Implementation notes: amd64, par, crypto_stream/tpypy

Computer: par
Architecture: amd64
CPU ID: GenuineIntel-000406c3-bfebfbff
SUPERCOP version: 20161026
Operation: crypto_stream
Primitive: tpypy
TimeImplementationCompilerBenchmark dateSUPERCOP version
21260e/tpypygcc -funroll-loops -march=native -mcpu=native -O22016121420161026
21320e/tpypygcc -funroll-loops -march=native -mcpu=native -O32016121420161026
23540e/tpypygcc -funroll-loops -march=native -mcpu=native -Os2016121420161026
25980e/tpypygcc -march=native -mcpu=native -O22016121420161026
26140e/tpypygcc -march=native -mcpu=native -O32016121420161026
27600e/tpypygcc -march=native -mcpu=native -Os2016121420161026

Compiler output

Implementation: crypto_stream/tpypy/e/tpypy
Compiler: gcc -funroll-loops -march=native -mcpu=native -O2
api.c: gcc: warning: '-mcpu=' is deprecated; use '-mtune=' or '-march=' instead
tpypy.c: gcc: warning: '-mcpu=' is deprecated; use '-mtune=' or '-march=' instead
try.c: gcc: warning: '-mcpu=' is deprecated; use '-mtune=' or '-march=' instead
try.c: gcc: warning: '-mcpu=' is deprecated; use '-mtune=' or '-march=' instead
measure.c: gcc: warning: '-mcpu=' is deprecated; use '-mtune=' or '-march=' instead

Number of similar (compiler,implementation) pairs: 6, namely:
CompilerImplementations
gcc -funroll-loops -march=native -mcpu=native -O2 e/tpypy
gcc -funroll-loops -march=native -mcpu=native -O3 e/tpypy
gcc -funroll-loops -march=native -mcpu=native -Os e/tpypy
gcc -march=native -mcpu=native -O2 e/tpypy
gcc -march=native -mcpu=native -O3 e/tpypy
gcc -march=native -mcpu=native -Os e/tpypy