Zobrazeno 1 - 10
of 124
pro vyhledávání: '"James Reinders"'
'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
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
This open access book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel programming experts, this book reflects their collective decades of experience in developing and teaching parallel p
Autor:
James Reinders, James Jeffers
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 coprocess
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 boo
Autor:
James Reinders
Publikováno v:
IWOCL
James will share his passion for getting to a world of heterogeneous computing where software tooling (compilers, frameworks, libraries, etc.) all have an “XPU view” of the world that spans vendors and devices. In this world, James advocates that
Publikováno v:
Data Parallel C++ ISBN: 9781484255735
Memory consistency is not an esoteric concept if we want to be good parallel programmers. It is a critical piece of our puzzle, helping us to ensure that data is where we need it when we need it and that its values are what we are expecting. This cha
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b1c440df4ee131b1bce50a471db7d603
https://doi.org/10.1007/978-1-4842-5574-2_19
https://doi.org/10.1007/978-1-4842-5574-2_19
Publikováno v:
Data Parallel C++ ISBN: 9781484255735
Kernel-based programming originally became popular as a way to access GPUs. Since it has now been generalized across many types of accelerators, it is important to understand how our style of programming affects the mapping of code to an FPGA as well
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b0549ed466bad9250ffae59bd4a627c
https://doi.org/10.1007/978-1-4842-5574-2_17
https://doi.org/10.1007/978-1-4842-5574-2_17
Publikováno v:
Data Parallel C++ ISBN: 9781484255735
Now we can put together our first collection of puzzle pieces. We already know how to place code (Chapter 10.1007/978-1-4842-5574-2_2) and data (Chapter 10.1007/978-1-4842-5574-2_3) on a device—all we must do now is engage in the art of deciding wh
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::78933a6432e480be5b725d454d0c016e
https://doi.org/10.1007/978-1-4842-5574-2_4
https://doi.org/10.1007/978-1-4842-5574-2_4