For example, you can specify software or hardware support for floating-point, particular
hardware architectures, and the level of conformance to IEEE floating-point standards.
The selection of floating-point options determines various trade-offs between
floating-point performance, system cost, and system flexibility. To obtain the best
trade-off between performance, cost, and flexibility, you have to make sensible choices in
your selection of floating-point options.
Floating-point arithmetic can be supported, either:
In software, through the floating-point library
fplib. This library
provides functions that can be called to implement floating-point operations using no
In hardware, using a hardware Vector Floating
Point (VFP) coprocessor with the ARM processor to provide the required
floating-point operations. VFP is a coprocessor architecture that implements IEEE
floating-point and supports single and double precision, but not extended precision.
In practice, floating-point arithmetic in the VFP is implemented using a combination
of hardware, that executes the common cases, and software, that deals with the
uncommon cases, and cases causing exceptions.
Code that uses hardware support for floating-point arithmetic is more compact and offers
better performance than code that performs floating-point arithmetic in software. However,
hardware support for floating-point arithmetic requires a VFP coprocessor.