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unicorn/qemu/fpu
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Emilio G. Cota 8276a4dc66
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
2018-12-19 10:45:22 -05:00
..
softfloat-macros.h softfloat: Don't execute divdeu without power7 2018-11-11 08:33:46 -05:00
softfloat-specialize.h fpu/softfloat: Define floatN_silence_nan in terms of parts_silence_nan 2018-05-20 00:13:42 -04:00
softfloat.c hardfloat: implement float32/64 comparison 2018-12-19 10:45:22 -05:00