ISBN: 9781484296905 - data parallel c++: programming accelerated systems using c++ and sycl (25 risultati)

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Paperback. Condizione: New. Second Edition. "This book, now in is second edition, is the premier resource to learn SYCL 2020 and is the ONLY book you need to become part of this community." Erik Lindahl, GROMACS and Stockholm UniversityLearn how to accelerate C++ programs using data parallelism and SYCL.This open access book enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels. This updated second edition is full of practical advice, detailed explanations, and code examples to illustrate key topics. SYCL enables access to parallel resources in modern accelerated heterogeneous systems. Now, a single C++ application can use any combination of devices-including GPUs, CPUs, FPGAs, and ASICs-that are suitable to the problems at hand.This book teaches data-parallel programming using C++ with SYCL and walks through everything needed to program accelerated systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL. Later chapters cover advanced topics, including error handling, hardware-specific programming, communication and synchronization, and memory model considerations.All source code for the examples used in this book is freely available on GitHub. The examples are written in modern SYCL and are regularly updated to ensure compatibility with multiple compilers. What You Will Learn Accelerate C++ programs using data-parallel programmingUse SYCL and C++ compilers that support SYCLWrite portable code for accelerators that is vendor and device agnosticOptimize code to improve performance for specific acceleratorsBe poised to benefit as new accelerators appear from many vendorsWho This Book Is For New data-parallel programming and computer programmers interested in data-parallel programming using C++This is an open access book.…

Paperback. Condizione: New. Second Edition. "This book, now in is second edition, is the premier resource to learn SYCL 2020 and is the ONLY book you need to become part of this community." Erik Lindahl, GROMACS and Stockholm UniversityLearn how to accelerate C++ programs using data parallelism and SYCL.This open access book enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels. This updated second edition is full of practical advice, detailed explanations, and code examples to illustrate key topics. SYCL enables access to parallel resources in modern accelerated heterogeneous systems. Now, a single C++ application can use any combination of devices-including GPUs, CPUs, FPGAs, and ASICs-that are suitable to the problems at hand.This book teaches data-parallel programming using C++ with SYCL and walks through everything needed to program accelerated systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL. Later chapters cover advanced topics, including error handling, hardware-specific programming, communication and synchronization, and memory model considerations.All source code for the examples used in this book is freely available on GitHub. The examples are written in modern SYCL and are regularly updated to ensure compatibility with multiple compilers. What You Will Learn Accelerate C++ programs using data-parallel programmingUse SYCL and C++ compilers that support SYCLWrite portable code for accelerators that is vendor and device agnosticOptimize code to improve performance for specific acceleratorsBe poised to benefit as new accelerators appear from many vendorsWho This Book Is For New data-parallel programming and computer programmers interested in data-parallel programming using C++This is an open access book.…

Condizione: New. 2023. 2nd Edition. paperback. . . . . .

Condizione: New.

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Paperback. Condizione: Brand New. 2nd edition. 660 pages. 9.25x6.10x1.33 inches. In Stock.

Taschenbuch. Condizione: Neu. Neuware -'This book, now in is second edition, is the premier resource to learn SYCL 2020 and is the ONLY book you need to become part of this community.' Erik Lindahl, GROMACS and Stockholm UniversityLearn how to accelerate C++ programs using data parallelism and SYCL.This open access book enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels. This updated second edition is full of practical advice, detailed explanations, and code examples to illustrate key topics. SYCL enables access to parallel resources in modern accelerated heterogeneous systems. Now, a single C++ application can use any combination of devices-including GPUs, CPUs, FPGAs, and ASICs-that are suitable to the problems at hand.This book teaches data-parallel programming using C++ with SYCL and walks through everything needed to program accelerated systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL. Later chapters cover advanced topics, including error handling, hardware-specific programming, communication and synchronization, and memory model considerations.All source code for the examples used in this book is freely available on GitHub. The examples are written in modern SYCL and are regularly updated to ensure compatibility with multiple compilers. What You Will Learn Accelerate C++ programs using data-parallel programmingUse SYCL and C++ compilers that support SYCLWrite portable code for accelerators that is vendor and device agnosticOptimize code to improve performance for specific acceleratorsBe poised to benefit as new accelerators appear from many vendorsWho This Book Is For New data-parallel programming and computer programmers interested in data-parallel programming using C++This is an open access book. 660 pp. Englisch.…

Condizione: New. In English.

Paperback. Condizione: New. Second Edition. "This book, now in is second edition, is the premier resource to learn SYCL 2020 and is the ONLY book you need to become part of this community." Erik Lindahl, GROMACS and Stockholm UniversityLearn how to accelerate C++ programs using data parallelism and SYCL.This open access book enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels. This updated second edition is full of practical advice, detailed explanations, and code examples to illustrate key topics. SYCL enables access to parallel resources in modern accelerated heterogeneous systems. Now, a single C++ application can use any combination of devices-including GPUs, CPUs, FPGAs, and ASICs-that are suitable to the problems at hand.This book teaches data-parallel programming using C++ with SYCL and walks through everything needed to program accelerated systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL. Later chapters cover advanced topics, including error handling, hardware-specific programming, communication and synchronization, and memory model considerations.All source code for the examples used in this book is freely available on GitHub. The examples are written in modern SYCL and are regularly updated to ensure compatibility with multiple compilers. What You Will Learn Accelerate C++ programs using data-parallel programmingUse SYCL and C++ compilers that support SYCLWrite portable code for accelerators that is vendor and device agnosticOptimize code to improve performance for specific acceleratorsBe poised to benefit as new accelerators appear from many vendorsWho This Book Is For New data-parallel programming and computer programmers interested in data-parallel programming using C++This is an open access book.…

Condizione: New.

