High Performance Parallelism Pearls Volume Two

High Performance Parallelism Pearls Volume Two
Author: Jim Jeffers,James Reinders
Publsiher: Morgan Kaufmann
Total Pages: 592
Release: 2015-07-28
ISBN 10: 012803890X
ISBN 13: 9780128038901
Language: EN, FR, DE, ES & NL

High Performance Parallelism Pearls Volume Two Book Review:

High Performance Parallelism Pearls Volume 2 offers another set of examples that demonstrate how to leverage parallelism. Similar to Volume 1, the techniques included here explain how to use processors and coprocessors with the same programming – illustrating the most effective ways to combine Xeon Phi coprocessors with Xeon and other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as biomed, genetics, finance, manufacturing, imaging, and more. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of Xeon-powered systems, but also how to leverage parallelism across these heterogeneous systems. Promotes write-once, run-anywhere coding, showing how to code for high performance on multicore processors and Xeon Phi Examples from multiple vertical domains illustrating real-world use of Xeon Phi coprocessors Source code available for download to facilitate further exploration

High Performance Parallelism Pearls Volume Two

High Performance Parallelism Pearls Volume Two
Author: Jim Jeffers,James Reinders
Publsiher: Morgan Kaufmann Publishers
Total Pages: 592
Release: 2015-07-23
ISBN 10: 9780128038192
ISBN 13: 0128038195
Language: EN, FR, DE, ES & NL

High Performance Parallelism Pearls Volume Two Book Review:

High Performance Parallelism Pearls Volume 2 offers another set of examples that demonstrate how to leverage parallelism. Similar to Volume 1, the techniques included here explain how to use processors and coprocessors with the same programming - illustrating the most effective ways to combine Xeon Phi coprocessors with Xeon and other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as biomed, genetics, finance, manufacturing, imaging, and more. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of Xeon-powered systems, but also how to leverage parallelism across these heterogeneous systems. Promotes write-once, run-anywhere coding, showing how to code for high performance on multicore processors and Xeon Phi Examples from multiple vertical domains illustrating real-world use of Xeon Phi coprocessors Source code available for download to facilitate further exploration

High Performance Parallelism Pearls Volume One

High Performance Parallelism Pearls Volume One
Author: James Reinders,James Jeffers
Publsiher: Unknown
Total Pages: 600
Release: 2014
ISBN 10:
ISBN 13: OCLC:1105766382
Language: EN, FR, DE, ES & NL

High Performance Parallelism Pearls Volume One Book Review:

High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming - illustrating the most effective ways to better tap the computational potential of systems with Intel Xeon Phi coprocessors and Intel Xeon processors or other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as chemistry, engineering, and environmental science. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of these powerful systems, but also how to leverage parallelism across these heterogeneous systems. Promotes consistent standards-based programming, showing in detail how to code for high performance on multicore processors and Intel® Xeon Phi Examples from multiple vertical domains illustrating parallel optimizations to modernize real-world codes Source code available for download to facilitate further exploration.

High Performance Parallelism Pearls Volume Two

High Performance Parallelism Pearls Volume Two
Author: Jim Jeffers,James Reinders
Publsiher: Unknown
Total Pages: 592
Release: 2015
ISBN 10:
ISBN 13: OCLC:1105789312
Language: EN, FR, DE, ES & NL

High Performance Parallelism Pearls Volume Two Book Review:

High Performance Parallelism Pearls Volume 2 offers another set of examples that demonstrate how to leverage parallelism. Similar to Volume 1, the techniques included here explain how to use processors and coprocessors with the same programming - illustrating the most effective ways to combine Xeon Phi coprocessors with Xeon and other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as biomed, genetics, finance, manufacturing, imaging, and more. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of Xeon-powered systems, but also how to leverage parallelism across these heterogeneous systems. Promotes write-once, run-anywhere coding, showing how to code for high performance on multicore processors and Xeon Phi Examples from multiple vertical domains illustrating real-world use of Xeon Phi coprocessors Source code available for download to facilitate further exploration.

