Performance Essentials with OpenMP 4.0 Vectorization
Techniques a developer can use to utilize vector hardware to potentially improve application performance by using explicit vector programming methods with OpenMP* 4.0 in C/C++.
This chapter covers topics in vectorization. Vectorization is a form of data-parallel programming where the processor performs the same operation simultaneously on N data elements of a vector (a one-dimensional array of scalar data objects such as floating point objects, integers, or double precision floating point objects).
Intel® Graphic Technology is a supported part of the compiler product. Developers should adhere to the programming guidelines in order to benefit from the compiler and GT features efficiently.
1."#pragma offload target(gfx)" is required to mark the parallel loop as an "offload region". The "__declspec(target(gfx))" does not do that. It merely states that the function should be compiled to run on the GFX target.
For example, the following incorrect code snippet use is from a customer: