Intel® - Integrated Performance Primitives (Intel® IPP)

	Intel® Software Development Products for Intel® Platforms and Technologies

Intel® Integrated Performance Primitives 6.0 for Windows, Linux, and Mac OS* X

Overview	New In This Release	Support
Features	Compatibility	Print
Performance-Optimized Functions	System Requirements

Overview

Intel® Integrated Performance Primitives 5.2<br>for Windows*, Linux*, and Mac OS*

Intel® Integrated Performance Primitives (Intel® IPP) is an extensive library of multi-core-ready, highly optimized software functions for multimedia, data processing, and communications applications.

Version 6.0 Available Now! Intel IPP 6.0 brings expanded functionality in data compression, image processing, and more.

Intel IPP is one of the Intel® Performance Libraries, which provide optimizing software building blocks to complement Intel’s optimizing compilers and performance optimization tools. Intel IPP is available as a component of the Intel® Compiler Professional, and Suite Editions, for a more complete and cost-effective solution, and as a standalone product.

Microsoft Visual Studio* Developers: Create Windows applications more rapidly from within Microsoft Visual Studio 2003, 2005, and 2008, with this versatile library of key algorithmic building-blocks for multimedia processing, data compression, encryption and more.

Figure 1. Intel Integrated Performance Primitives (Intel IPP) Product Components and Benefits to Application Developers

Features

Multi-Core Processor Support

Figure 2. Multi-Core Processors Enable the True Parallel Execution of Multi-Threaded Software
Applications
Intel IPP 6.0 fully supports today’s multi-core computing platforms:
	Multi-Core Optimized Functions: Many critical functions for Vector and Statistical mathematics, Signal Filtering, Fourier Transforms, Image/JPEG Compression and Color Conversion are internally threaded using OpenMP* for the highest performance on multi-core systems.
	Multi-Core Optimized Code Samples: Many of the Intel IPP code samples are threaded to illustrate the effective use of Intel IPP functions in applications such as video encoding and decoding.
	Fully Thread-Safe Functions: All Intel IPP functions are fully thread-safe, simplifying integration into threaded applications.

Performance-Optimized Functions

Intel IPP functions are designed to deliver performance beyond what optimized compilers alone can deliver by matching the function algorithms to low-level optimizations based on the processor’s available features such as Streaming SIMD Extensions (SSE, SSE2, SSE3, SSSE3, SSE4, and SSE4.1) and other optimized instructions sets.

Intel® IPP Function Domain List

Vector/Matrix Operations

Color Conversion

Audio Coding

Cryptography

Ray-Tracing/Rendering

Video Coding: Key algorithmic components for DV25/50/100, MPEG-2, MPEG-4, H.263, and MPEG-4 Part 10 (H.264) codecs. Figure 3 shows where Intel IPP video coding components (represented by the blue boxes) fit into the H.264 codec process flow. Functions include:
	Motion Compensation
	Motion Estimation
	Modified Discrete Cosine Transforms
	Quantization and Inverse Quantization
	Entropy Coding

Figure 3. Intel® Integrated Performance Primitives (Intel® IPP) Components in the H.264 Codec Process Flow
The Video and Audio code samples illustrate sample codec implementations using Intel IPP functions.

Back to Function Domain List

Image and 2D Signal Processing: Intel IPP is the premier library of image and 2D signal processing algorithms, and includes a rich selection of algorithms operating on images and regions within images (ROIs):

Transforms:
	Wavelet
	Fourier (FFT/DFT, real/complex)
	Windowing (Hamming, Bartlett)
	Discrete Cosine (DCT)

Image Statistics:
	Sum, Integral, Tilted Integral
	Mean, Min, Max, Histogram, StDev
	Image Moments
	Image Norms (L1, L2, infinity)
	Image Quality Index calculation
	Proximity Measures (Cross-corrrelations, Square Distance)
	Threshold/Compare Operations

Filtering Functions:
	General linear filtering
	Convolution/Deconvolution (LR and FFT)
	Box, Min, Max, Median
	Wiener Filters
	Fixed Filters (Prewitt, Sobel, Laplace, Gauss, Scharr, Roberts)
	Sharpening/Hipass/Lowpass Filters

Image Arithmetic/Logic Operations:
	Alpha composition
	Arithmetic operations
	(add/sub/mul/div/ sqrt/sqr/ln/exp/abs)
	Logical operations (AND, OR, XOR, Shift, NOT)

