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Flame graph visualization for Octave's profiler output.
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| function flamegraph(profdata) | |
| ### project: flamegraph | |
| ### authors: Christian Himpe (0000-0003-2194-6754) | |
| ### version: 0.3 (2021-02-06) | |
| ### license: BSD-2-Clause (opensource.org/licenses/BSD-2-Clause) | |
| ### summary: Flame graph visualization for Octave's profiler output. | |
| # | |
| # USAGE: | |
| # | |
| # profile on; | |
| # mycode; | |
| # profile off; | |
| # profdata = profile("info"); | |
| # flamegraph(profdata); | |
| # | |
| # DESCRIPTION: | |
| # | |
| # Simple recursive implementation of the flame graph visualization of | |
| # profile analysis and statistics for Octave >= 4.2. | |
| # | |
| # Based on the flame graph profile visualization by Brendan Gregg, see: | |
| # http://www.brendangregg.com/flamegraphs.html for further details and: | |
| # | |
| # B. Gregg. "The Flame Graph", ACM Queue (Cloud Debugging) 14(2): 1--28, 2016. | |
| # doi:10.1145/2927299.2927301 | |
| # | |
| # NOTE: | |
| # | |
| # This function is designed specficially for the profiler output of GNU Octave | |
| # and is incompatible with the Mathworks MATLAB profiler output. | |
| # | |
| # TODO: | |
| # | |
| # * Text is overlapping for thin flames. | |
| # * Why does gnuplot work better than fltk backend (set via graphics_toolkit)? | |
| # | |
| # KEYWORDS: runtime, stacktrace, profile, performance, optimization | |
| depth = tree_depth(profdata.Hierarchical); | |
| cmap = hot(depth); | |
| ftable = {profdata.FunctionTable.FunctionName}; | |
| function l = dissect(tree,start,width,level) | |
| subtree = {tree.Children}; | |
| reldur = cell2mat({tree.TotalTime}); | |
| seldur = cell2mat({tree.SelfTime}); | |
| totdur = sum(reldur); | |
| reldur /= totdur; | |
| seldur /= totdur; | |
| reldur *= width; | |
| seldur *= width; | |
| fmap = {tree.Index}; | |
| [~,ind] = sort(reldur,'descend'); | |
| for k = ind | |
| patch(start + reldur(k) .* [0, 1, 1, 0], ... | |
| (level + [-1, -1, 0, 0])./depth, ... | |
| 'FaceColor',cmap(level,:)); | |
| text(start+0.5*reldur(k), ... | |
| (level-0.5)/depth, ... | |
| strrep(ftable{fmap{k}},"__",""), ... | |
| 'Color','blue'); | |
| dissect(subtree{k},start+0.5*seldur(k),reldur(k)-seldur(k),level+1); | |
| start += reldur(k); | |
| endfor | |
| endfunction | |
| figure; | |
| axis off; | |
| dissect(profdata.Hierarchical,0.01,0.98,1); | |
| endfunction | |
| function depth = tree_depth(tree,accum) | |
| if 1 == nargin | |
| accum = 0; | |
| endif | |
| subtree = {tree.Children}; | |
| if 0 == numel(subtree) | |
| depth = accum; | |
| else | |
| depth = max(cellfun(@(k) tree_depth(k,accum + 1),subtree)); | |
| endif | |
| endfunction |
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