Overview
Intel® Math Kernel Library (Intel® MKL) includes the optimized DFT transform functions on Intel® Xeon Phi™ coprocessors. These functions are carefully vectorized and threaded to take advantage of the hardware features. This article provides some performance tuning tips on running MKL DFT function on Intel Xeon Phi coprocessors. We will start with some simple example code.
Building the example code
Employing performance libraries can be a great way to streamline and unify the computational execution flow for data intensive tasks, thus minimizing the risk of data stream timing issues and heisenbugs. Here we will describe the two libraries that can be used for signal processing within Intel® System Studio.
Intel® Integrated Performance Primitives (Intel®IPP)
The complexity of System-On-Chip based designs used in Intelligent Systems is growing fast with platforms comprised of multiple different cores with the software stack interacting across these cores. This translates directly to a more complex software stack, that has its own challenges for guaranteeing consistent reliability throughout the devices life cycle. Thus it is ever more important to have system and application debug solutions that provide deep hardware and platform insight as well as visibility of the entire system software stack.
Intel® System Studio
Abstract
Introduction
Problem Description:
We have a number of customers report regarding incorrect behavior of GELS in Intel® MKL 11.0 if sequential library is linked.
Customer’s quote:”When I compile and run this program with Intel® Fortran Composer XE 2013(**), the output is totally wrong. Compiling and running with Intel FORTRAN Composer XE 2011 (*) gives the correct results.”