High Performance Parallelism Pearls Multicore and Many core Programming Approaches

High Performance Parallelism Pearls  Multicore and Many core Programming Approaches
Author: Anonim
Publsiher: Unknown
Total Pages: 329
Release: 2021
ISBN 10:
ISBN 13: OCLC:972006475
Language: EN, FR, DE, ES & NL

High Performance Parallelism Pearls Multicore and Many core Programming Approaches Book Review:

High Performance Parallelism Pearls Volume One

High Performance Parallelism Pearls Volume One
Author: James Reinders,James Jeffers
Publsiher: Morgan Kaufmann
Total Pages: 600
Release: 2014-11-17
ISBN 10: 9780128021187
ISBN 13: 0128021187
Language: EN, FR, DE, ES & NL

High Performance Parallelism Pearls Volume One Book Review:

High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming - illustrating the most effective ways to better tap the computational potential of systems with Intel Xeon Phi coprocessors and Intel Xeon processors or other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as chemistry, engineering, and environmental science. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of these powerful systems, but also how to leverage parallelism across these heterogeneous systems. Promotes consistent standards-based programming, showing in detail how to code for high performance on multicore processors and Intel® Xeon PhiT Examples from multiple vertical domains illustrating parallel optimizations to modernize real-world codes Source code available for download to facilitate further exploration

High Performance Parallelism Pearls Volume One

High Performance Parallelism Pearls Volume One
Author: James Reinders,James Jeffers
Publsiher: Morgan Kaufmann
Total Pages: 600
Release: 2014-11-04
ISBN 10: 0128021993
ISBN 13: 9780128021996
Language: EN, FR, DE, ES & NL

High Performance Parallelism Pearls Volume One Book Review:

High Performance Parallelism Pearls shows how to leverage parallelism on processors and coprocessors with the same programming – illustrating the most effective ways to better tap the computational potential of systems with Intel Xeon Phi coprocessors and Intel Xeon processors or other multicore processors. The book includes examples of successful programming efforts, drawn from across industries and domains such as chemistry, engineering, and environmental science. Each chapter in this edited work includes detailed explanations of the programming techniques used, while showing high performance results on both Intel Xeon Phi coprocessors and multicore processors. Learn from dozens of new examples and case studies illustrating "success stories" demonstrating not just the features of these powerful systems, but also how to leverage parallelism across these heterogeneous systems. Promotes consistent standards-based programming, showing in detail how to code for high performance on multicore processors and Intel® Xeon PhiTM Examples from multiple vertical domains illustrating parallel optimizations to modernize real-world codes Source code available for download to facilitate further exploration

Intel Xeon Phi Coprocessor High Performance Programming

Intel Xeon Phi Coprocessor High Performance Programming
Author: James Jeffers,James Reinders
Publsiher: Newnes
Total Pages: 432
Release: 2013-02-11
ISBN 10: 0124104940
ISBN 13: 9780124104945
Language: EN, FR, DE, ES & NL

Intel Xeon Phi Coprocessor High Performance Programming Book Review:

Authors Jim Jeffers and James Reinders spent two years helping educate customers about the prototype and pre-production hardware before Intel introduced the first Intel Xeon Phi coprocessor. They have distilled their own experiences coupled with insights from many expert customers, Intel Field Engineers, Application Engineers and Technical Consulting Engineers, to create this authoritative first book on the essentials of programming for this new architecture and these new products. This book is useful even before you ever touch a system with an Intel Xeon Phi coprocessor. To ensure that your applications run at maximum efficiency, the authors emphasize key techniques for programming any modern parallel computing system whether based on Intel Xeon processors, Intel Xeon Phi coprocessors, or other high performance microprocessors. Applying these techniques will generally increase your program performance on any system, and better prepare you for Intel Xeon Phi coprocessors and the Intel MIC architecture. A practical guide to the essentials of the Intel Xeon Phi coprocessor Presents best practices for portable, high-performance computing and a familiar and proven threaded, scalar-vector programming model Includes simple but informative code examples that explain the unique aspects of this new highly parallel and high performance computational product Covers wide vectors, many cores, many threads and high bandwidth cache/memory architecture

Intel Xeon Phi Processor High Performance Programming

Intel Xeon Phi Processor High Performance Programming
Author: James Jeffers,James Reinders,Avinash Sodani
Publsiher: Morgan Kaufmann
Total Pages: 662
Release: 2016-05-31
ISBN 10: 0128091959
ISBN 13: 9780128091951
Language: EN, FR, DE, ES & NL

Intel Xeon Phi Processor High Performance Programming Book Review:

