Data Parallel C++: Mastering DPC++ for Programming of Heterogeneous Systems using C++ and SYCL

© Intel Corporation 2021

J. Reinders et al.Data Parallel C++https://doi.org/10.1007/978-1-4842-5574-2_16

16. Programming for CPUs

James Reinders¹ , Ben Ashbaugh², James Brodman³, Michael Kinsner⁴, John Pennycook⁵ and Xinmin Tian⁶

(1)

Beaverton, OR, USA

(2)

Folsom, CA, USA

(3)

Marlborough, MA, USA

(4)

Halifax, NS, Canada

(5)

San Jose, CA, USA

(6)

Fremont, CA, USA

 

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.

The CPU has evolved over the years. A major shift occurred around 2005 when performance gains ...