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INTEL PERFORMANCE LIBRARIES - Integrated Performance Primitives (Intel IPP) & Math Kernel Library (Intel MKL). Intel Corporation HRS
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INTEL PERFORMANCE LIBRARIES - Integrated Performance Primitives (Intel IPP) & Math Kernel Library (Intel MKL).


Intel® Software College
Intel® offers libraries focused on graphics, multimedia, math and signal processing that are optimized for Itanium 2, Xeon, Pentium® 4, and Intel Personal Internet Client Architecture (Intel PCA) processors with Intel XScale technology. With a single, common API, Intel Performance Libraries simplify cross-architecture development and save developers time.

Intel® Integrated Performance Primitives for Windows

Intel Integrated Performance Primitives for Windows

Intel Integrated Performance Primitives (Intel IPP) is an extensive library of multi-core ready, processor-optimized software functions for multimedia and data processing algorithms.  Build drop-in functionality and accelerate your application performance.  Take advantage of functions that are highly optimized for the multi-core capabilities of Intel Core Duo processors. Use pre-built functions and codecs for audio, video, and imaging; cryptography; speech recognition; and matrix, vector math and signal processing. More Information

Intel® Integrated Performance Primitives for Linux

Intel Integrated Performance Primitives for Linux

Get applications ready for the latest multi-core processors with thread-safe, optimized functions for video, audio, image, and signal processing that are offered by Intel for Linux. Bring the high-definition image quality and high-compression advantages of MPEG-4 Part 10 (H.264) video to your applications with more video processing functions and a new Codec Development Framework to simplify media application development. More Information.

Intel® Integrated Performance Primitives for Mac OS

Intel Integrated Performance Primitives for Mac OS

Boost application performance and streamline application development with the latest Intel Integrated Performance Primitives (Intel IPP). Get high-performance data processing and a multimedia function library for Mac OS* X applications-all while using the familiar Intel IPP API. More Information

Intel® Math Kernel Library for Windows

Intel Math Kernel Library for Windows

Boost application performance with Intel Math Kernel Library (Intel MKL) for Windows, a set of highly optimized, thread-safe, mathematical functions for engineering, scientific and financial applications requiring high performance on Intel platforms. The functional areas of the library include Linear Algebra (BLAS and LAPACK), Linear Algebra (Sparse Solvers), Fast Fourier Transforms (FFT), Vector Math Library (VML), and Random Number Generators. More Information

Intel® Math Kernel Library for Linux

Intel Math Kernel Library for Linux

Get engineering, scientific and financial applications that require high performance ready for the latest multi-core processors with Intel Math Kernel Library (Intel MKL) for Linux. The functional areas of the library include Linear Algebra (BLAS and LAPACK), Linear Algebra (Sparse Solvers), Fast Fourier Transforms (FFT), Vector Math Library (VML), and a Random Number Generator. Intel MKL for Linux has been fully tested and validated on many Linux operating systems for both Itanium and IA-32 based systems. More Information

 

Intel® Math Kernel Library for Mac OS

Intel Math Kernel Library for Mac OS

Take advantage of cross-platform math routines that are highly optimized for the multi-core capabilities of Intel Core Duo processors. Intel Math Kernel Library (Intel MKL) for Mac OS X is a set of highly optimized, thread-safe, mathematical functions for engineering, scientific, and financial applications requiring high performance on Intel platforms. The functional areas of the library include Linear Algebra (BLAS and LAPACK), Linear Algebra (Sparse Solvers), Fast Fourier Transforms (FFT), Vector Math Library (VML), and a Random Number Generator. More Information

 

* Other brands and names may be claimed as the property of others. Visit Intel's Legal Information web site for more information. © 2004 - 2008, Intel Corporation.


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