function times = bench(count)
%BENCH  MATLAB Benchmark
%   BENCH times six different MATLAB tasks and compares the execution
%   speed with the speed of several other computers.  The six tasks are:
%   
%    LU       LAPACK, n = 1000.        Floating point, regular memory access.
%    FFT      Fast Fourier Transform.  Floating point, irregular memory access.
%    ODE      Ordinary diff. eqn.      Data structures and M-files.
%    Sparse   Solve sparse system.     Mixed integer and floating point.
%    2-D      plot(fft(eye)).          2-D line drawing graphics.
%    3-D      MathWorks logo.          3-D animated OpenGL graphics.
%
%   A final bar chart shows speed, which is inversely proportional to 
%   time.  Here, longer bars are faster machines, shorter bars are slower.
%
%   BENCH runs each of the six tasks once.
%   BENCH(N) runs each of the six tasks N times.
%   BENCH(0) just displays the results from other machines.
%   T = BENCH(N) returns an N-by-6 array with the execution times.
%
%   The comparison data for other computers is stored in a text file:
%     .../toolbox/matlab/demos/bench.dat
%   Updated versions of this file are available from MATLAB Central:
%     http://www.mathworks.com/matlabcentral/fileexchange/loadFile.do
%     ?objectId=1836&objectType=file#
%
%   Fluctuations of five or 10 percent in the measured times of repeated
%   runs on a single machine are not uncommon.  Your own mileage may vary.
%
%   This benchmark is intended to compare performance of one particular
%   version of MATLAB on different machines.  It does not offer direct
%   comparisons between different versions of MATLAB.  The tasks and 
%   problem sizes change from version to version.
%
%   The LU and FFT tasks involve large matrices and long vectors.
%   Machines with less than 64 megabytes of physical memory or without
%   optimized Basic Linear Algebra Subprograms may show poor performance.
%
%   The 2-D and 3-D tasks measure graphics performance, including software
%   or hardware support for OpenGL.  The command
%      opengl info
%   describes the OpenGL support available on a particular machine.
   
%   Copyright 1984-2004 The MathWorks, Inc.
%   $Revision: 5.37.4.11 $  $Date: 2004/12/20 16:44:36 $

if nargin < 1, count = 1; end;
times = zeros(count,6);
fig1 = figure;
set(fig1,'pos','default','menubar','none','numbertitle','off', ...
   'name','MATLAB Benchmark')
axes('pos',[0 0 1 1])
axis off
%text(.5,.5,'MATLAB Benchmark','horizontal','center','fontsize',18)
text(.5,.6,'MATLAB Benchmark','horizontal','center','fontsize',18)
task = text(.50,.42, '',...
  'horizontal','center','fontsize',18);
drawnow
pause(1);

for k = 1:count

   % LU, n = 1000.
   
   set(task,'string','LU')
   drawnow
   lu(0);
   n = 1000;
   randn('state',0);
   A = randn(n,n);
   X = A; %#ok Used to preallocate X
   clear X
   tic
      X = lu(A); %#ok Result not used -- strictly for timing
   times(k,1) = toc;
   clear A
   clear X
   
   % FFT, n = 2^20.  Do it twice to roughly match LU time.
   
   set(task,'string','FFT')
   drawnow
   fft(0);
   n = 2^20;
   y = ones(1,n)+i*ones(1,n); %#ok Used to preallocate y
   clear y
   randn('state',1);
   x = randn(1,n);
   tic
      y = fft(x); %#ok Result not used -- strictly for timing
      clear y
      y = fft(x); %#ok Result not used -- strictly for timing
   times(k,2) = toc;
   clear x
   clear y
   
   % ODE. van der Pol equation, mu = 1
   
   set(task,'string','ODE')
   drawnow
   F = @vdp1;
   y0 = [2; 0];
   tspan = [0 eps];
   [s,y] = ode45(F,tspan,y0); %#ok Used to preallocate s and y
   tspan = [0 400];
   tic
      [s,y] = ode45(F,tspan,y0); %#ok Results not used -- strictly for timing
   times(k,3) = toc;
   clear s y
   
   % Sparse linear equations
   
   set(task,'string','Sparse')
   drawnow
   n = 120;
   A = delsq(numgrid('L',n));
   b = sum(A)';
   s = spparms;
   spparms('autommd',0);
   tic
      x = A\b; %#ok Result not used -- strictly for timing
   times(k,4) = toc;
   spparms(s);
   clear A b

   % 2-D graphics
   
   set(task,'string','2-D')
   drawnow
   pause(1)
   hh = figure('doublebuffer','on');
   x = (0:1/256:1)';
   plot(x,bernstein(x,0))
   drawnow
   tic
      for j = 1:2
         for n = [1:12 11:-1:2]
            plot(x,bernstein(x,n))
            drawnow
         end
      end
   times(k,5) = toc;
   close(hh)

   % 3-D graphics. Vibrating logo.
   % Gouraud lighting allows smooth motion with OpenGL.
   
   set(task,'string','3-D')
   drawnow
   pause(1)
   logoFig=figure;
   logo
   set(logoFig,'color',[.8 .8 .8])
   s = findobj(logoFig, 'type','surf', 'tag', 'TheMathWorksLogo');
   set(s,'facelighting','gouraud')
   L1 = 40*membrane(1,25);
   L2 = 10*membrane(2,25);
   L3 = 10*membrane(3,25);
   mu = sqrt([9.6397238445, 15.19725192, 2*pi^2]);
   n = 40;
   tic
   for j = 0:n
      t = 0.5*(1-j/n);
      L = cos(mu(1)*t)*L1 + sin(mu(2)*t)*L2 + sin(mu(3)*t)*L3;
      set(s,'zdata',L)
      drawnow
   end
   times(k,6) = toc;
   pause(1)
   close(logoFig)
   
end  % loop on k
   
% Compare with other machines.  Get latest data file, bench.dat, from
% MATLAB Central at the URL 

if exist('bench.dat','file') ~= 2
   warning('Comparison data in file matlab/demos/bench.dat not available.')
   return
end
fp = fopen('bench.dat');

% Skip over headings in first six lines.
for k = 1:6
   fgetl(fp);
end

% Read the comparison data

specs = {};
T = [];
details = {};
g = fgetl(fp);
m = 0;
while length(g) > 1
   m = m+1;
   specs{m} = g(1:31);
   T(m,:) = sscanf(g(32:end),'%f')';
   details{m} = fgetl(fp);
   g = fgetl(fp);
end

% Close the data file
fclose(fp);

% Add the current machine and sort

T = [T; times];
this = [zeros(m,1); ones(count,1)];
for k = m+1:m+count
   specs{k} = 'This machine                  ';
   details{k} = ['It''s your machine running MATLAB ' version];
end
m = m+count;

totals = sum(T')';
speeds = 100./totals;
[speeds,k] = sort(speeds);
specs = specs(k);
details = details(k);
T = T(k,:);
this = this(k);

% Horizontal bar chart. Highlight this machine with another color.

figure(fig1)
clf
axes('position',[.35 .1 .55 .8])
barh(speeds.*(1-this),'y')
hold on
barh(speeds.*this,'m')
set(gca,'xlim',[0 max(speeds)+.1],'xtick',0:2:max(speeds))
title('Relative Speed')
axis([0 max(speeds)+.1 0 m+1])
set(gca,'ytick',1:m)
set(gca,'yticklabel',specs,'fontsize',9)

% Display report in second figure
fig2 = figure('pos',get(fig1,'pos')+[50 -150 50 0], 'menubar','none', ...
   'numbertitle','off','name','MATLAB Benchmark');

