nach der Bestellung gedruckt Neuware - Printed after ordering - Learn the fundamentals of x86 Single instruction multiple data (SIMD) programming using C++ intrinsic functions and x86-64 assembly language. This book emphasizes x86 SIMD programming topics and technologies that are relevant to modern software development in applications which can exploit data level parallelism, important for the processing of big data, large batches of data and related important in data science and much more.Modern Parallel Programming with C++ and Assembly Language is an instructional text that explains x86 SIMD programming using both C++ and assembly language. The book's content and organization are designed to help you quickly understand and exploit the SIMD capabilities of x86 processors. It also contains an abundance of source code that is structured to accelerate learning and comprehension of essential SIMD programming concepts and algorithms.After reading this book, you will be able to code performance-optimized AVX, AVX2, andAVX-512 algorithms using either C++ intrinsic functions or x86-64 assembly language.What You Will LearnUnderstand the essential details about x86 SIMD architectures and instruction sets including AVX, AVX2, and AVX-512.Master x86 SIMD data types, arithmetic instructions, and data management operations using both integer and floating-point operands.Code performance-enhancing functions and algorithms that fully exploit the SIMD capabilities of a modern x86 processor.Employ C++ intrinsic functions and x86-64 assembly language code to carry out arithmetic calculations using common programming constructs including arrays, matrices, and user-defined data structures.Harness the x86 SIMD instruction sets to significantly accelerate the performance of computationally intense algorithms in applications such as machine learning, image processing, computer graphics, statistics, and matrix arithmetic.Apply leading-edge coding strategies and techniques to optimally exploit the x86 SIMD instruction sets for maximum possible performance.Who This Book Is ForIntermediate to advanced programmers/developers in general. Readers of this book should have previous programming experience with modern C++ (i.e., ANSI C++11 or later) and Assembly. Some familiarity with Microsoft's Visual Studio or the GNU toolchain will be helpful. The target audience for Modern X86 SIMD Programming are experienced software developers, programmers and maybe some hobbyists.

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Detalles bibliogr�ficos

T�tulo: Modern Parallel Programming with C++ and Assembly Language : X86 Simd Development Using Avx, Avx2, and Avx-512
Editor: Apress
Fecha de publicaci�n: 2022
Idioma: Ingl�s
ISBN 10: 1484279174
ISBN 13: 9781484279175
Encuadernaci�n: Taschenbuch
Estado: Neu

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Sinopsis

Learn the fundamentals of x86 Single instruction multiple data (SIMD) programming using C++ intrinsic functions and x86-64 assembly language. This book emphasizes x86 SIMD programming topics and technologies that are relevant to modern software development in applications which can exploit data level parallelism, important for the processing of big data, large batches of data and related important in data science and much more.

Modern Parallel Programming with C++ and Assembly Language is an instructional text that explains x86 SIMD programming using both C++ and assembly language. The book’s content and organization are designed to help you quickly understand and exploit the SIMD capabilities of x86 processors. It also contains an abundance of source code that is structured to accelerate learning and comprehension of essential SIMD programming concepts and algorithms.

After reading this book, you will be able to code performance-optimized AVX, AVX2, andAVX-512 algorithms using either C++ intrinsic functions or x86-64 assembly language.

What You Will Learn

Understand the essential details about x86 SIMD architectures and instruction sets including AVX, AVX2, and AVX-512.
Master x86 SIMD data types, arithmetic instructions, and data management operations using both integer and floating-point operands.
Code performance-enhancing functions and algorithms that fully exploit the SIMD capabilities of a modern x86 processor.
Employ C++ intrinsic functions and x86-64 assembly language code to carry out arithmetic calculations using common programming constructs including arrays, matrices, and user-defined data structures.
Harness the x86 SIMD instruction sets to significantly accelerate the performance of computationally intense algorithms in applications such as machine learning, image processing, computer graphics, statistics, and matrix arithmetic.
Apply leading-edge coding strategies and techniques to optimally exploit the x86 SIMD instruction sets for maximum possible performance.

Who This Book Is For

Intermediate to advanced programmers/developers in general. Readers of this book should have previous programming experience with modern C++ (i.e., ANSI C++11 or later) and Assembly. Some familiarity with Microsoft’s Visual Studio or the GNU toolchain will be helpful. The target audience for Modern X86 SIMD Programming are experienced software developers, programmers and maybe some hobbyists.

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Daniel Kusswurm has over 35 years of professional experience as a software developer, computer scientist, and author. During his career, he has developed innovative software for medical devices, scientific instruments, and image processing applications. On many of these projects, he successfully employed C++ intrinsic functions, x86 assembly language, and SIMD programming techniques to significantly improve the performance of computationally intense algorithms or solve unique programming challenges. His educational background includes a BS in electrical engineering technology from Northern Illinois University along with an MS and PhD in computer science from DePaul University. Daniel Kusswurm is also the author of Modern X86 Assembly Language Programming (ISBN: 978-1484200650), Modern X86 Assembly Language Programming, Second Edition (ISBN: 978-1484240625), and Modern Arm Assembly Language Programming (ISBN: 978 1484262665), all published by Apress.

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