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ARROW-9605: [C++] Speed up aggregate min/max compute kernels on integer types

1. Use BitBlockCounter to speedup the performance for typical 0.01% null probability data.
2. Enable compiler auto SIMD vectorize for no-nulls on int types. Float/Double use fmin/fmax to handle NaN which can't be vectorize by compiler.
3. Also add test case to cover different null probability.

Closes #7871 from jianxind/kernel_min_max

Lead-authored-by: Frank Du <frank.du@intel.com>
Co-authored-by: Antoine Pitrou <antoine@python.org>
Signed-off-by: Antoine Pitrou <antoine@python.org>