% Defining layout constants - change to adjust 'look and feel'
% The names of the tests
TestNames = {'LU', 'FFT', 'ODE', 'Sparse', '2-D', '3-D'};
% Number of test columns
NumTests = size(TestNames, 2);
NumRows = m+1;      % Total number of rows - header (1) + number of results (m)
TopMargin = 0.05; % Margin between top of figure and title row
BotMargin = 0.20; % Margin between last test row and bottom of figure
LftMargin = 0.03; % Margin between left side of figure and Computer Name
RgtMargin = 0.03; % Margin between last test column and right side of figure
CNWidth = 0.350;  % Width of Computer Name column
MidMargin = 0.03; % Margin between Computer Name column and first test column
HBetween = 0.025; % Distance between two rows of tests
WBetween = 0.015; % Distance between two columns of tests
% Width of each test column
TestWidth = (1-LftMargin-CNWidth-MidMargin-RgtMargin-(NumTests-1)*WBetween)/NumTests;
% Height of each test row
RowHeight = (1-TopMargin-(NumRows-1)*HBetween-BotMargin)/NumRows;
% Beginning of first test column
BeginTestCol = LftMargin+CNWidth+MidMargin;
% Retrieve the background color for the figure
bc = get(fig2,'Color');

% Create headers

% Computer Name column header
uicontrol('Style', 'text', 'Units', 'normalized', ...
    'Position', [LftMargin 1-TopMargin-RowHeight CNWidth RowHeight],...
    'String', 'Computer Name', 'BackgroundColor', bc, 'Tag', 'Computer_Name','FontWeight','bold');

% Test name column header
for k=1:NumTests
uicontrol('Style', 'text', 'Units', 'normalized', ...
    'Position', [BeginTestCol+(k-1)*(WBetween+TestWidth) 1-TopMargin-RowHeight TestWidth RowHeight],...
    'String', TestNames{k}, 'BackgroundColor', bc, 'Tag', TestNames{k}, 'FontWeight', 'bold');
end
% For each computer
for k=1:NumRows-1
    VertPos = 1-TopMargin-k*(RowHeight+HBetween)-RowHeight;
    % Computer Name row header
    uicontrol('Style', 'text', 'Units', 'normalized', ...
        'Position', [LftMargin VertPos CNWidth RowHeight],...
        'String', specs{NumRows-k}, 'BackgroundColor', bc, 'Tag', specs{NumRows-k},...
        'TooltipString', details{NumRows-k}, 'HorizontalAlignment', 'left');
    % Test results for that computer
    for n=1:NumTests
        uicontrol('Style', 'text', 'Units', 'normalized', ...
    'Position', [BeginTestCol+(n-1)*(WBetween+TestWidth) VertPos TestWidth RowHeight],...
    'String', sprintf('%.4f',T(NumRows-k, n)), 'BackgroundColor', bc, 'Tag', sprintf('Test_%d_%d',NumRows-k,n));
    end
end

% Warning text
uicontrol('Style', 'text', 'Units', 'normalized', ...
    'Position', [0.01 0.01 0.98 BotMargin-0.02], 'BackgroundColor', bc, 'Tag', 'Disclaimer', ...
    'String', sprintf('%s\n%s\n%s','Place the cursor near a computer name for system and version details.  Before using', ...
    'this data to compare different versions of MATLAB, or to download an updated timing data file,',...
    'see the help for the bench function by typing ''help bench'' at the MATLAB prompt.'));

% ----------------------------------------------- %

function B = bernstein(x,n)
% BERNSTEIN  Generate Bernstein polynomials.
% B = bernstein(x,n) is a length(x)-by-n+1 matrix whose columns
% are the Bernstein polynomials of degree n evaluated at x,
% B_sub_k(x) = nchoosek(n,k)*x.^k.*(1-x).^(n-k), k = 0:n.

x = x(:);
B = zeros(length(x),n+1);
B(:,1) = 1;
for k = 2:n+1
   B(:,k) = x.*B(:,k-1);
   for j = k-1:-1:2
      B(:,j) = x.*B(:,j-1) + (1-x).*B(:,j);
   end
   B(:,1) = (1-x).*B(:,1);
end