18 AVX-512 Assembly Language Programming: Part 2
19 SIMD Usage and Optimization Guidelines

Cited on: SIMD

Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL¶

James Reinders, Ben Ashbaugh, James Brodman, Michael Kinsner, John Pennycook, Xinmin Tian · 1st edition · Apress · 2021
dedicated to concurrency · on the shelf · publisher ↗ · example code ↗

Chapters

1 Introduction
2 Where Code Executes
3 Data Management
4 Expressing Parallelism
5 Error Handling
6 Unified Shared Memory
7 Buffers
8 Scheduling Kernels and Data Movement
9 Communication and Synchronization
10 Defining Kernels
11 Vectors
12 Device Information
13 Practical Tips
14 Common Parallel Patterns
15 Programming for GPUs
16 Programming for CPUs
17 Programming for FPGAs
18 Libraries
19 Memory Model and Atomics

Cited on: Barrier, Data parallelism, GPU computing, SIMD

C++ Concurrency in Action¶

Anthony Williams · 2nd edition · Manning Publications · 2019
dedicated to concurrency · on the shelf · publisher ↗ · example code ↗

Chapters

1 Hello, world of concurrency in C++!
2 Managing threads
3 Sharing data between threads
4 Synchronizing concurrent operations
5 The C++ memory model and operations on atomic types
6 Designing lock-based concurrent data structures
7 Designing lock-free concurrent data structures
8 Designing concurrent code
9 Advanced thread management
10 Parallel algorithms
11 Testing and debugging multithreaded applications
Brief comparison of concurrency libraries
C A message-passing framework and complete ATM example
D C++ Thread Library reference

Cited on: Atomic variable, Concurrency, Concurrent data structures, Data parallelism, Debugging concurrent programs, Future and promise, Lock-free, Oversubscription, Parallel algorithms, Profiling concurrent programs, Shared memory, Thread, Thread pool and executor, Timeout, Weak memory models and reordering

Concurrency with Modern C++¶

Rainer Grimm · Leanpub version of 2019-03-19 edition · Leanpub (self-published) · 2019
dedicated to concurrency · on the shelf · publisher ↗

Chapters

1 Concurrency with Modern C++
2 Memory Model
3 Multithreading
4 Parallel Algorithms of the Standard Template Library
5 Case Studies
6 The Future: C++20/23
7 Patterns and Best Practices
8 Synchronisation Patterns
9 Concurrent Architecture
10 Best Practices
11 Lock-Based Data Structures
12 Lock-Free Data Structures
13 Challenges
14 The Time Library
15 CppMem - An Overview

Cited on: ABA problem, Barrier, Concurrent data structures, Condition variable, Coroutine, Data race, Deadlock, False sharing, Join, Latch, Monitor, Parallel algorithms, Race condition, Task (async), Thread safety, Thread-local storage, Transactional memory

Pro TBB: C++ Parallel Programming with Threading Building Blocks¶

Michael Voss, Rafael Asenjo, James Reinders · 1st edition · Apress · 2019
dedicated to concurrency · on the shelf · publisher ↗ · example code ↗

Chapters

1 Jumping Right In: “Hello, TBB!”
2 Generic Parallel Algorithms
3 Flow Graphs
4 TBB and the Parallel Algorithms of the C++ Standard Template Library
5 Synchronization: Why and How to Avoid It
6 Data Structures for Concurrency
7 Scalable Memory Allocation
8 Mapping Parallel Patterns to TBB
9 The Pillars of Composability
10 Using Tasks to Create Your Own Algorithms
11 Controlling the Number of Threads Used for Execution
12 Using Work Isolation for Correctness and Performance
13 Creating Thread-to-Core and Task-to-Thread Affinity
14 Using Task Priorities
15 Cancellation and Exception Handling
16 Tuning TBB Algorithms: Granularity, Locality, Parallelism, and Determinism
17 Flow Graphs: Beyond the Basics
18 Beef Up Flow Graphs with Async Nodes
19 Flow Graphs on Steroids: OpenCL Nodes
20 TBB on NUMA Architectures

