Update manual to reflect removal of global huge object tree.
This resolves #323.
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@ -518,23 +518,18 @@ for (i = 0; i < nbins; i++) {
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common case, but it increases memory usage and fragmentation, since a
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bounded number of objects can remain allocated in each thread cache.</para>
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<para>Memory is conceptually broken into equal-sized chunks, where the
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chunk size is a power of two that is greater than the page size. Chunks
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are always aligned to multiples of the chunk size. This alignment makes it
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possible to find metadata for user objects very quickly.</para>
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<para>User objects are broken into three categories according to size:
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small, large, and huge. Small and large objects are managed entirely by
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arenas; huge objects are additionally aggregated in a single data structure
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that is shared by all threads. Huge objects are typically used by
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applications infrequently enough that this single data structure is not a
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scalability issue.</para>
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<para>Each chunk that is managed by an arena tracks its contents as runs of
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<para>Memory is conceptually broken into equal-sized chunks, where the chunk
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size is a power of two that is greater than the page size. Chunks are
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always aligned to multiples of the chunk size. This alignment makes it
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possible to find metadata for user objects very quickly. User objects are
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broken into three categories according to size: small, large, and huge.
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Multiple small and large objects can reside within a single chunk, whereas
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huge objects each have one or more chunks backing them. Each chunk that
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contains small and/or large objects tracks its contents as runs of
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contiguous pages (unused, backing a set of small objects, or backing one
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large object). The combination of chunk alignment and chunk page maps
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makes it possible to determine all metadata regarding small and large
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allocations in constant time.</para>
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large object). The combination of chunk alignment and chunk page maps makes
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it possible to determine all metadata regarding small and large allocations
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in constant time.</para>
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<para>Small objects are managed in groups by page runs. Each run maintains
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a bitmap to track which regions are in use. Allocation requests that are no
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