Optimize compression by avoiding unpredictable branches

Optimize compression by avoiding unpredictable branches

Avoid unpredictable branch. Use conditional move to generate the address
that is guaranteed to be safe and compare unconditionally.
Instead of

if (idx < limit && x[idx] == val ) // mispredicted idx < limit branch

Do

addr = cmov(safe,x+idx)
if (*addr == val && idx < limit) // almost always false so well predicted

Using microbenchmarks from https://github.com/google/fleetbench,
I get about ~10% speed-up:

name                                                                                          old cpu/op   new cpu/op    delta
BM_ZSTD_COMPRESS_Fleet/compression_level:-7/window_log:15                                     1.46ns ± 3%   1.31ns ± 7%   -9.88%  (p=0.000 n=35+38)
BM_ZSTD_COMPRESS_Fleet/compression_level:-7/window_log:16                                     1.41ns ± 3%   1.28ns ± 3%   -9.56%  (p=0.000 n=36+39)
BM_ZSTD_COMPRESS_Fleet/compression_level:-5/window_log:15                                     1.61ns ± 1%   1.43ns ± 3%  -10.70%  (p=0.000 n=30+39)
BM_ZSTD_COMPRESS_Fleet/compression_level:-5/window_log:16                                     1.54ns ± 2%   1.39ns ± 3%   -9.21%  (p=0.000 n=37+39)
BM_ZSTD_COMPRESS_Fleet/compression_level:-3/window_log:15                                     1.82ns ± 2%   1.61ns ± 3%  -11.31%  (p=0.000 n=37+40)
BM_ZSTD_COMPRESS_Fleet/compression_level:-3/window_log:16                                     1.73ns ± 3%   1.56ns ± 3%   -9.50%  (p=0.000 n=38+39)
BM_ZSTD_COMPRESS_Fleet/compression_level:-1/window_log:15                                     2.12ns ± 2%   1.79ns ± 3%  -15.55%  (p=0.000 n=34+39)
BM_ZSTD_COMPRESS_Fleet/compression_level:-1/window_log:16                                     1.99ns ± 3%   1.72ns ± 3%  -13.70%  (p=0.000 n=38+38)
BM_ZSTD_COMPRESS_Fleet/compression_level:0/window_log:15                                      3.22ns ± 3%   2.94ns ± 3%   -8.67%  (p=0.000 n=38+40)
BM_ZSTD_COMPRESS_Fleet/compression_level:0/window_log:16                                      3.19ns ± 4%   2.86ns ± 4%  -10.55%  (p=0.000 n=40+38)
BM_ZSTD_COMPRESS_Fleet/compression_level:1/window_log:15                                      2.60ns ± 3%   2.22ns ± 3%  -14.53%  (p=0.000 n=40+39)
BM_ZSTD_COMPRESS_Fleet/compression_level:1/window_log:16                                      2.46ns ± 3%   2.13ns ± 2%  -13.67%  (p=0.000 n=39+36)
BM_ZSTD_COMPRESS_Fleet/compression_level:2/window_log:15                                      2.69ns ± 3%   2.46ns ± 3%   -8.63%  (p=0.000 n=37+39)
BM_ZSTD_COMPRESS_Fleet/compression_level:2/window_log:16                                      2.63ns ± 3%   2.36ns ± 3%  -10.47%  (p=0.000 n=40+40)
BM_ZSTD_COMPRESS_Fleet/compression_level:3/window_log:15                                      3.20ns ± 2%   2.95ns ± 3%   -7.94%  (p=0.000 n=35+40)
BM_ZSTD_COMPRESS_Fleet/compression_level:3/window_log:16                                      3.20ns ± 4%   2.87ns ± 4%  -10.33%  (p=0.000 n=40+40)

I've also measured the impact on internal workloads and saw similar
~10% improvement in performance, measured by cpu usage/byte of data.