[Python-Dev] The untuned tunable parameter ARENA_SIZE

2017年6月01日 00:41:26 -0700

When CPython's small block allocator was first merged in late February 2001, it allocated memory in gigantic chunks it called "arenas". These arenas were a massive 256 KILOBYTES apiece. This tunable parameter has not been touched in the intervening 16 years. Yet CPython's memory consumption continues to grow. By the time a current "trunk" build of CPython reaches the REPL prompt it's already allocated 16 arenas. I propose we make the arena size larger. By how much? I asked Victor to run some benchmarks with arenas of 1mb, 2mb, and 4mb. The results with 1mb and 2mb were mixed, but his benchmarks with a 4mb arena size showed measurable (>5%) speedups on ten benchmarks and no slowdowns.
What would be the result of making the arena size 4mb?
 * CPython could no longer run on a computer where at startup it could
 not allocate at least one 4mb continguous block of memory.
 * CPython programs would die slightly sooner in out-of-memory conditions.
 * CPython programs would use more memory. How much? Hard to say. It
 depends on their allocation strategy. I suspect most of the time it
 would be < 3mb additional memory. But for pathological allocation
 strategies the difference could be significant. (e.g: lots of
 allocs, followed by lots of frees, but the occasional object lives
 forever, which means that the arena it's in can never be freed. If
 1 out of ever 16 256k arenas is kept alive this way, and the objects
 are spaced out precisely such that now it's 1 for every 4mb arena,
 max memory use would be the same but later stable memory use would
 hypothetically be 16x current)
 * Many programs would be slightly faster now and then, simply because
 we call malloc() 1/16 as often.
What say you? Vote for your favorite color of bikeshed now!
//arry/
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