http://www.catb.org/esr/structure-packing/
https://github.com/Twon/Alignment/blob/master/docs/alignment...
Also ARM for example doesn't have 8/16 bit registers so int8 or int16 will use a 32bit register:
https://stackoverflow.com/a/23716920
Curiosity got to me, perhaps Zig had improved significantly. So I compared the first benchmark I found (kostya/benchmarks/bf) with Zig with Nim. For the smaller input (bench.b) Zig did run with ~22% less RAM (about 20kB less).
However, for the larger input (mandel.b) Nim+ARC used ~33% less RAM in safe mode: Nim 2.163mb -d:release; Zig 2.884mb -O ReleaseSafe; Zig 2.687mb -O ReleaseFast. The Nim requires 0.5mb less ram and the code is ~40% shorter. I don't have time to try out the Rust or Go versions though.
edit: grammar
Note I ran the benchmarks locally (MacBook Air M1) because the reported benchmark uses the older (default) Nim GC while I only use Nim+ARC. I also had to fix the Zig code and it took a few tries to get the signed/unsigned int conversions working. I tried tweaking flags for both a bit as well to see how stable they were. Zig's memory usage was pretty constant. Nim had a small speed vs memory tradeoff that could be tweak-able, but the defaults used the least memory.
Overall I'd expect exact memory usage by language(s) to vary some by benchmark and one random benchmark isn't conclusive. Still I didn't find anything to indicate Zig is clearly better than other new generation languages. Manual memory management might actually be worse than letting a compiler manage it in some cases.
1: https://github.com/kostya/benchmarks/tree/master/brainfuck
* MultiArrayList is convenient and easy to do in Rust, D, Nim. Odin seems built around it. * Arbitrary bit-size integers seem more gimmicky than anything and similar to struct bitfields in other languages (except Rust oddly). Most compilers don't even pack uint8/uint16's for performance reasons. * Special purpose allocators are a bit more interesting. Still they don't provide actual memory safety AFAICT and can have fragmentation and performance penalties.
It'll be interesting to see larger Zig code bases emerge in different fields and see how the memory footprint compares in practice.