Geometric Transforms:
	Resize, Mirror, Rotate,, Shear
	Affine transforms
	Perspective transformations
	Bilinear warping
	Coordinate remapping

Image Data Exchange/Initialization:
	Copy/Set/Transpose
	Channel swapping
	Jaehne/Ramp/Zigzag initialization
	Memory allocation for multiple image types

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Computer Vision: Includes optimized functions for many key computer-vision operations, for applications in security, machine control, media management, media annotation and more:

Feature Detection (Corner, Canny Edge Detection)

Pattern Recognition (Haar classifiers)

Distance Transforms

Pyramid functions (Gaussian/Laplacian pyramids)

Image Gradients

Universal Pyramid functions

Flood Filling

Camera Calibration

Motion Templates generation

3D Reconstruction[ST2]

Optical Flow calculation (Lucas-Kanade)

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Color Conversion:Intel IPP provides a rich set of optimized color-conversion routines on 32/24/16-bit-per-pixel formats:

Color Module Conversion:
	RGB, YUV, YCbCr, BGR, CbYCr, HSV, LUV, Lab, YCC, HLS, SBGR, YCoCg, YCCK, XYZ, CMYK

Lookup Table Conversions (Linear/Cublic/Palette)

Color to Greyscale Conversions (Fixed/Custom coefficients)

Image Bit Resolution Reductions

Color Format Conversions:
	YCbCr422, YCbCr420, YCbCr411, CbYCr422, BGR565, BGR555, BGR565Dither

Color Twist Conversions (integer/float pixel values)

Gamma Corrections (Forward/Backward)

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String Processing: Build optimized text database management, search and retrieval, or document indexing processing into your applications using Intel IPP’s optimized string operations.

Substring substitution/insertion

String/Substring matching

String concatenation/splitting

Pyramid functions (Gaussian/Laplacian pyramids)

Upper/lower case conversions

Hash value calculation

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JPEG Coding: Key algorithmic components for JPEG, JPEG 2000, and Motion JPEG codecs. Figure 3 shows where Intel IPP JPEG coding components (represented by the blue boxes) fit into the JPEG and JPEG 2000 codec process flow.

Figure 4. Intel Integrated Performance Primitives (Intel IPP) Components in the JPEG and JPEG 2000 Codec Process Flow

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Speech Coding: Includes functions for the following:

G.722.1

G729

G.722 Sub-Band ADPCM

GSM/AMR

G.723.1

AMR-Wideband

G.726

GSM Full Rate

G.728

Companding

Echo Cancellation

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Signal Processing: Includes signal processing features for the following:

Filtering and Convolution:
	Finite Impulse Response (FIR)
	Infinite Impulse Response (IIR)
	Median filtering
	Cyclic convolution
	Auto/Cross-correlation

Array/Signal Initialization/Manipulation:
	Move/Copy/Set/Zero
	Tone/Triangle/Ramp/Jaehne Generation
	Random vector generation (Uniform/Gaussian)
	Array allocation
	Real/Complex conversion
	Polar/Cartesian conversion

Transforms:
	Fourier (FFT, DFT, Goertzel)
	Discrete Cosine Transforms (DCT)
	Hilbert Transforms
	Wavelet Transforms (fixed/custom filters)
	Power spectrum calculation

Array/Signal statistics :
	Sum/Max/Min/Mean/StdDev/Norm
	Dot products
	Thresholding
	Viterbi decoding

Windowing/Sampling:
	Upsampling/Downsampling
	Windowing (Bartlett/Blackman/ Hamming/Hann/Kaiser)

Array Arithmetic/Logic Operations:
	Arithmetic operations (add/sub/mul/div/ sqrt/sqr/ln/exp/abs)
	Logical operations (AND, OR, XOR, Shift, NOT)
	Array sorting
	Magnitude/Phase

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Data Compression:In addition to video, audio and image compression with codecs, Intel IPP provides functions for lossless compression menthods, such as those used in the popular “zlib” (inflate and deflate) and “libbzip2” libraries:

Burrows-Wheeler-Transform techniques:
	Burrows-Wheeler Transform (BWT)
	Generalized Interval Transform
	Move-to-Front (MTF)
	Run-length encoding (RLE)

Entropy coding:
	Huffman coding
	Variable-Length Coding (VLC)

Dictionary-based Compression:
	LZSS encode/decode
	LZ77 encode/decode

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Audio Coding: Key algorithmic components for MP3, AAC, and AC3 codecs. Figure 4 shows where Intel IPP JPEG coding components (represented by the blue boxes) fit into the AAC codec process flow. Functions include:
	Huffman Coding
	Motion Estimation
	Modified Discrete Cosine Transforms
	Block Filtering
	Frequency Domain Prediction
	Spectral Band Replication
	Fast Fourier Transforms

Figure 5. Intel® Integrated Performance Primitives (Intel® IPP) Components in the AAC Codec Process Flow
The Video and Audio code samples illustrate sample codec implementations using Intel IPP functions.

