mirror of https://github.com/python/cpython
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README
What is this? ------------- This package is a memory allocator for the Macintosh. It was initially implemented for use with the MetroWerks CodeWarrior compiler on the PowerPC Mac, but may also be useful (in a more limited way) for use with MW 68K or Think compilers. This is distribution 1.0, dated April 19, 1995. How does it work? ----------------- Actually, 99% of the code comes straight from the old old BSD-unix "fast malloc", only the interface to the low-level memory allocator and the handling of large blocks is different. The allocator follows one of two strategies, based upon block size: - for small blocks (anything up to 8K, as distributed), the size is rounded up to the next power of two, and that much is allocated. Realloc, etc. understand about this. Small blocks are packed into 8K segments. - Larger blocks are allocated directly using NewPtr(). Why should I want it? --------------------- The reason for writing this is that I've had serious problems with MW malloc, especially in one piece of software, the Python interpreter. Python is a very-high level interpreted language, and spends very large amounts of time in malloc. Moreover, it reallocs() like there's no tomorrow, and allocates and frees tiny and huge blocks intermixedly. After some time running, this caused two things (using the original MW malloc): memory useage grew exponentially and so did runtime. MetroWerks have tried to be helpful, but I have been unable to provide them with simple sample-programs that showed the problem: it seems to be something to do with fragmentation and only happens under very heavy use. The 68K MW malloc has the same problems, and the Think C malloc has a similar one: it shows the same growth problem but not the increase in runtime. Two additional reasons for using it: - It is blindingly fast. - It has pretty good range checking and such (enabled with a #define), so it'll help you catch various programming errors like referencing outside the bounds of the malloced block. One reason for not using it: - It is rather wasteful of memory. Small blocks, on average, occupy 25% more memory than they need, and the allocation in 8K chunks wastes another 50K (on average). Also, memory is never returned from malloc()s pool to the Memory Manager. How do I use it? ---------------- For MW PPC: simply add the sources to your project. Due to the way the linker works all mallocs will use the new malloc, even the malloc calls that come from the libraries (if I'm informaed correctly). For MW 68K: ditto, only supposedly the library malloc calls will still use the original malloc. The two packages don't bite each other, however, so there shouldn't be any problems. For Think: more work, but you can rebuild the ANSI library with this malloc, since the Think distribution contains everything you need for this. Is that all? ------------ Yes. Let me finish off by asking that you send bug reports, fixes, enhancement, etc to me at the address below. Jack Jansen Centrum voor Wiskunde en Informatica Kruislaan 413 1098 SJ Amsterdam the Netherlands <Jack.Jansen@cwi.nl>