Integrated Performance Primitives
| Developer(s) | Intel |
|---|---|
| Stable release | 9.0 / August 25, 2015 |
| Written in | C/C++ |
| Operating system | Microsoft Windows, Linux, OS X, Android |
| Type | library or framework |
| License | Proprietary, Freeware[1] |
| Website | software |
Intel Integrated Performance Primitives (Intel IPP) is a multi-threaded software library of functions for multimedia and data processing applications, produced by Intel.[2]
The library supports Intel and compatible processors and is available for Windows, Linux, OS X and Android operating systems. It is available separately or as a part of Intel Parallel Studio.[2]
Contents
Features
The library takes advantage of processor features including MMX, SSE, SSE2, SSE3, SSSE3, SSE4, AVX, AVX2, AVX-512, AES-NI and multi-core processors. [3] Intel IPP includes functions for:
- Video decode/encode
- Audio decode/encode
- JPEG/JPEG2000/JPEG XR
- Computer vision
- Cryptography
- Data compression
- Image color conversion
- Image processing
- Ray tracing and Rendering
- Signal processing
- Speech coding
- Speech recognition
- String processing
- Vector and matrix mathematics
Organization
Intel IPP is divided into four major processing groups: Signal (with linear array or vector data), Image (with 2D arrays for typical color spaces), Matrix (with nxm arrays for matrix operations), and Cryptography.[3]
Half the entry points are of the matrix type, a third are of the signal type and the remainder are of the image and cryptography types. Intel IPP functions are divided into 4 data types: Data types include 8u (8-bit unsigned), 8s (8-bit signed), 16s, 32f (32-bit floating-point), 64f, etc. Typically, an application developer works with only one dominant data type for most processing functions, converting between input to processing to output formats at the end points.[3]
History
- Version 2.0 files are dated April 22, 2002.
- Version 3.0
- Version 4.0 files are dated November 11, 2003. 4.0 runtime fully supports applications coded for 3.0 and 2.0.
- Version 5.1 files are dated March 9, 2006. 5.1 runtime does not support applications coded for 4.0 or before.
- Version 5.2 files are dated April 11, 2007. 5.2 runtime does not support applications coded for 5.1 or before. Introduced June 5, 2007, adding code samples for data compression, new video codec support, support for 64-bit applications on Mac OS X, support for Windows Vista, and new functions for ray-tracing and rendering.
- Version 6.1 was released with the Intel C++ Compiler on June 28, 2009. Update 1 for version 6.1 was released on July 28, 2009. Update 2 files are dated October 19, 2009.[4]
- Version 7.1[5]
- Version 8.0[6]
- Version 8.1[7]
- Version 8.2[8]
- Version 9.0, August 25, 2015[9]
Counterparts
- Sun: mediaLib for Solaris
- Apple: vDSP, vImage, Accelerate etc. for Mac OS X
- AMD: Framewave (formerly the AMD Performance Library or APL)
- Khronos Group: OpenMAX DL
See also
- Intel Parallel Studio XE
- Intel Data Analytics Acceleration Library (DAAL)
- Intel Math Kernel Library (MKL)
- Intel Threading Building Blocks (TBB)
- Intel Parallel Advisor
- Intel Parallel Inspector
- Intel VTune Amplifier
- Intel Developer Zone (Intel DZ; support and discussion)
References
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
- ↑ 2.0 2.1 Lua error in package.lua at line 80: module 'strict' not found.
- ↑ 3.0 3.1 3.2 Lua error in package.lua at line 80: module 'strict' not found.
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
- ↑ Lua error in package.lua at line 80: module 'strict' not found.
External links
- No URL found. Please specify a URL here or add one to Wikidata.
- Intel Parallel Studio Home Page
- Stewart Taylor, "Intel Integrated Performance Primitives - How to Optimize Software Applications Using Intel IPP", Intel Press.
- Jpeg Delphi implementation using official JPEG Group C library or Intel Jpeg Library 1.5 (ijl.dll included)
- How To Install OpenCV using IPP (french)