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Speech Recognition: Build advanced speech recognition, Voice-over-IP, and voice annotation capabilities in applications, using Intel IPP’s broad range of speech-recognition capabilities:

Feature Processing

Acoustic Echo Cancellation (AEC)

Model Evaluation

Polyphase Resampling

Model Estimation

Advanced Aurora Functions

Model Adaptation

Ephraim-Malah Noise Suppression

Vector Quantization

Voice Activity Detection

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Vector/Matrix Operations: Intel IPP contains a rich set of matrix and vector operations for a wide variety of applications, including physics modeling and 3D transform/lighting calculations:

Matrix Algebra :
	Eigenvalue/eigenvector calculation
	Least Squares (QR decompositions/back-sub)
	Linear Systems (LU/Cholesky)
	Region-of-Interest (ROI) extraction
	Fast copy of vectors/matrices

Vector Algebra :
	Dot products
	L2 norm calculation
	“saxpy” (ax + y) operations
	Linear combination (ax + by)
	Power/root functions
	Exponential/Logarithmic/Erf/Erfc functions
	Trigonometric/Hyperbolic functions
	Polar/Cartesian conversion

Note: For applications requiring high-performance linear algebra operations on very large data sets, the Intel® Math Kernel Library may also be of interest.

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Cryptography: Use Intel IPP to quickly build robust, high-performance cryptographic modules and applications. Below are some of the many cryptographic building blocks included in Intel IPP’s cryptography functions.

Symmetric Ciphers:
	Block Ciphers (AES/Rijndael, DES, Triple DES, Blowfish, Twofish)
	Stream Ciphers (ARCFour)

Asymmetric Cryptography:
	Elliptic curve cryptography (GF(p) and GF(2m)
	RSA algorithm (RSA-OAEP, RSA-SSA)
	Discrete-Logarithm Cryptography
	Big-Number arithmetic
	Montgomery reduction
	Pseudo-random number generation
	Prime number generation

One-way Hashing:
	Generalized Hashing (MD5, SHA1-512)
	Mask Generation (MD5, SHA1-512)

Data Authentication:
	Keyed Hash (HMAC-MD5, HMAC-SHA1-512)
	Data Authentication Functions (DES, TDES, Rijndael, Blowfish, Twofish)

Intel IPP’s cryptography algorithms have been formally validated under the Cryptographic Algorithm Validation Program (CAVP):

Name:
	Discrete Logarithm (Digital Signature Standard)
	Integer Factoring (Digital Signature Standard)
	Eliptic Curve Digital Signature Algorithm (ECDSA)
	Random Number Generator

Standards/Certificate:
	FIPS 186-2 / Cert 190
	FIPS 186-2, ANSI X9.31-1998 / Cert 181
	FIPS 186-2, ANSI X9.62-1998 / Cert 40
	FIPS 186-2 / Cert 245

Note: To access the Cryptography Library, you must request access from Intel.

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Ray-Tracing and Rendering: Core operations used in ray-tracing, realistic image rendering, and physics applications:

Bounding-box calculations

Object-ray intersections

Shadow/Reflection calculations

Data Integrity: Error correcting codes are vitally important to preserving the integrity of data in transmission, storage and encoding. For example transmission lines can be unreliable and introduce data errors, spurious signals can occur when saving data to a compact disk, and errors can occur when reading bar codes. Using error correcting codes like Reed-Solomon is a good way to correct these errors.

Error Correcting Codes:

Reed-Solomon

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New In This Release

Expanded Optimizations for latest Intel Microarchitectures

	Intel® Core™ i7 processor support
	Intel® Atom™ Processor support

High-level Data Compression library Support for LZO high-speed algorithm, and improved performance for zlib, gzip, and bzip2 algorithms.

Deferred Mode Image Processing (DMIP) Layer, introduced as a sample on top of Intel IPP libraries, provides solutions for pipelined image operations on larger images, utilizes in memory optimization and improves performance in multi-threading environment.

