E-Books →Mastering C++ For Concurrency And Parallel Programming

Key FeaturesEssential C++ for Concurrent and Parallel Programming: Foundations and best practicesThreads and Synchronization: Managing threads, mutexes, locks, and condition variablesTasks and Futures: Asynchronous programming with std::async and std::futureThe Standard Template Library (STL) for Parallelism: Utilizing parallel algorithms and containersLock-Free Data Structures: Designing and implementing concurrent data structuresAsynchronous Programming Patterns: Mastering callbacks, coroutines, and continuationsGPU Programming with CUDA/OpenCL: Leveraging GPU acceleration for parallel computingDistributed Computing and Message Passing: Scaling parallel programs across multiple nodesWhat You'll LearnUnderstand the fundamentals of concurrency and parallelism in C++Master thread management, synchronization, and communicationApply parallel algorithms and data structures using STLImplement lock-free data structures and asynchronous programming patternsHarness GPU acceleration with CUDA and OpenCLScale parallel programs using distributed computing and message passingOptimize performance, scalability, and reliabilityWho This Book Is ForExperienced C++ developers seeking to master concurrency and parallelismSoftware engineers and architects designing high-performance systemsResearchers and students in parallel computing and distributed systemsDevelopers transitioning from sequential to parallel programmingTable of ContentsIntroduction to Concurrency and ParallelismEssential C++ for Concurrent and Parallel ProgrammingThreads and SynchronizationTasks and FuturesThe Standard Template Library (STL) for ParallelismLock-Free Data StructuresAsynchronous Programming PatternsGPU Programming with CUDA/OpenCLDistributed Computing and Message PassingConclusion
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Master the art of concurrent and parallel programming with C++ and take your software development skills to the next level.
Target Audience:Experienced C++ developersSoftware engineers and architectsResearchers and studentsDevelopers transitioning to parallel programmingPrerequisites:Basic knowledge of C++ programmingFamiliarity with computer architecture and operating systemsTools and Technologies:C++11/C++14/C++17STL (Standard Template Library)CUDA/OpenCLDistributed computing frameworks (e.g., MPI).