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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.
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++.
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.
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++.
Learn heterogenous programming for CPU, GPU, FPGA, ASIC, etc.
Gain a vision for the future of parallel programming support in C++
Program with industrial strength implementations of SYCL, with extensions
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.
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 548 |
ISBN-13: | 9781484255735 |
ISBN-10: | 1484255739 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Reinders, James
Ashbaugh, Ben Brodman, James |
Hersteller: |
APRESS
Apress L.P. |
Maße: | 235 x 155 x 30 mm |
Von/Mit: | James Reinders (u. a.) |
Erscheinungsdatum: | 03.11.2020 |
Gewicht: | 0,861 kg |
Learn heterogenous programming for CPU, GPU, FPGA, ASIC, etc.
Gain a vision for the future of parallel programming support in C++
Program with industrial strength implementations of SYCL, with extensions
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.
Erscheinungsjahr: | 2020 |
---|---|
Fachbereich: | Programmiersprachen |
Genre: | Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Taschenbuch |
Seiten: | 548 |
ISBN-13: | 9781484255735 |
ISBN-10: | 1484255739 |
Sprache: | Englisch |
Einband: | Kartoniert / Broschiert |
Autor: |
Reinders, James
Ashbaugh, Ben Brodman, James |
Hersteller: |
APRESS
Apress L.P. |
Maße: | 235 x 155 x 30 mm |
Von/Mit: | James Reinders (u. a.) |
Erscheinungsdatum: | 03.11.2020 |
Gewicht: | 0,861 kg |