Unified Image Codec (UIC) framework sample library to standardize plug-and-play interfaces for various image codecs (JPEG, JPEG2000, etc.)

Threaded Static Libraries are added to cover all functional domains

Data Integrity Functional Domain: Reed-Solomon error correcting codes to preserve integrity of data in transmission, storage and encoding.

New functions in existing domains

	Signal Processing: Walsh-Hadamard and Discrete Hartley transforms plus higher performance complex and real discrete Fourier transforms (DFT) for various input sizes and input/output formats. (ippGen)
	Image processing: ippiCopy and ippiTranspose functions
	Image processing: 3D transforms - resizing, affine transform and remapping
	Video coding enhancement: denoising, deinterlasing, demosaicing
	Cryptography : Reed-Solomon Algorithm

New features and enhancement in Intel IPP samples

	Microsoft* RT audio support
	Speech coding standard G729.1 codec support
	Video AVS codec support for decoding
	Image search descriptors (MPEG7), color layout, edge histogram
	Super resolution technology, optical flow
	ALS decoder profile support in AAC decoding

Architecture, Operating System, and Compiler Compatibility

Please refer to the section below for installation requirements and system requirements that match your application’s target platform.

System Requirements

Application Target Platforms

Please refer to the section below that matches your application's target computing platform:

32-bit Intel Architecture Platforms

	Intel® Core i7™ processor family
	Intel® Core™2 processor family (including 45nm processors)
	Intel® Core Processor Family
	Intel® Pentium® M processors
	Intel ultra-mobile processors (A100, A110, and 45 nm processors)
	Intel® Pentium® D processor
	Intel® Pentium® 4 processor
	Intel® Xeon® processors (3000, 5000, 7000 series)
	Other compatible processors, e.g. AMD Athlon/Opteron processors

64-bit Intel® 64-based platforms

	Intel® Core i7™ processor family
	Intel Core 2 processor family (including 45nm processors)
	Intel ultra-mobile processors (45 nm processors)
	Intel® Pentium® D processor
	Intel® Pentium® 4 processor
	Intel® Xeon® processors (3000, 5000, 7000 series)
	Other compatible processors, e.g. AMD Athlon/Opteron processors

64-bit Intel® Itanium® 2 processor Family Platforms

Intel® Itanium® 2 processors

Intel® XScale® Microarchitecture-based Platforms

Intel® IXP4xx Processors with Intel XScale® technology

Intel Atom architecture platforms

	Intel Atom processor
	Intel Centrino Atom processor

32-bit IA-32 Intel® Architecture-Based and Compatible Platforms

OS Version

Supported Compilers

Microsoft Windows*

	Windows* XP
	Windows Vista*
	Windows Server* 2003
	Windows Server* 2008

	Intel® C++ Compiler for Windows* OS version 10.1 and 11.0
	Microsoft Visual Studio* 2005 and 2008
	Microsoft* Visual C++*.NET 2003
	Microsoft* Windows Software Development Kit for Microsoft* Windows Vista

Linux*

Linux system with glibc 2.2.4, 2.2.5, 2.2.93, 2.3.2 or 2.3.3 and the 2.4.X or 2.6.X Linux kernel as represented by the following distributions:
	Red Hat Enterprise Linux* OS 2.1, 3, or 4
	SUSE* Linux 8.2, 9.1
	SUSE Linux Enterprise Server* 8 or 9
	Debian* 4.0r1
	Ubuntu* 7.10
	Asianux* Server 3.0
	Red Flag* 5.0
Note: Not all distributions listed are validated and not all distributions are listed.

	Intel® C++ Compiler version 10.1 and 11.0 for Linux * for IA-32 processors
	Linux Developer tools component installed, including GCC, g++ and related tools

Mac OS* X

Mac OS X 10.4.3 or later

	Intel C++ Compiler 10.1 and 11.0 for Mac OS X, including Professional Edition
	GNU Compiler Collection 4.0 or later

64-bit Intel® 64 Architecture-Based and Compatible Platforms

OS Version

Supported Compilers

Microsoft Windows*

	Windows* XP
	Windows* Vista
	Windows* Server 2003
	Windows* Server 2008

	Intel® C++ Compiler for Windows*OS version 10.1 and 11.0 for processors with Intel® 64
	Microsoft* Visual Studio* 2005
	Microsoft* Visual Studio* 2008
	Microsoft* Platform SDK, Version 3790.1830 (April 2005)
	Microsoft* Platform SDK R2, Version 3790.2075 (March 2006)

Linux*

Linux system with glibc 2.2.4, 2.2.5, 2.2.93, 2.3.2 or 2.3.3 and the 2.4.X or 2.6.X Linux kernel as represented by the following distributions:
	Red Hat Enterprise Linux* OS 3 or 4
	SUSE Linux Enterprise Server* 9
	Debian* 4.0r1
	Ubuntu* 7.10
	Asianux* Server 3.0
	Red Flag* 5.0
Note: Not all distributions listed are validated and not all distributions are listed.

