Jan Wedel wrote: > Hi Anto! > > Thanks for your answer. Hi Jan, (I'm cc-ing pypy-dev again)
> Although it's now made by Sun, it shows the key points: > - No class loading > - No JNI > - No reflection > > Which means you cannot load dynamic code during run-time. On top, there > are a lot of libraries missing (XML parsing, Regex, logging...) so far pypy-jvm doesn't use any of those, so it should not be a problem. However, in the future reflection will be surely needed to access java libraries (but you don't seem to be interested in it) and class loading for the jit. > THAT might be a problem since we are working on memory constrained > systems with a maximum of a few MB of flash and approx. 200kB RAM. Are > there any estimations about the RAM usage of PyPy using classes and > other memory-consuming features? I think that 200kB are definitely not enough for pypy-jvm. I don't know for sure how to measure memory usage of java programs, but if I just launch pypy-jvm and measure the amount of memory used on linux, I get something like ~400 MB: this also includes the overhead of the jvm itself, but it's still a lot. > And is this 8-10MB including only the core interpreter? Or are there any > ways to strip it down by excluding unnecessary libs? it includes the core interpreter and the builtin modules; some of them can be stripped down, but I don't know how much you can save. > I didn't make myself clear. I meant python libs/modules. E.g. sys, > socket, sre etc... Because if these modules are supported I won't need a > lot of Java Libraries. As I explained, I already ported PyMite to Java > and I discovered that numerous python modules have a C counterpart such > as _socket, _sre etc. So If you want to run these libs, you need to > translate these C files. ah, now I understand. This is the complete list of builtin modules that are enabled for pypy-jvm: [translation] [usemodules] [translation] __pypy__ = True [translation] _ast = True [translation] _codecs = True [translation] _pickle_support = True [translation] _random = True [translation] _sre = True [translation] _testing = True [translation] _weakref = True [translation] cStringIO = True [translation] errno = True [translation] gc = True [translation] itertools = True [translation] marshal = True [translation] math = True [translation] md5 = True [translation] operator = True [translation] parser = True [translation] posix = True [translation] rbench = True [translation] sha = True [translation] symbol = True [translation] time = True [translation] token = True As you can see, _socket is missing. It's surely possible to write a version of it that works for the jvm, but as usual it takes some time and nobody cared enough to implement it. ciao, Anto _______________________________________________ pypy-dev@codespeak.net http://codespeak.net/mailman/listinfo/pypy-dev