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Home/ Questions/Q 4039090
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Editorial Team
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Editorial Team
Asked: May 20, 20262026-05-20T12:33:35+00:00 2026-05-20T12:33:35+00:00

I’m trying to profile my program. So I compile it with -prof and -auto-all

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I’m trying to profile my program. So I compile it with -prof and -auto-all flags and run with -P to get detailed profiling report:

$ ghc --make -prof -auto-all Test.hs
$ ./Test +RTS -P

Here is a piece of profiling report:

COST CENTRE              MODULE  no.    entries  %time %alloc

  main                   Main   266           1   0.0    0.0
   run                   Main   273       21845  99.3   99.7
    sz                   Main   274       21844   0.0    0.0
   size                  Main   268       21845   0.7    0.3

It seems that run consumes all time and memory. It calls a lot of functions from various libraries, and I’m quite sure that most time is spent in one of them, but I can’t figure in which one.
How can I get more detailed report? I hope that putting lots of SCC annotations manually is not the only way.

Update. For now I “solved” the problem by copying sources of libraries to my program directory. This allows GHC to treat them as part of program, not as external libraries.

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  1. Editorial Team
    Editorial Team
    2026-05-20T12:33:36+00:00Added an answer on May 20, 2026 at 12:33 pm

    It’s a gprof-type profiler – pretty weak, for these reasons.

    You can use GHCi to find performance issues the same way you would find infinite loops, by this technique in this manner:

    6.3 Infinite loops On glasgow-haskell-users on 21 Nov 2007,
    pepe made the following suggestion for
    detecting the cause infinite loops in
    GHCi. Assuming the offending function
    is named loop, and takes one
    argument:

    1.enable the flag -fbreak-on-error (:set -fbreak-on-error in GHCi)

    2.run your expression with :trace (:trace loop 'a')

    3.hit Ctrl-C while your program is stuck in the loop to have the debugger break in the loop

    4.use :history and :back to find out where the loop is located and why.

    The only difference between any performance problem and an infinite loop is – infinite loops waste 100% of the time, while performance problems waste a lesser percent.
    So you might have to break into it a few times.

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