• 多核心優(yōu)化函數(shù)：“矢量與統(tǒng)計(jì)”數(shù)學(xué)、“信號(hào)過(guò)濾”、“傅立葉變換”、“圖像/JPEG 壓縮與顏色轉(zhuǎn)換”等領(lǐng)域的許多關(guān)鍵函數(shù)的內(nèi)部都使用 OpenMP* 進(jìn)行過(guò)多線程處理，可以在多核心系統(tǒng)上實(shí)現(xiàn)最佳性能。
• 多核心優(yōu)化代碼示例：許多“英特爾 IPP”代碼示例都進(jìn)行過(guò)多線程處理，以說(shuō)明在視頻編碼與解碼等應(yīng)用程序中如何有效地使用“英特爾 IPP”函數(shù)。
• 真正線程安全的函數(shù)：所有的“英特爾 IPP”函數(shù)都完全能夠確保線程安全，簡(jiǎn)化了集成到多線程應(yīng)用程序中的工作。

• 性能優(yōu)化的函數(shù)
  
  “英特爾 IPP 5.1”中添加了一些新的優(yōu)化技術(shù)，可以在最新的處理器（如英特爾® 酷睿™ 雙核處理器與英特爾® 奔騰® D 處理器）上實(shí)現(xiàn)最佳性能。
  
  使用眾多技術(shù)領(lǐng)域中最為廣泛的經(jīng)過(guò)高度優(yōu)化的函數(shù)，消除應(yīng)用程序中可能出現(xiàn)的任何性能瓶頸：
  
• 視頻編碼：DV、MPEG-2、MPEG-4、H.263 以及 MPEG-4 Part 10 (H.264) 編解碼器的關(guān)鍵算法組件。“圖 2”顯示 H.264 編解碼器流程中適合使用“英特爾 IPP”視頻編碼組件（用藍(lán)色方框表示）的地方。這些函數(shù)包括：
  
  • 運(yùn)動(dòng)補(bǔ)償
  • 運(yùn)動(dòng)估計(jì)
  • 改進(jìn)的離散余弦變換
  • 量化與反量化
  • 熵編碼

• 圖像處理：包含許多內(nèi)置的圖像處理函數(shù)，其中有：
  
• 計(jì)算機(jī)視覺(jué)：提供視頻數(shù)據(jù)處理功能，包括：
  
• 顏色轉(zhuǎn)換：采用以下技術(shù)改善圖像顏色與顏色效果之間的轉(zhuǎn)換效率：
  
• 字符串處理：使用“字符串處理”（查找、插入、刪除、比較）與“常規(guī)表達(dá)式”，將文本數(shù)據(jù)庫(kù)管理、搜索與檢索或文檔索引處理功能集成到應(yīng)用程序中。
  備注：“英特爾® PCA 處理器”上不提供。
• JPEG 編碼：JPEG、JPEG 2000 以及“動(dòng)態(tài) JPEG”編解碼器的關(guān)鍵算法組件。“圖 3”顯示 JPEG 與 JPEG 2000 編解碼器流程中適合使用“英特爾 IPP”的 JPEG 編碼組件（用藍(lán)色方框表示）的地方。
  備注：“英特爾® PCA 處理器”上不提供。
• 語(yǔ)音編碼：包含針對(duì)以下用途的函數(shù)：
  
  它還包含用于“回聲消除”與“通用語(yǔ)音類別”的語(yǔ)音函數(shù)。
• 信號(hào)處理：包含針對(duì)以下用途的信號(hào)處理功能：
  
  備注：“英特爾® PCA 處理器”上不提供。
• 數(shù)據(jù)壓縮：采用以下技術(shù)最大程度地壓縮多媒體數(shù)據(jù)：
  
• 音頻編碼：MP3、AAC 以及 AC3 編解碼器的關(guān)鍵算法組件。“圖 4”顯示 AAC 編解碼器流程中適合使用“英特爾 IPP”的 JPEG 編碼組件（用藍(lán)色方框表示）的地方。這些函數(shù)包括：
  
  • 哈夫曼編碼
  • 光譜數(shù)據(jù)預(yù)量化
  • 改進(jìn)的離散余弦變換
  • 區(qū)塊過(guò)濾
  • 頻域預(yù)測(cè)
  • 光譜帶復(fù)制
  • 快速傅立葉變換
• 語(yǔ)音識(shí)別：通過(guò)采用以下技術(shù)，使應(yīng)用程序支持語(yǔ)音識(shí)別、“IP 語(yǔ)音傳輸”以及語(yǔ)音注解功能，從而實(shí)現(xiàn)口授和語(yǔ)音命令：
  
