Tips and techniques on using the Intel® Compilers to maximize your application performance.
Information about Intel® Integrated Performance Primitives (Intel® IPP) memory functions
The purpose of this document is to help developers determine which FFT, Intel® MKL or Intel® IPP is best suited for their application.
How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
A toolkit that gives 6 Steps to Increase Performance Through Vectorization in Your Application
Which applications are most likely to benefit from recompilation for Intel® Advanced Vector Extensions (Intel® AVX)?Applications containing vectorizable, floating-point loops or calls to performance libraries are the most likely to see significant performance gains from rebuilding for the Intel® Advanced Vector Extensions (Intel® AVX)
compiler reports "unable to do dynamic initialization" when compiling code that use the GNU* vector_size attribute.
Get tips for common vectorization functions, such as handling user-defined function calls inside vector loops.
Intel System Studio not only provides a variety of signal processing primitives via Intel® Integrated Performance Primitives (Intel® IPP), and Intel® Math Kernel Library (Intel® MKL), but also allows developing high-performance low-latency custom code (Intel C++ Compiler with Intel Cilk Plus). Since Intel Cilk Plus is built into the compiler, it can be used where it demands an efficient threading...