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Data parallel C++ = mastering DPC++ ...

Reinders, James.

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Data parallel C++ = mastering DPC++ for programming of heterogeneous systems using C++ and SYCL /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Data parallel C++/ by James Reinders ... [et al.].
Reminder of title:	mastering DPC++ for programming of heterogeneous systems using C++ and SYCL /
other author:	Reinders, James.
Published:	Berkeley, CA :Apress : : 2021.,
Description:	xxvi, 548 p. :ill. (some col.), digital ;24 cm.
[NT 15003449]:	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: USM in detail -- Chapter 7: Buffers in detail -- Chapter 8: DAG scheduling in detail -- Chapter 9: Local memory and work-group barriers -- Chapter 10: Defining kernels -- Chapter 11: Vectors -- Chapter 12: Device-specific extension mechanism -- Chapter 13: Programming for GPUs -- Chapter 14: Programming for CPUs -- Chapter 15: Programming for FPGAs -- Chapter 16: Address spaces and multi_ptr -- Chapter 17: Using libraries -- Chapter 18: Working with OpenCL -- Chapter 19: Memory model and atomics.
Contained By:	Springer Nature eBook
Subject:	Heterogeneous computing. -
Online resource:	https://doi.org/10.1007/978-1-4842-5574-2
ISBN:	9781484255742

Data parallel C++ = mastering DPC++ for programming of heterogeneous systems using C++ and SYCL /
Data parallel C++mastering DPC++ for programming of heterogeneous systems using C++ and SYCL /[electronic resource] :by James Reinders ... [et al.]. - Berkeley, CA :Apress :2021. - xxvi, 548 p. :ill. (some col.), digital ;24 cm.

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: USM in detail -- Chapter 7: Buffers in detail -- Chapter 8: DAG scheduling in detail -- Chapter 9: Local memory and work-group barriers -- Chapter 10: Defining kernels -- Chapter 11: Vectors -- Chapter 12: Device-specific extension mechanism -- Chapter 13: Programming for GPUs -- Chapter 14: Programming for CPUs -- Chapter 15: Programming for FPGAs -- Chapter 16: Address spaces and multi_ptr -- Chapter 17: Using libraries -- Chapter 18: Working with OpenCL -- Chapter 19: Memory model and atomics.

Open access.

ISBN: 9781484255742

Standard No.: 10.1007/978-1-4842-5574-2doiSubjects--Topical Terms:

778047
Heterogeneous computing.

LC Class. No.: QA76.88

Dewey Class. No.: 004.35

Data parallel C++ = mastering DPC++ for programming of heterogeneous systems using C++ and SYCL /
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245 0 0 $a Data parallel C++ $h [electronic resource] : $b mastering DPC++ for programming of heterogeneous systems using C++ and SYCL / $c by James Reinders ... [et al.].
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2021.
300 $a xxvi, 548 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a 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: USM in detail -- Chapter 7: Buffers in detail -- Chapter 8: DAG scheduling in detail -- Chapter 9: Local memory and work-group barriers -- Chapter 10: Defining kernels -- Chapter 11: Vectors -- Chapter 12: Device-specific extension mechanism -- Chapter 13: Programming for GPUs -- Chapter 14: Programming for CPUs -- Chapter 15: Programming for FPGAs -- Chapter 16: Address spaces and multi_ptr -- Chapter 17: Using libraries -- Chapter 18: Working with OpenCL -- Chapter 19: Memory model and atomics.
506 $a Open access.
650 0 $a Heterogeneous computing. $3 778047
650 0 $a C++ (Computer program language) $3 527229
650 0 $a OpenCL (Computer program language) $3 1613645
650 1 4 $a Programming Languages, Compilers, Interpreters. $3 891123
650 2 4 $a Hardware and Maker. $3 3134857
700 1 $a Reinders, James. $3 1641627
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-1-4842-5574-2
950 $a Professional and Applied Computing (SpringerNature-12059)