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  1. 1
    Data Parallel C++ Programming Accelerated Systems Using C++ and SYCL /

    Data Parallel C++ Programming Accelerated Systems Using C++ and SYCL / by Reinders, James, Ashbaugh, Ben, Brodman, James, Kinsner, Michael, Pennycook, John, Tian, Xinmin

    Published 2023
    Table of Contents: “…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: Unified Shared Memory -- Chapter 7: Buffers -- Chapter 8: Scheduling Kernels and Data Movement -- Chapter 9: Local Memory and Work-group Barriers -- Chapter 10: Defining Kernels -- Chapter 11: Vector and Math Arrays -- Chapter 12: Device Information and Kernel Specialization -- Chapter 13: Practical Tips -- Chapter 14: Common Parallel Patterns -- Chapter 15: Programming for GPUs -- Chapter 16: Programming for CPUs -- Chapter 17: Programming for FFGAs -- Chapter 18: Libraries -- Chapter 19: Memory Model and Atomics -- Chapter 20: Backend Interoperability -- Chapter 21: Migrating CUDA Code -- Epilogue.…”
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  2. 2
    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 / by Reinders, James, Ashbaugh, Ben, Brodman, James, Kinsner, Michael, Pennycook, John, Tian, Xinmin

    Published 2021
    Table of Contents: “…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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  3. 3
    Data Parallel C++ Programming Accelerated Systems Using C++ and SYCL

    Data Parallel C++ Programming Accelerated Systems Using C++ and SYCL by Reinders, James

    Published 2023
    DOAB: download the publication
    DOAB: description of the publication
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  4. 4
    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 by Reinders, James

    Published 2021
    DOAB: download the publication
    DOAB: description of the publication
    Electronic Book Chapter
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  5. 5
    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 by Reinders, James

    Published 2021
    OAPEN Library: download the publication
    OAPEN Library: description of the publication
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  6. 6
    Data Parallel C++ Programming Accelerated Systems Using C++ and SYCL

    Data Parallel C++ Programming Accelerated Systems Using C++ and SYCL by Reinders, James

    Published 2023
    OAPEN Library: download the publication
    OAPEN Library: description of the publication
    Electronic Book Chapter
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