	Intel C++ Compiler 10.1 & 11.0 for Linux or later
	Linux Developer Tools installed, including GCC, g++, and related tools

Mac OS* X

Mac OS X 10.4.6 or later

	Intel C++ Compiler 10.1 and 11.0 for Mac OS X
	GNU Compiler Collection 4.0 or later

64-bit Intel® Itanium® 2 Processor family Platforms

OS Version

Supported Compilers

Microsoft Windows*

	Microsoft* Windows Server* 2003
	Microsoft* Windows Server* 2008

	Intel® C++ Compiler for Windows* OS version 10.1 and 11.0 for Intel Itanium Processors
	Microsoft* Platform SDK, Version 3790.1830 (April 2005)
	Microsoft* Platform SDK R2, Version 3790.2075 (March 2006)

Linux

Linux system with glibc 2.2.4, 2.2.5, 2.2.93, 2.3.2 or 2.3.3 and the 2.4.X or 2.6.X Linux kernel as represented by the following distributions.
	Red Hat Enterprise Linux* OS 2.1, 3, or 4
	SUSE Linux Enterprise Server* 8 or 9
	Debian* 4.0r1
	Ubuntu* 7.10
	Asianux* Server 3.0
	Red Flag* 5.0
Note: Not all distributions listed are validated and not all distributions are listed.

	Intel C++ Compiler 10.1 & 11.0 for Linux
	inux Developer Tools installed, including GCC, g++, and related tools

Intel® Atom Architecture-based Platforms

OS Version

Supported Compilers

Linux

Linux system with glibc 2.2.4, 2.2.5, 2.2.93, 2.3.2 or 2.3.3 and the 2.4.X or 2.6.X Linux kernel as represented by the following distributions.
	Ubuntu* 7.10
	Red Flag* 5.0
Note: Not all distributions listed are validated and not all distributions are listed.

	Intel® C++ Compiler version 10.1 & 11.0 for Linux* OS for IA-32 processors
	Linux Developer tools component installed, including GCC, g++ and related tools

Installation Requirements

Supported Software / Hardware

Operating Systems

*Linux:**
	Ubuntu* 7.10
	Red Flag* 5.0

Minimum Processor Requirements

IA-32 Intel® Architecture & Compatible Platforms:
	Intel® Pentium® III processor or later, 400MHz or faster
	Any Intel® Core™ Family processor
	Any Intel® Xeon® processor
	Compatible AMD* processors
Intel® 64 Architecture or Compatible Platforms:
	Any Intel® Core™ Family processor
	Any Intel® Pentium® D processor
	Any Intel® Xeon® processor
	Compatible AMD* processors
Intel® Itanium® 2 Platforms:
	Any Intel Itanium 2 processor
Intel® Atom Processor-based Platforms:
	Any Intel® Atom Family processor

Minimum Disk Space for Install

900 MB, plus 300 MB of temporary space during installation for each Application Target Platform

Support

Every purchase of an Intel® Software Development Product includes a year of support services, which provides access to Intel® Premier Support and all product updates during that time. Intel Premier Support gives you online access to technical notes, application notes, and documentation. Install the product, and then register to get support and product update information.

Intel provides both the tools and support to enhance the performance, functionality and efficiency of software applications.

Compatible with leading Windows* and Linux* development environments, Intel® Software Development Products are the fastest and easiest way to take advantage of the latest features of Intel processors. Intel Software Development Products are designed for use in the full development cycle, and include Intel® Performance Libraries, Intel Compilers (C++, Fortran for Windows, Linux, and Mac OS* X), Intel® VTune™ Analyzer, and Intel® Threading Tools and Intel® Cluster Tools.

The Intel® Premier Customer Support Web site provides expert technical support for all Intel software products, product updates and related downloads. For additional product information visit: www.intel.com/software/products.

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