This book is an all-in-one source of information for programming the Second-Generation Intel Xeon Phi product family also called Knights Landing. The authors provide detailed and timely Knights Landingspecific details, programming advice, and real-world examples. The authors distill their years of Xeon Phi programming experience coupled with insights from many expert customers — Intel Field Engineers, Application Engineers, and Technical Consulting Engineers — to create this authoritative book on the essentials of programming for Intel Xeon Phi products. Intel® Xeon PhiTM Processor High-Performance Programming is useful even before you ever program a system with an Intel Xeon Phi processor. To help ensure that your applications run at maximum efficiency, the authors emphasize key techniques for programming any modern parallel computing system whether based on Intel Xeon processors, Intel Xeon Phi processors, or other high-performance microprocessors. Applying these techniques will generally increase your program performance on any system and prepare you better for Intel Xeon Phi processors. A practical guide to the essentials for programming Intel Xeon Phi processors Definitive coverage of the Knights Landing architecture Presents best practices for portable, high-performance computing and a familiar and proven threads and vectors programming model Includes real world code examples that highlight usages of the unique aspects of this new highly parallel and high-performance computational product Covers use of MCDRAM, AVX-512, Intel® Omni-Path fabric, many-cores (up to 72), and many threads (4 per core) Covers software developer tools, libraries and programming models Covers using Knights Landing as a processor and a coprocessor

Structured Parallel Programming

Structured Parallel Programming
Author: Michael McCool,James Reinders,Arch Robison
Publsiher: Elsevier
Total Pages: 432
Release: 2012-07-31
ISBN 10: 0123914434
ISBN 13: 9780123914439
Language: EN, FR, DE, ES & NL

Structured Parallel Programming Book Review:

Structured Parallel Programming offers the simplest way for developers to learn patterns for high-performance parallel programming. Written by parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders, this book explains how to design and implement maintainable and efficient parallel algorithms using a composable, structured, scalable, and machine-independent approach to parallel computing. It presents both theory and practice, and provides detailed concrete examples using multiple programming models. The examples in this book are presented using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. Software developers, computer programmers, and software architects will find this book extremely helpful. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers

Parallel Programming for Modern High Performance Computing Systems

Parallel Programming for Modern High Performance Computing Systems
Author: Pawel Czarnul
Publsiher: CRC Press
Total Pages: 304
Release: 2018-03-05
ISBN 10: 1351385801
ISBN 13: 9781351385800
Language: EN, FR, DE, ES & NL

Parallel Programming for Modern High Performance Computing Systems Book Review:

In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms. It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment. The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs. Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs

High Performance Computing

High Performance Computing
Author: Julian M. Kunkel,Rio Yokota,Michela Taufer,John Shalf
Publsiher: Springer
Total Pages: 743
Release: 2017-10-18
ISBN 10: 331967630X
ISBN 13: 9783319676302
Language: EN, FR, DE, ES & NL

High Performance Computing Book Review:

This book constitutes revised selected papers from 10 workshops that were held as the ISC High Performance 2017 conference in Frankfurt, Germany, in June 2017. The 59 papers presented in this volume were carefully reviewed and selected for inclusion in this book. They stem from the following workshops: Workshop on Virtualization in High-Performance Cloud Computing (VHPC) Visualization at Scale: Deployment Case Studies and Experience Reports International Workshop on Performance Portable Programming Models for Accelerators (P^3MA) OpenPOWER for HPC (IWOPH) International Workshop on Data Reduction for Big Scientific Data (DRBSD) International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale Workshop on HPC Computing in a Post Moore's Law World (HCPM) HPC I/O in the Data Center ( HPC-IODC) Workshop on Performance and Scalability of Storage Systems (WOPSSS) IXPUG: Experiences on Intel Knights Landing at the One Year Mark International Workshop on Communication Architectures for HPC, Big Data, Deep Learning and Clouds at Extreme Scale (ExaComm)

Parallel Programming for Modern High Performance Computing Systems

Parallel Programming for Modern High Performance Computing Systems
Author: Pawel Czarnul
Publsiher: CRC Press
Total Pages: 304
Release: 2018-03-05
ISBN 10: 1351385798
ISBN 13: 9781351385794
Language: EN, FR, DE, ES & NL

Parallel Programming for Modern High Performance Computing Systems Book Review:

