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Parallel programming (Computer science)

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Parallel programming (Computer science)

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"A programming activity book for young readers about parallel computing with If/Then exercises"--

Parallel programming (Computer science) --- Conditionals (Logic)

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A comprehensive guide to help aspiring and professional C++ developers elevate the performance of their apps by allowing them to run faster and consume fewer resources.Purchase of the print or Kindle book includes a free eBook in PDF format.Key Features* Updated to C++20 with completely revised code and more content on error handling, benchmarking, memory allocators, and concurrent programming* Explore the latest C++20 features including concepts, ranges, and coroutines* Utilize C++ constructs and techniques to carry out effective data structure optimization and memory managementBook DescriptionC++ High Performance, Second Edition guides you through optimizing the performance of your C++ apps. This allows them to run faster and consume fewer resources on the device they're running on without compromising the readability of your codebase. The book begins by introducing the C++ language and some of its modern concepts in brief. Once you are familiar with the fundamentals, you will be ready to measure, identify, and eradicate bottlenecks in your C++ codebase. By following this process, you will gradually improve your style of writing code. The book then explores data structure optimization, memory management, and how it can be used efficiently concerning CPU caches. After laying the foundation, the book trains you to leverage algorithms, ranges, and containers from the standard library to achieve faster execution, write readable code, and use customized iterators. It provides hands-on examples of C++ metaprogramming, coroutines, reflection to reduce boilerplate code, proxy objects to perform optimizations under the hood, concurrent programming, and lock-free data structures. The book concludes with an overview of parallel algorithms. By the end of this book, you will have the ability to use every tool as needed to boost the efficiency of your C++ projects.What you will learn* Write specialized data structures for performance-critical code* Use modern metaprogramming techniques to reduce runtime calculations* Achieve efficient memory management using custom memory allocators* Reduce boilerplate code using reflection techniques* Reap the benefits of lock-free concurrent programming* Gain insights into subtle optimizations used by standard library algorithms* Compose algorithms using ranges library* Develop the ability to apply metaprogramming aspects such as constexpr, constraints, and concepts* Implement lazy generators and asynchronous tasks using C++20 coroutinesWho this book is forIf you're a C++ developer looking to improve the efficiency of your code or just keen to upgrade your skills to the next level, this book is for you.

Parallel Programming (Computer Science) --- Computer Algorithms --- C Plus Plus (Computer Program Language) --- Computers --- Parallel programming (computer science) --- Computer algorithms --- C plus plus (computer program language) --- C++ (Computer program language)

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The two-volume set LNCS 12043 and 12044 constitutes revised selected papers from the 13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019, held in Bialystok, Poland, in September 2019. The 91 regular papers presented in these volumes were selected from 161 submissions. For regular tracks of the conference, 41 papers were selected from 89 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; emerging HPC architectures; performance analysis and scheduling in HPC systems; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; parallel non-numerical algorithms; soft computing with applications; special session on GPU computing; special session on parallel matrix factorizations. Part II: workshop on language-based parallel programming models (WLPP 2019); workshop on models algorithms and methodologies for hybrid parallelism in new HPC systems; workshop on power and energy aspects of computations (PEAC 2019); special session on tools for energy efficient computing; workshop on scheduling for parallel computing (SPC 2019); workshop on applied high performance numerical algorithms for PDEs; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems. Chapters "Parallel adaptive cross approximation for the multi-trace formulation of scattering problems" and "A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes" of LNCS 12043 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.

Software engineering. --- Computer organization. --- Computer science—Mathematics. --- Operating systems (Computers). --- Computers. --- Software Engineering. --- Computer Systems Organization and Communication Networks. --- Mathematics of Computing. --- Operating Systems. --- Information Systems and Communication Service. --- Automatic computers --- Automatic data processors --- Computer hardware --- Computing machines (Computers) --- Electronic brains --- Electronic calculating-machines --- Electronic computers --- Hardware, Computer --- Computer systems --- Cybernetics --- Machine theory --- Calculators --- Cyberspace --- Computer operating systems --- Computers --- Disk operating systems --- Systems software --- Organization, Computer --- Electronic digital computers --- Computer software engineering --- Engineering --- Operating systems --- Mathematics. --- Parallel processing (Electronic computers) --- High performance computing --- Multiprocessors --- Parallel programming (Computer science) --- Supercomputers --- Math --- Science --- Computer engineering. --- Computer networks. --- Database management. --- Computer Engineering and Networks. --- Database Management System. --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- Communication systems, Computer --- Computer communication systems --- Data networks, Computer --- ECNs (Electronic communication networks) --- Electronic communication networks --- Networks, Computer --- Teleprocessing networks --- Data transmission systems --- Digital communications --- Electronic systems --- Information networks --- Telecommunication --- Cyberinfrastructure --- Network computers --- Distributed processing --- Design and construction