  備注：“英特爾® PCA 處理器”上不提供。
• 矢量/矩陣運(yùn)算：包含針對(duì)以下用途的實(shí)用矩陣與矢量函數(shù)：
  
  備注：“英特爾® PCA 處理器”上不提供。
• 密碼技術(shù)：采用以下加密算法在應(yīng)用程序中編寫(xiě)安全功能代碼：
  
  備注：“英特爾® PCA 處理器”上不提供。

• 新推出 Mac OS* 版！
  獲取適用于 Mac OS* 應(yīng)用程序的高性能數(shù)據(jù)處理與多媒體函數(shù)庫(kù) - 所有這些使用的都是您熟悉的“英特爾 IPP API”。
• 支持多核處理器
  使用能夠確保線程安全的函數(shù)以及多線程函數(shù)，讓?xiě)?yīng)用程序無(wú)需修改便可充分發(fā)揮最新多核處理器的優(yōu)勢(shì)。
• 新的 CPU 性能優(yōu)化技術(shù)
  通過(guò)使用更新的、特定于英特爾® 酷睿™ 雙核與英特爾® 酷睿™ 單核處理器微體系結(jié)構(gòu)的優(yōu)化技術(shù)，充分發(fā)揮這些新處理器的優(yōu)勢(shì)。
• 更加豐富的視頻編碼示例
  使用新的代碼示例（演示對(duì)附加的 H.264 編解碼器檔案與 CABAC 編碼的支持），更快地開(kāi)發(fā)先進(jìn)的視頻應(yīng)用。
• 更加豐富的語(yǔ)音編碼示例：
  立即使用新的 AMRWB+ 代碼示例開(kāi)發(fā)協(xié)作應(yīng)用。

• 操作系統(tǒng)
  現(xiàn)已支持 Mac OS*！借助“英特爾® 集成性能原件 5.1 Mac OS* 版”，只需使用 Windows* 版與 Linux* 版所有的相同函數(shù)庫(kù) API 與函數(shù)，便可以輕松將應(yīng)用程序移植到 Mac OS。
• 開(kāi)發(fā)環(huán)境
  “英特爾 IPP”非常易于使用，且可輕松集成到主流的開(kāi)發(fā)工具與環(huán)境中，如 Microsoft Visual Studio*、Xcode*、Eclipse*、GCC 以及“英特爾® C++ 編譯器”。

• 英特爾® 酷睿™ 雙核處理器與英特爾® 奔騰® D 多核處理器
• 英特爾® 至強(qiáng)® 處理器
• 含“英特爾® EM64T”的處理器，包括 64 位英特爾至強(qiáng)處理器、英特爾® 奔騰® D 處理器以及英特爾® 奔騰® 處理器至尊版
• 英特爾® 奔騰® 4 與英特爾® 奔騰® M 處理器
• 基于“英特爾 XScale®”技術(shù)的處理器，包括英特爾® IXP4xx 處理器與支持“英特爾® 無(wú)線 MMX™”技術(shù)的英特爾® PXA27x 應(yīng)用處理器。
• 英特爾® 安騰® 2 處理器

Intel IPP is validated for use with multiple generations of Intel and compatible AMD* processors, and is backed by world-class support through the Intel® Premier Support program, and by developer community forums.

Features

Multicore Processor Support
Intel IPP 6.0 fully supports today’s multicore computing platforms:

• Multicore Optimized, Threaded Functions: Over 1700 critical functions for Matrix and Vector mathematics, Signal/Image Filtering and Convolutions, Image/JPEG Compression, Color Conversion and Computer Vision are internally threaded to automatically maximize performance on multi-core systems.
• Multicore 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.

To learn more about threading and Intel IPP functions visit our threading Frequently Asked Questions (FAQ) page.

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 instruction sets.

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

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):

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

Intel IPP based optimization is automatically included in the popular OpenCV open-source computer-vision library, for enhanced performance on real-time tasks, and Intel IPP was a key software component in the winner of the 2005 DARPA Grand Challenge.

Color Conversion: Today’s explosion of digital media in multiple formats brings the need to convert digital media among different color representations. Intel IPP provides a rich set of optimized color-conversion routines on 32/24/16-bit-per-pixel formats:

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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.

JPEG Coding: Key algorithmic components for JPEG, JPEG 2000, and Motion JPEG codecs. Figure 4 shows where Intel IPP JPEG coding components (represented by the blue boxes) fit into the JPEG and JPEG 2000 codec process flow.

Speech Coding: Intel IPP includes a comprehensive set of routines supporting the following speech codecs/functions:

The freely-downloadable Intel IPP Universal Speech Class (USC) code samples illustrate the use of the low-level Intel IPP functions to build speech codecs.

Signal Processing: Includes signal processing features for the following:

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

Audio Coding: Key algorithmic components for MP3,and AAC codecs. Figure 5 shows where Intel IPP JPEG coding components (represented by the blue boxes) fit into the AAC codec process flow. Functions include:

• Huffman Coding
• Spectral Data Pre-Quantization
• Modified Discrete Cosine Transforms
• Block Filtering
• Frequency Domain Prediction
• Spectral Band Replication
• Fast Fourier Transforms

The Video and Audio code samples illustrate sample codec implementations using Intel IPP functions.[SPAN]

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:

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.

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

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.

Intel IPP’s cryptographic functions have been validated according to the Cryptographic Algorithm Validation Program (CAVP).

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

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

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.

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

Application Target Platforms

32-bit IA-32 Architecture-Based and Compatible Platforms
(Intel Core 2 processor family, Intel Core processor family, Intel Pentium processors, and compatible AMD processors)

64-bit Intel 64 Architecture-Based Platforms
(Intel Core 2 processor family, Intel Pentium D processors, Intel Xeon processors, and processors from AMD compatible with Intel 64 architecture)

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64-bit IA-64 Architecture-Based Platforms
(Intel® Itanium® processors)

Intel Atom Architecture-based Platforms

Installation Requirements