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<p>Track performance changes in the latest revisions</p>
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</div>
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</a>
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<ahref="{% url "timeline" %}">
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<divid="timeline" class="menubox">
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<h2>Timeline</h2>
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<p>Analyze performance over time</p>
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</div>
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</a>
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<ahref="{% url "comparison" %}">
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<divid="comparison" class="menubox">
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<h2>Comparison</h2>
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<p>Compare different executables and revisions</p>
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</div>
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</a>
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<br/>
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<divid="reports"></div>
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<ahref="{% url "changes" %}">
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<divid="changes" class="menubox">
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<h2>Changes</h2>
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<p>Track performance changes in the latest revisions</p>
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</div>
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</a>
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<ahref="{% url "timeline" %}">
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<divid="timeline" class="menubox">
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<h2>Timeline</h2>
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<p>Analyze performance over time</p>
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</div>
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</a>
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<ahref="{% url "comparison" %}">
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<divid="comparison" class="menubox">
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<h2>Comparison</h2>
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<p>Compare different executables and revisions</p>
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</div>
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</a>
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<br/>
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<divid="reports"></div>
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{% if show_historical %}
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<divid="historical">
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<h3>How fast is {{ default_exe.project }}?</h3>
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<divid="baseline-comparison-plot"></div>
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<pclass="plot-caption">Plot 1: The above plot represents {{ default_exe.project }} ({{ default_exe }}) benchmark times normalized to {{ baseline }}. Smaller is better.</p>
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<p>It depends greatly on the type of task being performed. The geometric average of all benchmarks is <spanid="geomean"></span> or <strongid="geofaster"></strong> times <em>faster</em> than {{ baseline }}</p>
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<h3>How has {{ default_exe.project }} performance evolved over time?</h3>
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<divid="historical-plot"></div>
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<pclass="plot-caption">Plot 2: Speedup compared to {{ baseline }}, using the inverse of the geometric average of normalized times, out of <spanid="num_of_benchs"></span> benchmarks (see <ahref="http://dl.acm.org/citation.cfm?id=5673" title="How not to lie with statistics: the correct way to summarize benchmark results">paper</a> on why the geometric mean is better for normalized results).</p>
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