[Beowulf] Moores Law is dying
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Jon Forrest jlforrest at berkeley.eduTue Apr 14 13:27:52 PDT 2009
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Robert G. Brown wrote: > Are you > suggesting that e.g. a long-running program with fully unrolled loops > cannot exceed 4 GB in size and still be "simple"? Unrolled loops probably add only a few percent to the text size of a program. I admittedly don't have any data to prove this but try to imagine a case in which a standard compiler would do enough loop unrolling to add significant size to a program. As I understand it, loop unrolling is only used in certain cases, and the size of the unrolled loops themselves can't be too large, otherwise any benefits from the unrolling evaporate. > Are you suggesting > that compilers will never try to unroll code at that level, even when > enormous memory systems are commonplace? Again, the enormous memory systems you mention consist mostly of enormous amounts of data, not text. > Are you suggesting that even > when concatenated, the space of all possibly functional operational > phonemes in computational semantics cannot fill a 4 GB dictionary? I'm not sure what you mean by "functional operational phonemes" but to me that means some sort of data, which again, is not what I'm talking about. > Another such program is "the operating system" especially a multitasking > operating system. There is no real bound on the number of threads an > operating system can run, True, but somebody still has to write the threads. > and "the program" being run on a multitasking > operating system is the union of all "sub" programs being run on the > system, with or without shared libraries (sharing is expensive in > performance, remember -- we do it to save memory because it is a scarce > resource). Why is sharing expensive in performance? It might take a little overhead to setup and manage, but why is having multiple virtual addresses map to the same physical memory expensive? > Clearly that can and does exceed 4 GB, even routinely on a > heavily loaded server and we'd do it a lot more often without shared > libraries. Really? Show me one case where this is true. Again, remember, I'm only talking about program text. > And there MAY be new compilers that are a lot more > generous in their usage of space than they are now. There may be > new-gen RISC-y processors that use far more instructions to do things > that are currently done with fewer ones. Is your observation > Intel-arch-only? I did my test for both Alpha OSF/1 a while back, and modern Intel x86. Cordially, -- Jon Forrest Research Computing Support College of Chemistry 173 Tan Hall University of California Berkeley Berkeley, CA 94720-1460 510-643-1032 jlforrest at berkeley.edu
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