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> > 1. Does this sound like a reasonable approach to take? Is there any > > easier way to get the information that I'm looking for? > > Use valgrind. Thanks, I already do, but only for debugging (and it works wonderfully, btw). I'm trying to set up an automated system to collect time and heap profiles that runs all of the time (the heap profiling only happens when compiling our program in debug mode though, which is common for development). An example of the output generated is: .... ---User Time--- --System Time-- --User+System-- ---Wall Time--- ---Mem--- --- Name --- 0.6800 ( 50.0%) 0.0000 ( 0.0%) 0.6800 ( 49.3%) 0.7023 ( 50.3%) 696312 Top-down Data Structure Analysis 0.3000 ( 22.1%) 0.0000 ( 0.0%) 0.3000 ( 21.7%) 0.2994 ( 21.4%) 215128 Bottom-up Data Structure Analysis 0.2500 ( 18.4%) 0.0200 (100.0%) 0.2700 ( 19.6%) 0.2652 ( 19.0%) 0 Module Printer 0.1100 ( 8.1%) 0.0000 ( 0.0%) 0.1100 ( 8.0%) 0.1134 ( 8.1%) 126944 Local Data Structure Analysis 0.0200 ( 1.5%) 0.0000 ( 0.0%) 0.0200 ( 1.4%) 0.0086 ( 0.6%) 17112 Dominator Set Construction 0.0000 ( 0.0%) 0.0000 ( 0.0%) 0.0000 ( 0.0%) 0.0081 ( 0.6%) 0 Module Verifier 1.3600 (100.0%) 0.0200 (100.0%) 1.3800 (100.0%) 1.3970 (100.0%) 1055496 TOTAL The actual timing numbers don't mean anything because this is a debug build with lots of assertions, but it should give you some idea of what I'm trying to accomplish. The heap size numbers are computed using mallinfo, as suggested by Roland McGrath. They are sampled to determine the amount of memory used to represent the analysis results for the various analyses run. The only thing I remain concerned about is whether using STL containers will artificially inflate the numbers that I'm seeing. If I use STL maps, for example, aren't the tree nodes pool allocated? -Chris -- http://llvm.cs.uiuc.edu/ http://www.nondot.org/~sabre/Projects/
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