Perform computations on large vectors.
Three of the header files are Apple’s versions of well-known libraries which are described in detail in external references:
vblasare the interfaces to Apple’s implementations of BLAS. You can find reference documentation in BLAS. Additional documentation on the BLAS standard, including reference implementations, can be found on the web starting from the BLAS FAQ page at these URLs: http://www.netlib.org/blas/faq.html and http://www.netlib.org/blas/blast-forum/blast-forum.html.
clapack.h is the interface to Apple’s implementation of LAPACK. Documentation of the LAPACK interfaces, including reference implementations, can be found on the web starting from the LAPACK FAQ page at this URL: http://netlib.org/lapack/faq.html
This document describes the functions declared in the remaining header files:
v. These files support the vector mathematical functions library (also called “vMathLib”), which runs on vector processing hardware if available.
This library abstracts the vector processing capability so that code written for it will execute appropriate instructions for the processor available at runtime. For this reason, unless you are writing specialized code that targets a single CPU, you should generally use these functions rather than directly using vector instructions. By using these functions, your code does not have to deal with subtle differences in vector instruction availability between different microarchitectures, freeing you to focus on the problem you are trying to solve. Also, code written using vecLib tends to be easier to port to different CPU architectures (porting your core libraries to ARM on iOS, for example).