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https://developer.arm.com/architectures/instruction-sets/floating-point
The Arm architecture provides high-performance and high-efficiency hardware support for floating-point operations in half-, single-, and double-precision arithmetic. It is fully IEEE-754 compliant with full software library support. This page describes floating-support relative to Cortex-A and Cortex-R processors. For information relative to Cortex-M, please refer to our DSP for Cortex-M page.
https://embeddedartistry.com/blog/2017/10/11/demystifying-arm-floating-point-compiler-options/
Oct 11, 2017 · Since ARM defines a standard floating-point instruction set, we can still utilize the floating-point ABI even if our chip does not support the actual hardware. If floating-point hardware is not present, the instructions will be trapped and executed by a floating-point emulation module instead.
https://developer.arm.com/docs/dui0808/e/floating-point-support/ieee-754-arithmetic/exception-types-recognized-by-the-arm-floating-point-environment
The enhanced floating-point libraries, and hardware floating-point systems, all support Inexact Result. If Inexact Result is not trapped, the system rounds the result in the usual way. The flag for Inexact Result is also set by Overflow and Underflow if either one of those is not trapped.
https://developer.arm.com/docs/100073/0607/floating-point-support/about-floating-point-support
About floating-point support. The ARM ® floating-point environment is an implementation of the IEEE 754-1985 standard for binary floating-point arithmetic. Note In ARMv8, floating-point hardware is integral to the architecture. Software floating-point is supported for AArch32 state, but …
https://developer.arm.com/docs/100302/latest/introduction/about-the-cortex-a5-fpu/vfpv4-architecture-hardware-support
It provides conversions between 16-bit, 32-bit, and 64-bit floating-point formats and ARM ® integer word formats, with special operations to perform conversions in round-towards-zero mode for high-level language support.. ARMv7 deprecates the use of VFP vector mode. The Cortex‑A5 FPU hardware does not support VFP vector operations.
https://stackoverflow.com/questions/5103957/why-does-using-float-instead-of-double-not-improve-android-performance
Move it into C/C++ with the NDK, then limit your targets to ARM7, which has a floating-point co-processor. Or, change your math to work in fixed-point mode. For example, Google Maps does not deal with decimal degrees for latitude and longitude, but rather microdegrees (10^6 times degrees), specifically so that it can do its calculations using ...
http://www.keil.com/support/man/docs/armlib/armlib_chr1358938908603.htm
Non-Confidential PDF versionARM DUI0378H ARM® Compiler v5.06 for µVision® ARM C and C++ Libraries and Floating-Point Support User GuideVersion 5Home > The ARM C and C++ Libraries Chapter 1 The ARM C and C++ Libraries Describes the ARM® C and C++ libraries. It contains the following sections:1.1 Mandatory linkage with the C library.1.2 C and C++ runtime libraries.1.3 C and C++ …
http://www.keil.com/support/man/docs/armlib/armlib_chr1358938951957.htm
Non-Confidential PDF versionARM DUI0378H ARM® Compiler v5.06 for µVision® ARM C and C++ Libraries and Floating-Point Support User GuideVersion 5Home > Floating-point Support > IEEE 754 arithmetic > Exception types recognized by the ARM floating-point environment 3.5.8 Exception types recognized by the ARM floating-point environment The ARM® floating-point environment …
http://linux-7110.sourceforge.net/howtos/netbook_new/x1114.htm
22. Floating Point Emulation Notes. The netBook's ARM cpu does not have hardware floating point capabilities, so floating point must be emulated. This emulation can be done in a number of ways. These are some enlightening notes about this subject I gleened off the web.
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