In view of the growing presence and popularity of multicore and manycore processors, accelerators, and coprocessors, as well as clusters using such computing devices, the development of efficient parallel applications has become a key challenge to be able to exploit the performance of such systems. This book covers the scope of parallel programming for modern high performance computing systems. It first discusses selected and popular state-of-the-art computing devices and systems available today, These include multicore CPUs, manycore (co)processors, such as Intel Xeon Phi, accelerators, such as GPUs, and clusters, as well as programming models supported on these platforms. It next introduces parallelization through important programming paradigms, such as master-slave, geometric Single Program Multiple Data (SPMD) and divide-and-conquer. The practical and useful elements of the most popular and important APIs for programming parallel HPC systems are discussed, including MPI, OpenMP, Pthreads, CUDA, OpenCL, and OpenACC. It also demonstrates, through selected code listings, how selected APIs can be used to implement important programming paradigms. Furthermore, it shows how the codes can be compiled and executed in a Linux environment. The book also presents hybrid codes that integrate selected APIs for potentially multi-level parallelization and utilization of heterogeneous resources, and it shows how to use modern elements of these APIs. Selected optimization techniques are also included, such as overlapping communication and computations implemented using various APIs. Features: Discusses the popular and currently available computing devices and cluster systems Includes typical paradigms used in parallel programs Explores popular APIs for programming parallel applications Provides code templates that can be used for implementation of paradigms Provides hybrid code examples allowing multi-level parallelization Covers the optimization of parallel programs

High Performance Computing for Computational Science VECPAR 2018

High Performance Computing for Computational Science     VECPAR 2018
Author: Hermes Senger,Osni Marques,Rogerio Garcia,Tatiana Pinheiro de Brito,Rogério Iope,Silvio Stanzani,Veronica Gil-Costa
Publsiher: Springer
Total Pages: 264
Release: 2019-03-25
ISBN 10: 3030159965
ISBN 13: 9783030159962
Language: EN, FR, DE, ES & NL

High Performance Computing for Computational Science VECPAR 2018 Book Review:

This book constitutes the thoroughly refereed post-conference proceedings of the 13th International Conference on High Performance Computing in Computational Science, VECPAR 2018, held in São Pedro, Brazil, in September 2018. The 17 full papers and one short paper included in this book were carefully reviewed and selected from 32 submissions presented at the conference. The papers cover the following topics: heterogeneous systems, shared memory systems and GPUs, and techniques including domain decomposition, scheduling and load balancing, with a strong focus on computational science applications.

High Performance Computing

High Performance Computing
Author: Esteban Mocskos,Sergio Nesmachnow
Publsiher: Springer
Total Pages: 432
Release: 2017-12-26
ISBN 10: 3319733532
ISBN 13: 9783319733531
Language: EN, FR, DE, ES & NL

High Performance Computing Book Review:

This book constitutes the proceedings of the 4th Latin American Conference on High Performance Computing, CARLA 2017, held in Buenos Aires, Argentina, and Colonia del Sacramento, Uruguay, in September 2017. The 29 papers presented in this volume were carefully reviewed and selected from 50 submissions. They are organized in topical sections named: HPC infrastructures and datacenters; HPC industry and education; GPU, multicores, accelerators; HPC applications and tools; big data and data management; parallel and distributed algorithms; Grid, cloud and federations.

John Zukowski s Definitive Guide to Swing for Java 2

John Zukowski   s Definitive Guide to Swing for Java 2
Author: John Zukowski
Publsiher: Apress
Total Pages: 863
Release: 2013-11-11
ISBN 10: 1430252510
ISBN 13: 9781430252511
Language: EN, FR, DE, ES & NL

John Zukowski s Definitive Guide to Swing for Java 2 Book Review:

All set to become the one-stop resource for serious Java developers, this is the first comprehensive book to be based on released versions of the Java 1.2 Swing Set. While thorough in its treatment of the Swing set, the book avoids covering the minutia that is of no interest to programmers. John Zukowski is one of the best known figures in the Java community, and one of the most popular columnists for JavaWorld Magazine. He provides significant content for JavaSofts own web site and was the principal author of the "official" on-line Swing tutorial.

Intel Threading Building Blocks

Intel Threading Building Blocks
Author: James Reinders
Publsiher: "O'Reilly Media, Inc."
Total Pages: 303
Release: 2007-10-02
ISBN 10: 0596514808
ISBN 13: 9780596514808
Language: EN, FR, DE, ES & NL

Intel Threading Building Blocks Book Review:

Book explains how to maximize the benefits of Intel's new dual-core and multi-core processors through a portable C++ library that works on Windows, Linux, Macintosh, and Unix systems.

