Titlebook: Data Parallel C++; Mastering DPC++ for James Reinders,Ben Ashbaugh,Xinmin Tian Book‘‘‘‘‘‘‘‘ 20211st edition Intel Corporation 2021 heterog

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Programming for CPUs,Kernel programming originally became popular as a way to program GPUs. As kernel programming is generalized, it is important to understand how our style of programming affects the mapping of our code to a CPU.

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范例

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Communication: Innovation & Qualityent, in the previous chapter. USM forces us to think about where memory lives and what should be accessible where. The buffer abstraction is a higher-level model that hides this from the programmer. Buffers simply represent data, and it becomes the job of the runtime to manage how the data is stored and moved in memory.

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Product and Service Categorizationkernels. We discussed how basic data-parallel kernels apply the same operation to every piece of data independently. We also discussed how explicit ND-range kernels and hierarchical parallel kernels divide the execution range into work-groups of work-items.

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Communications Standard Dictionaryprogramming is no different, and it would be a serious mistake not to study the patterns that have proven to be useful in this space. Consider the MapReduce frameworks adopted for Big Data applications; their success stems largely from being based on two simple yet effective parallel patterns—. and ..