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_2

2. Where Code Executes

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

 

Parallel programming is not really about driving in the fast lane. It is actually about driving fast in all the lanes. This chapter is all about enabling us to put our code everywhere that we can. We choose to enable all the compute resources in a heterogeneous system whenever it makes sense. Therefore, ...