In order to use n2n on macOS, you first need to install support for TUN/TAP interfaces:
```bash
brew tap homebrew/cask
brew cask install tuntap
```
If you are on a modern version of macOS (i.e. Catalina), the commands above will ask you to enable the TUN/TAP kernel extension in System Preferences → Security & Privacy → General.
For more information refer to vendor documentation or the [Apple Technical Note](https://developer.apple.com/library/content/technotes/tn2459/_index.html).
The easiest way to boosting speed is by allowing the compiler to apply optimization to the code. To let the compiler know, the configuration process can take in the optionally specified compiler flag `-O3`:
There are reports of compile errors showing `n2n_seed': random_numbers.c:(.text+0x214): undefined reference to _rdseed64_step'` even though the CPU should support it, see #696. In this case, best solution found so far is to disable `RDSEED` support by adding `-U__RDSEED__` to the `CFLAGS`.
Some ciphers' speed can take advantage of OpenSSL support which is disabled by default as the built-in ciphers already prove reasonably fast in most cases. OpenSSL support can be configured using
Please do no forget to `make clean` after (re-)configuration and before building (again) using `make`.
## ZSTD Compression Support
In addition to the built-in LZO1x for payload compression (`-z1` at the edge's commandline), n2n optionally supports [ZSTD](https://github.com/facebook/zstd). As of 2020, it is considered cutting edge and [praised](https://en.wikipedia.org/wiki/Zstandard) for reaching the currently technologically possible Pareto frontier in terms of CPU power versus compression ratio. ZSTD support can be configured using
which then will include ZSTD if found on the system. It will be available via `-z2` at the edges. Of course, it can be combined with the other features mentioned above:
Again, and this needs to be reiterated sufficiently often, please do no forget to `make clean` after (re-)configuration and before building (again) using `make`.
By default, SPECK does not take advantage of ARM NEON hardware acceleration even if compiled with `-march=native`. The reason is that the NEON implementation proved to be slower than the 64-bit scalar code on Raspberry Pi 3B+, see [here](https://github.com/ntop/n2n/issues/563).
Your specific ARM mileage may vary, so it can be enabled by configuring the definition of the `SPECK_ARM_NEON` macro: