thanks I have readed and tried but in my case the code evaluated has 156 levels and is very slow to represent the figure and to see the diferent levels.

regards,
j

@Juli – thanks for sharing. Read my followup post about the profile_history utility.

I tried this code with an very large project I have and regarding the code:

offset = cumsum(1-2*history(1,:)) - 1;  % calling depth
entryIdx = history(1,:)==1;     % history items of function entries
funcIdx = history(2,entryIdx);  % indexes of relevant functions
funcNames = {profData.FunctionTable(funcIdx).FunctionName};
for idx = 1: length(funcNames);
   disp([repmat(' ',1,offset(idx)) funcNames{idx}]);
end

for some reason the line funcNames = {profData.FunctionTable(funcIdx).FunctionName}; is extremely slow and this workaround is faster:

for idx = 1:length(funcIdx);
    fprintf([repmat(' ',1,offset(idx)) profData.FunctionTable(funcIdx(idx)).FunctionName '\n']);
end