Part 3 GPUs: Built to accelerate
The following chapters on GPU computing discuss using GPUs for scientific computing. The topics include
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In chapter 9, you’ll gain an understanding of the GPU architecture and its benefits for general-purpose computation.
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In chapter 10, you’ll learn how to build a mental representation of the programming model for GPUs.
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In chapters 11 and 12, you’ll explore the available GPU programming languages. In chapter 11, we present basic examples in OpenACC and OpenMP, and in chapter 12, we cover a broad range of GPU languages, from lower level native languages like CUDA, OpenCL, and HIP to higher level ones like SYCL, Kokkos, and Raja.
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In chapter 13, you’ll learn about profiling tools and developing a workflow ...
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