Taschenbuch. Condizione: Neu. Data Parallel C++ | Programming Accelerated Systems Using C++ and SYCL | James Reinders (u. a.) | Taschenbuch | xxx | Englisch | 2023 | Apress | EAN 9781484296905 | Verantwortliche Person für die EU: APress in Springer Science + Business Media, Heidelberger Platz 3, 14197 Berlin, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu. …

Paperback. Condizione: New. Second Edition. "This book, now in is second edition, is the premier resource to learn SYCL 2020 and is the ONLY book you need to become part of this community." Erik Lindahl, GROMACS and Stockholm UniversityLearn how to accelerate C++ programs using data parallelism and SYCL.This open access book enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels. This updated second edition is full of practical advice, detailed explanations, and code examples to illustrate key topics. SYCL enables access to parallel resources in modern accelerated heterogeneous systems. Now, a single C++ application can use any combination of devices-including GPUs, CPUs, FPGAs, and ASICs-that are suitable to the problems at hand.This book teaches data-parallel programming using C++ with SYCL and walks through everything needed to program accelerated systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL. Later chapters cover advanced topics, including error handling, hardware-specific programming, communication and synchronization, and memory model considerations.All source code for the examples used in this book is freely available on GitHub. The examples are written in modern SYCL and are regularly updated to ensure compatibility with multiple compilers. What You Will Learn Accelerate C++ programs using data-parallel programmingUse SYCL and C++ compilers that support SYCLWrite portable code for accelerators that is vendor and device agnosticOptimize code to improve performance for specific acceleratorsBe poised to benefit as new accelerators appear from many vendorsWho This Book Is For New data-parallel programming and computer programmers interested in data-parallel programming using C++This is an open access book.…

Condizione: new. Questo è un articolo print on demand.

Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Intermediate-Advanced user level|Teaches heterogenous programming for CPU, GPU, FPGA, ASIC, etc.Presents a vision for the future of parallel programming support in C++Shows you how to program with industrial strength implementations of SYC.…

Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 'This book, now in is second edition, is the premier resource to learn SYCL 2020 and is the ONLY book you need to become part of this community.' Erik Lindahl, GROMACS and Stockholm UniversityLearn how to accelerate C++ programs using data parallelism and SYCL.This open access book enables C++ programmers to be at the forefront of this exciting and important development that is helping to push computing to new levels. This updated second edition is full of practical advice, detailed explanations, and code examples to illustrate key topics. SYCL enables access to parallel resources in modern accelerated heterogeneous systems. Now, a single C++ application can use any combination of devices-including GPUs, CPUs, FPGAs, and ASICs-that are suitable to the problems at hand.This book teaches data-parallel programming using C++ with SYCL and walks through everything needed to program accelerated systems. The book begins by introducing data parallelism and foundational topics for effective use of SYCL. Later chapters cover advanced topics, including error handling, hardware-specific programming, communication and synchronization, and memory model considerations.All source code for the examples used in this book is freely available on GitHub. The examples are written in modern SYCL and are regularly updated to ensure compatibility with multiple compilers. What You Will Learn Accelerate C++ programs using data-parallel programmingUse SYCL and C++ compilers that support SYCLWrite portable code for accelerators that is vendor and device agnosticOptimize code to improve performance for specific acceleratorsBe poised to benefit as new accelerators appear from many vendorsWho This Book Is For New data-parallel programming and computer programmers interested in data-parallel programming using C++This is an open access book.…

Condizione: New. Print on Demand.

Condizione: New. PRINT ON DEMAND.

Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Chapter 1: Introduction.- Chapter 2: Where Code Executes.- Chapter 3: Data Management and Ordering the Uses of Data.- Chapter 4: Expressing Parallelism.- Chapter 5: Error Handling.- Chapter 6: Unified Shared Memory.- Chapter 7: Buffers.- Chapter 8: Scheduling Kernels and Data Movement.- Chapter 9: Local Memory and Work-group Barriers.- Chapter 10: Defining Kernels.- Chapter 11: Vector and Math Arrays.- Chapter 12: Device Information and Kernel Specialization.- Chapter 13: Practical Tips.- Chapter 14: Common Parallel Patterns.- Chapter 15: Programming for GPUs.- Chapter 16: Programming for CPUs.- Chapter 17: Programming for FFGAs.- Chapter 18: Libraries.- Chapter 19: Memory Model and Atomics.- Chapter 20: Backend Interoperability.- Chapter 21: Migrating CUDA Code.- Epilogue.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 660 pp. Englisch.…