Cited on: Cancellation, Cooperative scheduling, Dataflow programming, Fork-join, GPU computing, Granularity, NUMA, Oversubscription, Parallel algorithms, Pipeline, Preemptive scheduling, Scheduler, SIMD, Task parallelism, Thread confinement

C++ Reactive Programming: Design concurrent and asynchronous applications using the RxCpp library and Modern C++17¶

Praseed Pai, Peter Abraham · 1st edition · Packt Publishing · 2018
dedicated to concurrency · on the shelf · example code ↗

Chapters

1 Reactive Programming Model – Overview and History
2 A Tour of Modern C++ and its Key Idioms
3 Language-Level Concurrency and Parallelism in C++
4 Asynchronous and Lock-Free Programming in C++
5 Introduction to Observables
6 Introduction to Event Stream Programming Using C++
7 Introduction to Data Flow Computation and the RxCpp Library
8 RxCpp – the Key Elements
9 Reactive GUI Programming Using Qt/C++
10 Creating Custom Operators in RxCpp
11 Design Patterns and Idioms for C++ Rx Programming
12 Reactive Microservices Using C++
13 Advanced Streams and Handling Errors

Cited on: Async stream, Event-driven programming, Publish-subscribe and broadcast, Reactive programming, Task (async), UI thread

Mastering C++ Multithreading: Write robust, concurrent, and parallel applications¶

Maya Posch · 1st edition · Packt Publishing · 2017
dedicated to concurrency · on the shelf · example code ↗

Chapters

1 Revisiting Multithreading
2 Multithreading Implementation on the Processor and OS
3 C++ Multithreading APIs
4 Thread Synchronization and Communication
5 Native C++ Threads and Primitives
6 Debugging Multithreaded Code
7 Best Practices
8 Atomic Operations - Working with the Hardware
9 Multithreading with Distributed Computing
10 Multithreading with GPGPU

Cited on: Data race, Debugging concurrent programs, GPU computing, MPI, Mutual exclusion, Process

Parallel Programming with Intel Parallel Studio XE¶

Stephen Blair-Chappell, Andrew Stokes · 1st edition · John Wiley & Sons (Wrox) · 2012
dedicated to concurrency · on the shelf · publisher ↗

Chapters

1 Parallelism Today
2 An Overview of Parallel Studio XE
3 Parallel Studio XE for the Impatient
4 Producing Optimized Code
5 Writing Secure Code
6 Where to Parallelize
7 Implementing Parallelism
8 Checking for Errors
9 Tuning Parallel Applications
10 Parallel Advisor–Driven Design
11 Debugging Parallel Applications
12 Event-Based Analysis with VTune Amplifier XE
13 The World’s First Sudoku “Thirty-Niner”
14 Nine Tips to Parallel-Programming Heaven
15 Parallel Track Fitting in the CERN Collider
16 Parallelizing Legacy Code

Cited on: Data race, OpenMP, Parallelism, SIMD

Multi-Threaded Programming in C++¶

Mark Walmsley · 1st edition · Springer-Verlag London · 2000
dedicated to concurrency · on the shelf · publisher ↗

Chapters

1 Introduction
2 Threads
3 Mutexes
4 Events
5 Semaphores
6 Objects
7 Keys
8 Multiple Mutexes
9 Multiple Events
10 Distributed Computing

Cited on: Channel, Lock ordering, Multiprocessing, Mutex, Reentrant lock, Run-once initialization, Semaphore, Sequential execution, Thread-local storage

Programming with C++20: Concepts, Coroutines, Ranges, and more¶

Andreas Fertig · 1st edition · Fertig Publications · 2021
a concurrency chapter in a broader book · on the shelf · publisher ↗ · example code ↗

The concurrency chapters

2 Coroutines: Suspending functions

Cited on: Suspension point