Developer(s) | Intel |
---|---|
Stable release | |
Written in | C/ C++ |
Operating system | Linux, macOS, Microsoft Windows |
Type | Library or framework |
License | Proprietary, freeware [3] |
Website |
software |
Intel Integrated Performance Primitives (Intel IPP) is an extensive library of ready-to-use, domain-specific functions that are highly optimized for diverse Intel architectures. Its royalty-free APIs help developers: Take advantage of Single Instruction, Multiple Data (SIMD) instructions. [4]
The library supports Intel and compatible processors and is available for Linux, macOS and Windows.. It is available separately or as a part of Intel oneAPI Base Toolkit. [4]
Intel IPP releases use a Semanic Versioning Schema, so that even though the major version looks like a year (YYYY), it is not technically meant to be a year. So it might not change every calendar year. [5]
The library takes advantage of processor features including MMX, SSE, SSE2, SSE3, SSSE3, SSE4, AVX, AVX2, AVX-512, AES-NI and multi-core processors. [6] Intel IPP includes functions for:
Intel IPP is divided into four major processing groups: Signal processing (with linear array or vector data), Image processing (with 2D arrays for typical color spaces), Data Compression and Cryptography. [6]
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. [6]
Developer(s) | Intel |
---|---|
Stable release | |
Written in | C/ C++ |
Operating system | Linux, macOS, Microsoft Windows |
Type | Library or framework |
License | Proprietary, freeware [3] |
Website |
software |
Intel Integrated Performance Primitives (Intel IPP) is an extensive library of ready-to-use, domain-specific functions that are highly optimized for diverse Intel architectures. Its royalty-free APIs help developers: Take advantage of Single Instruction, Multiple Data (SIMD) instructions. [4]
The library supports Intel and compatible processors and is available for Linux, macOS and Windows.. It is available separately or as a part of Intel oneAPI Base Toolkit. [4]
Intel IPP releases use a Semanic Versioning Schema, so that even though the major version looks like a year (YYYY), it is not technically meant to be a year. So it might not change every calendar year. [5]
The library takes advantage of processor features including MMX, SSE, SSE2, SSE3, SSSE3, SSE4, AVX, AVX2, AVX-512, AES-NI and multi-core processors. [6] Intel IPP includes functions for:
Intel IPP is divided into four major processing groups: Signal processing (with linear array or vector data), Image processing (with 2D arrays for typical color spaces), Data Compression and Cryptography. [6]
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. [6]