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Data parallel C++mastering DPC++ for...

Reinders, James.

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

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Data parallel C++by James Reinders ... [et al.].
其他題名:	mastering DPC++ for programming of heterogeneous systems using C++ and SYCL /
其他作者:	Reinders, James.
出版者:	Berkeley, CA :Apress :2021.
面頁冊數:	xxvi, 548 p. :ill. (some col.), digital ;24 cm.
Contained By:	Springer Nature eBook
標題:	Heterogeneous computing.
電子資源:	https://doi.org/10.1007/978-1-4842-5574-2
ISBN:	9781484255742$q(electronic bk.)

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$q(electronic bk.)

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

224824
Heterogeneous computing.

LC Class. No.: QA76.88

Dewey Class. No.: 004.35

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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.
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