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<h1>Screenshots</h1>
<p>
Because Hoard is a transparent plug-in replacement, ordinary
screenshots don't make much sense, since the applications look and
work the same! However, it's easy to visualize Hoard's impact on
application performance. Here are a few example speedup
graphs. Ideally, the speedup as the number of processors increases
is a straight diagonal line going from the lower left of each graph
to the upper right. These benchmarks compare Hoard to Ptmalloc (the
Linux allocator), mtmalloc version 8, and the Solaris default
allocator, and are run on a 14-processor Sun.
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<img alt="Threadtest graph" src="images/plot-threadtest-speedup.gif">
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<p>
This benchmark has multiple threads, each allocating and freeing
objects. It stresses raw scalability of allocation in individual
threads. In this case, Hoard achieves a linear speedup. Ptmalloc
scales to four processors but then runs out of steam.
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<img alt="Larson graph" src="images/plot-larson-speedup.gif">
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<p>
In this benchmark, multiple threads allocate objects and pass some
objects to other threads that free them. This stresses the ability
of the memory manager to handle object sharing. Only Hoard scales
for this case.
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<img alt="Cache-scratch graph" src="images/plot-cache-scratch-speedup.gif">
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<p>
A test of whether a memory manager avoids causing false sharing of
cache lines (an insidious effect that destroys scalability). The
linear speedup shows that Hoard avoids false sharing completely.
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Copyright © 2005 Emery Berger.</div>
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