Data Parallel C++: Programming Accelerated Systems Using C++ and SYCL - Image 1

£36.35

Apress Data Parallel C++: Programming Accelerated Systems Using C++ and SYCL

Name: Data Parallel C++: Programming Accelerated Systems Using C++ and SYCL
Brand: Apress
Price: 34.28 GBP
Availability: InStock

Hardware & DIY

Price History & Forecast

Last 26 days • 26 data points (No recent data available)

Historical

Generating forecast...

Price Distribution

Price distribution over 26 days • 3 price levels

Days at Price

Current Price

Price Analysis

Most common price: £34 (13 days, 50.0%)

Price range: £34 - £37

Price levels: 3 different prices over 26 days

Description

"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 University Learn 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 programming Use SYCL and C++ compilers that support SYCL Write portable code for accelerators that is vendor and device agnostic Optimize code to improve performance for specific accelerators Be poised to benefit as new accelerators appear from many vendors Who This Book Is For New data-parallel programming and computer programmers interested in data-parallel programming using C++ This is an open access book.

Product Specifications

Brand: Apress
Format: paperback
ASIN: 1484296907
Category: Books > Subjects > Computing & Internet > Hardware & DIY
Domain: Amazon UK
Release Date: 04 October 2023
Listed Since: 24 June 2023

Barcode

No barcode data available

Apress Data Parallel C++: Programming Accelerated Systems Using C++ and SYCL

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Parallel Programming for Modern High Performance Computing Systems

Parallel Programming for Modern High Performance Computing Systems

Advanced CUDA Techniques: Optimizing C++ Applications for Maximum Performance (Mastering CUDA Programming with C++)

Parallel C++: Efficient and Scalable High-Performance Parallel Programming Using HPX

Multicore and GPU Programming: An Integrated Approach

Modern Parallel Programming with C++ and Assembly Language: X86 SIMD Development Using AVX, AVX2, and AVX-512

C++ High Performance: Master the art of optimizing the functioning of your C++ code, 2nd Edition

Programming Models for Parallel Computing (Scientific and Engineering Computation)

GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)

GPU Parallel Program Development Using CUDA (Chapman & Hall/CRC Computational Science)

OpenCL Programming Guide

Parallel Programming: for Multicore and Cluster Systems

C++20 for Programmers: An Objects-Natural Approach (Deitel Developer Series)

OpenCL in Action: How to Accelerate Graphics and Computation

Scientific Parallel Computing

Guide to Scientific Computing in C++ (Undergraduate Topics in Computer Science)

Introduction to High Performance Scientific Computing (Software, Environments, and Tools)

Using OpenMP-The Next Step: Affinity, Accelerators, Tasking, and SIMD (Scientific and Engineering Computation)

Parallel Computing for Data Science: With Examples in R, C++ and CUDA: 28 (Chapman & Hall/CRC The R Series)

High Performance Computing: Programming and Applications (Chapman & Hall/CRC Computational Science)

Parallel Programming in OpenMP

An Introduction to Parallel Programming

Practical C++ STL Programming: Real-World Applications with C++20 and C++23

Parallel Computing for Data Science: With Examples in R, C++ and CUDA: 28 (Chapman & Hall/CRC The R Series)