Euro Par 2017 Parallel Processing

Euro Par 2017  Parallel Processing
Author: Francisco F. Rivera,Tomás F. Pena,José C. Cabaleiro
Publsiher: Springer
Total Pages: 725
Release: 2017-09-13
ISBN 10: 3319642030
ISBN 13: 9783319642031
Language: EN, FR, DE, ES & NL

Euro Par 2017 Parallel Processing Book Review:

This book constitutes the proceedings of the 23rd International Conference on Parallel and Distributed Computing, Euro-Par 2017, held in Santiago de Compostela, Spain, in August/September 2017. The 50 revised full papers presented together with 2 abstract of invited talks and 1 invited paper were carefully reviewed and selected from 176 submissions. The papers are organized in the following topical sections: support tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; high performance architectures and compilers; parallel and distributed data management and analytics; cluster and cloud computing; distributed systems and algorithms; parallel and distributed programming, interfaces and languages; multicore and manycore parallelism; theory and algorithms for parallel computation and networking; prallel numerical methods and applications; and accelerator computing.

The CUDA Handbook

The CUDA Handbook
Author: Nicholas Wilt
Publsiher: Addison-Wesley
Total Pages: 528
Release: 2013-06-11
ISBN 10: 0133261506
ISBN 13: 9780133261509
Language: EN, FR, DE, ES & NL

The CUDA Handbook Book Review:

The CUDA Handbook begins where CUDA by Example (Addison-Wesley, 2011) leaves off, discussing CUDA hardware and software in greater detail and covering both CUDA 5.0 and Kepler. Every CUDA developer, from the casual to the most sophisticated, will find something here of interest and immediate usefulness. Newer CUDA developers will see how the hardware processes commands and how the driver checks progress; more experienced CUDA developers will appreciate the expert coverage of topics such as the driver API and context migration, as well as the guidance on how best to structure CPU/GPU data interchange and synchronization. The accompanying open source code–more than 25,000 lines of it, freely available at www.cudahandbook.com–is specifically intended to be reused and repurposed by developers. Designed to be both a comprehensive reference and a practical cookbook, the text is divided into the following three parts: Part I, Overview, gives high-level descriptions of the hardware and software that make CUDA possible. Part II, Details, provides thorough descriptions of every aspect of CUDA, including Memory Streams and events Models of execution, including the dynamic parallelism feature, new with CUDA 5.0 and SM 3.5 The streaming multiprocessors, including descriptions of all features through SM 3.5 Programming multiple GPUs Texturing The source code accompanying Part II is presented as reusable microbenchmarks and microdemos, designed to expose specific hardware characteristics or highlight specific use cases. Part III, Select Applications, details specific families of CUDA applications and key parallel algorithms, including Streaming workloads Reduction Parallel prefix sum (Scan) N-body Image Processing These algorithms cover the full range of potential CUDA applications.

Data Parallel C

Data Parallel C
Author: James Reinders,Ben Ashbaugh,James Brodman,Michael Kinsner,John Pennycook,Xinmin Tian
Publsiher: Apress
Total Pages: 548
Release: 2020-11-19
ISBN 10: 9781484255735
ISBN 13: 1484255739
Language: EN, FR, DE, ES & NL

Data Parallel C Book Review:

Learn how to accelerate C++ programs using data parallelism. This open access book enables C++ programmers to be at the forefront of this exciting and important new development that is helping to push computing to new levels. It is full of practical advice, detailed explanations, and code examples to illustrate key topics. Data parallelism in C++ enables access to parallel resources in a modern heterogeneous system, freeing you from being locked into any particular computing device. Now a single C++ application can use any combination of devices—including GPUs, CPUs, FPGAs and AI ASICs—that are suitable to the problems at hand. This book begins by introducing data parallelism and foundational topics for effective use of the SYCL standard from the Khronos Group and Data Parallel C++ (DPC++), the open source compiler used in this book. Later chapters cover advanced topics including error handling, hardware-specific programming, communication and synchronization, and memory model considerations. Data Parallel C++ provides you with everything needed to use SYCL for programming heterogeneous systems. What You'll Learn Accelerate C++ programs using data-parallel programming Target multiple device types (e.g. CPU, GPU, FPGA) Use SYCL and SYCL compilers Connect with computing’s heterogeneous future via Intel’s oneAPI initiative Who This Book Is For Those new data-parallel programming and computer programmers interested in data-parallel programming using C++.