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
Generally speaking, there are 6 steps for the performance optimization with Intel® C++ Compiler.
The Intel® C++ Compiler, also known as icc, is a high performance compiler which lets you build and optimize your C/C++ applications for the Linux* based operating system. The Intel® C++ compiler provides complete supports for various embedded Linux* system. With multiple features of Intel® C++ compiler, you can easily start to use icc for new project developing, or migrate the existing project from GNU compiler.
-bash: ./lmgrd: No such file or directory
or
-bash: ./lmgrd: /lib64/ld-lsb-x86-64.so.3: bad ELF interpreter: No such file or directory
Intel® VTune™ Amplifier XE 2013 provides a new feature which is a set of Task APIs. These Task APIs help to highlight your interest of Task and its sub-Task(s), in VTune Amplifier XE result.
Task APIs:
void ITTAPI__itt_task_begin ( const __itt_domain *domain, __itt_id taskid, __itt_id parentid, __itt_string_handle *name)
void ITTAPI__itt_task_end ( const __itt_domain *domain)
Intel recently unveiled the new Intel® Xeon Phi™ product – a coprocessor based on the Intel® Many Integrated Core architecture. Intel® Math Kernel Library (Intel® MKL) 11.0 introduces high-performance and comprehensive math functionality support for the Intel® Xeon Phi™ coprocessor. You can download the audio recording of the webinar and the presentation slides from the links below.
Article topic
Pointer Checker to debug buffer overruns and dangling pointers
Overview
