YMMV but for my Python web app executing mostly OO Python 2.5.x code, I got a 10... | Hacker News

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		Erwin on Jan 4, 2011 \| parent \| context \| favorite \| on: Scalable memory allocation using jemalloc YMMV but for my Python web app executing mostly OO Python 2.5.x code, I got a 10% performance increase by using jemalloc compared to the malloc in RHEL 5. It's as simply as LD_PRELOAD=/path/to/libjemalloc.so -- memory usage is also better (millions of objects allocated than eventually released in a long running process ended up with smaller amount of memory used when using jemalloc).

ot on Jan 4, 2011 [–]

This is kind of surprising given that CPython uses its own ad-hoc allocator (see http://docs.python.org/release/2.3.5/whatsnew/section-pymall...) which resorts to malloc() only for large chunks of memory and buffers... I wonder what's happening there.

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