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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 /
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.
內容註:
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
標題:
Heterogeneous computing. -
電子資源:
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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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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