A white paper to describe Intel AVX Realization of Lanczos interpolation in Intel IPP 2D Transform functions.
This page contains common questions and answers on multi-threading in the Intel IPP.
More Information about using Intel® IPP in Java* applications
Information about Intel® Integrated Performance Primitives (Intel® IPP) memory functions
Performance Tools for Software Developers - SSE generation and processor-specific optimizations continuedCan I combine the processor values and target more than one processor? How to generate optimized code for both Intel and AMD* architecture? Where can I find more information on processor-specific optimizations?
Q: How to get Intel® Integrated Performance Primitives (Intel® IPP) Static threaded libraries?
Image Processing Acceleration Techniques using Intel® Streaming SIMD Extensions and Intel® Advanced Vector ExtensionsThis article details optimized implementations of data transformations and algorithms together with analysis comparing performance and providing speedup measurements for Intel® SSE optimized code and estimates for Intel® AVX optimized code.
How to configure OpenMP in the Intel IPP library to maximize multi-threaded performance of the Intel IPP primitives.
Intel® AVX is a new 256-bit instruction set extension to Intel® Streaming SIMD Extensions and is designed for applications that are floating point intensive. This paper discusses options to integrate Intel® AVX into an application via use of intrinsics.
The specific optimization and general support for the latest Intel® AVX2 instructions have been added in the Intel MKL v11.0. This article lists the specific functions that are optimized for Intel AVX2.