Kernel Math Emulation vs. -msoft-float and -nfp
grant at lcse.umn.edu
Sat Oct 30 02:09:04 EST 1999
I finally got NFS root mounting working for the PowerPC 403GCX board port
I'm playing with and figured out why /sbin/init wasn't getting very far
(shared libraries, of course). However, that's about as far as things get.
I suspect that things are dying at this point because I'm using standard
files from Linux/PPC 1999 and that really assumes a PPC machine based on
the 6xx or 7xx processors.
So, I'm guessing that printf or one of the other routines that uses
varargs is killing things. I even compiled a simple, static, hello program
to replace /sbin/init and it too died.
So, I'm a little fuzzy on the issues with sans-FPU CPUs. What I'd like* to
accomplish is the ability to run a PowerPC binary compiled on ANY
Linux/PPC machine to run on this board. I think* I need kernel math
emualtion to accomplish this.
Anyway it seems to me that with the sans-FPU CPUs, there are three issues:
use of the floating point registers for argument passing, use of float and
double data types, and the use of arithmetic operations on those data
So, my understanding is that -msoft-float does two things. First, it
prevents varags routines from using the floating point registers for
parameter passing, correct? Second, all floating / double math operations
are handled in inline or library code in user space, right?
So, my understanding of kernel math emulation is that it allows me to do
away with -msoft-float and instead all FP operations are emulated in the
So, it seems the trade-off is more code (redundant for each app if it's
inline, shared if it's in the library) in user-space or a little more code
in the kernel (shared by ANY application needing it), right?
So, where does passing '-nfp' during the binutils, gcc, and glibc build
fit into all this?
Any light you can shed would be most appreciated.
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