Data Parallel C++ Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL /
Learn how to accelerate C++ programs using data parallelism. 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 GP...
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| 主要な著者: | , , , , , |
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| 団体著者: | |
| フォーマット: | 電子媒体 eBook |
| 言語: | 英語 |
| 出版事項: |
Berkeley, CA :
Apress : Imprint: Apress,
2021.
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| 版: | 1st ed. 2021. |
| 主題: | |
| オンライン･アクセス: | Link to Metadata |
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目次:
- 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.