hardfloat: implement float32/64 comparison

hardfloat: implement float32/64 comparison

Performance results for fp-bench:

Host: Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz
- before:
cmp-single: 110.98 MFlops
cmp-double: 107.12 MFlops
- after:
cmp-single: 506.28 MFlops
cmp-double: 524.77 MFlops

Note that flattening both eq and eq_signaling versions
would give us extra performance (695v506, 615v524 Mflops
for single/double, respectively) but this would emit two
essentially identical functions for each eq/signaling pair,
which is a waste.

Aggregate performance improvement for the last few patches:
[ all charts in png: https://imgur.com/a/4yV8p ]

1. Host: Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz

                   qemu-aarch64 NBench score; higher is better
                 Host: Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz

  16 +-+-----------+-------------+----===-------+---===-------+-----------+-+
  14 +-+..........................@@@&&.=.......@@@&&.=...................+-+
  12 +-+..........................@.@.&.=.......@.@.&.=.....+befor===     +-+
  10 +-+..........................@.@.&.=.......@.@.&.=.....+ad@@&& =     +-+
   8 +-+.......................$$$%.@.&.=.......@.@.&.=.....+  @@u& =     +-+
   6 +-+............@@@&&=+***##.$%.@.&.=***##$$%+@.&.=..###$$%%@i& =     +-+
   4 +-+.......###$%%.@.&=.*.*.#.$%.@.&.=*.*.#.$%.@.&.=+**.#+$ +@m& =     +-+
   2 +-+.....***.#$.%.@.&=.*.*.#.$%.@.&.=*.*.#.$%.@.&.=.**.#+$+sqr& =     +-+
   0 +-+-----***##$%%@@&&=-***##$$%@@&&==***##$$%@@&&==-**##$$%+cmp==-----+-+
            FOURIER    NEURAL NELU DECOMPOSITION         gmean

                              qemu-aarch64 SPEC06fp (test set) speedup over QEMU 4c2c1015905
                                      Host: Intel(R) Core(TM) i7-6700K CPU @ 4.00GHz
                                            error bars: 95% confidence interval

  4.5 +-+---+-----+----+-----+-----+-&---+-----+----+-----+-----+-----+----+-----+-----+-----+-----+----+-----+---+-+
    4 +-+..........................+@@+...........................................................................+-+
  3.5 +-+..............%%@&.........@@..............%%@&............................................+++dsub       +-+
  2.5 +-+....&&+.......%%@&.......+%%@..+%%&+..@@&+.%%@&....................................+%%&+.+%@&++%%@&      +-+
    2 +-+..+%%&..+%@&+.%%@&...+++..%%@...%%&.+$$@&..%%@&..%%@&.......+%%&+.%%@&+......+%%@&.+%%&++$$@&++d%@&  %%@&+-+
  1.5 +-+**#$%&**#$@&**#%@&**$%@**#$%@**#$%&**#$@&**$%@&*#$%@**#$%@**#$%&**#%@&**$%@&*#$%@**#$%&**#$@&*+f%@&**$%@&+-+
  0.5 +-+**#$%&**#$@&**#%@&**$%@**#$%@**#$%&**#$@&**$%@&*#$%@**#$%@**#$%&**#%@&**$%@&*#$%@**#$%&**#$@&+sqr@&**$%@&+-+
    0 +-+**#$%&**#$@&**#%@&**$%@**#$%@**#$%&**#$@&**$%@&*#$%@**#$%@**#$%&**#%@&**$%@&*#$%@**#$%&**#$@&*+cmp&**$%@&+-+
  410.bw416.gam433.434.z435.436.cac437.lesli444.447.de450.so453454.ca459.GemsF465.tont470.lb4482.sphinxgeomean

2. Host: ARM Aarch64 A57 @ 2.4GHz

                    qemu-aarch64 NBench score; higher is better
                 Host: Applied Micro X-Gene, Aarch64 A57 @ 2.4 GHz

    5 +-+-----------+-------------+-------------+-------------+-----------+-+
  4.5 +-+........................................@@@&==...................+-+
  3 4 +-+..........................@@@&==........@.@&.=.....+before       +-+
    3 +-+..........................@.@&.=........@.@&.=.....+ad@@@&==     +-+
  2.5 +-+.....................##$$%%.@&.=........@.@&.=.....+  @m@& =     +-+
    2 +-+............@@@&==.***#.$.%.@&.=.***#$$%%.@&.=.***#$$%%d@& =     +-+
  1.5 +-+.....***#$$%%.@&.=.*.*#.$.%.@&.=.*.*#.$.%.@&.=.*.*#+$ +f@& =     +-+
  0.5 +-+.....*.*#.$.%.@&.=.*.*#.$.%.@&.=.*.*#.$.%.@&.=.*.*#+$+sqr& =     +-+
    0 +-+-----***#$$%%@@&==-***#$$%%@@&==-***#$$%%@@&==-***#$$%+cmp==-----+-+
             FOURIER    NEURAL NLU DECOMPOSITION         gmean

Reviewed-by: Alex Bennée <alex.bennee@linaro.org>
Signed-off-by: Emilio G. Cota <cota@braap.org>
Signed-off-by: Alex Bennée <alex.bennee@linaro.org>