RunBenchmark.py 文件源码

def plotSpeedupFigure(AllInfo, maxWorker=1, **kwargs):
    pylab.figure(2)
    xs = AllInfo['nWorker']
    ts_mono = AllInfo['t_monolithic']

    xgrid = np.linspace(0, maxWorker + 0.1, 100)
    pylab.plot(xgrid, xgrid, 'y--', label='ideal parallel')

    for method in getMethodNames(**kwargs):
        speedupRatio = ts_mono / AllInfo['t_' + method]
        pylab.plot(xs, speedupRatio, 'o-',
                   label=method,
                   color=ColorMap[method],
                   markeredgecolor=ColorMap[method])

    pylab.xlim([-0.2, maxWorker + 0.5])
    pylab.ylim([0, maxWorker + 0.5])
    pylab.legend(loc='upper left')
    pylab.xlabel('Number of Workers')
    pylab.ylabel('Speedup over Monolithic')

    if kwargs['savefig']:
        title = 'BenchmarkPlot_%s_%s_minDur=%.2f_Speedup.eps'\
            % (platform.node(), kwargs['task'], kwargs['minSliceDuration'])
        pylab.savefig(title,
                      format='eps',
                      bbox_inches='tight',
                      pad_inches=0)