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Accelerate Framework

The Accelerate framework, introduced in Mac OS X v10.3 and expanded in v10.4, is a set of high-performance vector-accelerated libraries. You don’t need to be concerned with the architecture of the target machine because the routines in this framework abstract the low-level details. The system automatically invokes the appropriate instruction set for the architecture that your code runs on.

This framework contains the following libraries:

• vImage is the Apple image processing framework that includes high-level functions for image manipulation—convolutions, geometric transformations, histogram operations, morphological transformations, and alpha compositing—as well as utility functions that convert formats and perform other operations. See vImage Programming Guide.

• vDSP provides mathematical functions that perform digital signal processing (DSP) for applications such as speech, sound, audio, and video processing, diagnostic medical imaging, radar signal processing, seismic analysis, and scientific data processing. The vDSP functions operate on real and complex data types and include data type conversions, fast Fourier transforms (FFTs), and vector-to-vector and vector-to-scalar operations.

• vMathLib contains vector-accelerated versions of all routines in the standard math library. See vecLib Framework Reference.

• LAPACK is a linear algebra package that solves simultaneous sets of linear equations, tackles eigenvalue and singular solution problems, and determines least-squares solutions for linear systems.

• BLAS (Basic Linear Algebra Subroutines) performs basic vector and matrix computations.

• vForce contains routines that take matrices as input and output arguments, rather than single variables.

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