+<p>Set-like containers are useful when you need to canonicalize multiple values
+into a single representation. There are several different choices for how to do
+this, providing various trade-offs.</p>
+
+</div>
+
+
+<!-- _______________________________________________________________________ -->
+<div class="doc_subsubsection">
+ <a name="dss_sortedvectorset">A sorted 'vector'</a>
+</div>
+
+<div class="doc_text">
+
+<p>If you intend to insert a lot of elements, then do a lot of queries, a
+great approach is to use a vector (or other sequential container) with
+std::sort+std::unique to remove duplicates. This approach works really well if
+your usage pattern has these two distinct phases (insert then query), and can be
+coupled with a good choice of <a href="#ds_sequential">sequential container</a>.
+</p>
+
+<p>
+This combination provides the several nice properties: the result data is
+contiguous in memory (good for cache locality), has few allocations, is easy to
+address (iterators in the final vector are just indices or pointers), and can be
+efficiently queried with a standard binary or radix search.</p>
+
+</div>
+
+<!-- _______________________________________________________________________ -->
+<div class="doc_subsubsection">
+ <a name="dss_smallset">"llvm/ADT/SmallSet.h"</a>
+</div>
+
+<div class="doc_text">
+
+<p>If you have a set-like data structure that is usually small and whose elements
+are reasonably small, a <tt>SmallSet<Type, N></tt> is a good choice. This set
+has space for N elements in place (thus, if the set is dynamically smaller than
+N, no malloc traffic is required) and accesses them with a simple linear search.
+When the set grows beyond 'N' elements, it allocates a more expensive representation that
+guarantees efficient access (for most types, it falls back to std::set, but for
+pointers it uses something far better, <a
+href="#dss_smallptrset">SmallPtrSet</a>).</p>
+
+<p>The magic of this class is that it handles small sets extremely efficiently,
+but gracefully handles extremely large sets without loss of efficiency. The
+drawback is that the interface is quite small: it supports insertion, queries
+and erasing, but does not support iteration.</p>
+
+</div>
+
+<!-- _______________________________________________________________________ -->
+<div class="doc_subsubsection">
+ <a name="dss_smallptrset">"llvm/ADT/SmallPtrSet.h"</a>
+</div>
+
+<div class="doc_text">
+
+<p>SmallPtrSet has all the advantages of SmallSet (and a SmallSet of pointers is
+transparently implemented with a SmallPtrSet), but also supports iterators. If
+more than 'N' insertions are performed, a single quadratically
+probed hash table is allocated and grows as needed, providing extremely
+efficient access (constant time insertion/deleting/queries with low constant
+factors) and is very stingy with malloc traffic.</p>
+
+<p>Note that, unlike std::set, the iterators of SmallPtrSet are invalidated
+whenever an insertion occurs. Also, the values visited by the iterators are not
+visited in sorted order.</p>
+
+</div>
+
+<!-- _______________________________________________________________________ -->
+<div class="doc_subsubsection">
+ <a name="dss_denseset">"llvm/ADT/DenseSet.h"</a>
+</div>
+
+<div class="doc_text">
+
+<p>
+DenseSet is a simple quadratically probed hash table. It excels at supporting
+small values: it uses a single allocation to hold all of the pairs that
+are currently inserted in the set. DenseSet is a great way to unique small
+values that are not simple pointers (use <a
+href="#dss_smallptrset">SmallPtrSet</a> for pointers). Note that DenseSet has
+the same requirements for the value type that <a
+href="#dss_densemap">DenseMap</a> has.
+</p>
+
+</div>
+
+<!-- _______________________________________________________________________ -->
+<div class="doc_subsubsection">
+ <a name="dss_FoldingSet">"llvm/ADT/FoldingSet.h"</a>
+</div>
+
+<div class="doc_text">
+
+<p>
+FoldingSet is an aggregate class that is really good at uniquing
+expensive-to-create or polymorphic objects. It is a combination of a chained
+hash table with intrusive links (uniqued objects are required to inherit from
+FoldingSetNode) that uses <a href="#dss_smallvector">SmallVector</a> as part of
+its ID process.</p>
+
+<p>Consider a case where you want to implement a "getOrCreateFoo" method for
+a complex object (for example, a node in the code generator). The client has a
+description of *what* it wants to generate (it knows the opcode and all the
+operands), but we don't want to 'new' a node, then try inserting it into a set
+only to find out it already exists, at which point we would have to delete it
+and return the node that already exists.
+</p>
+
+<p>To support this style of client, FoldingSet perform a query with a
+FoldingSetNodeID (which wraps SmallVector) that can be used to describe the
+element that we want to query for. The query either returns the element
+matching the ID or it returns an opaque ID that indicates where insertion should
+take place. Construction of the ID usually does not require heap traffic.</p>
+
+<p>Because FoldingSet uses intrusive links, it can support polymorphic objects
+in the set (for example, you can have SDNode instances mixed with LoadSDNodes).
+Because the elements are individually allocated, pointers to the elements are
+stable: inserting or removing elements does not invalidate any pointers to other
+elements.
+</p>
+
+</div>
+
+<!-- _______________________________________________________________________ -->
+<div class="doc_subsubsection">
+ <a name="dss_set"><set></a>
+</div>
+
+<div class="doc_text">
+
+<p><tt>std::set</tt> is a reasonable all-around set class, which is decent at
+many things but great at nothing. std::set allocates memory for each element
+inserted (thus it is very malloc intensive) and typically stores three pointers
+per element in the set (thus adding a large amount of per-element space
+overhead). It offers guaranteed log(n) performance, which is not particularly
+fast from a complexity standpoint (particularly if the elements of the set are
+expensive to compare, like strings), and has extremely high constant factors for
+lookup, insertion and removal.</p>
+
+<p>The advantages of std::set are that its iterators are stable (deleting or
+inserting an element from the set does not affect iterators or pointers to other
+elements) and that iteration over the set is guaranteed to be in sorted order.
+If the elements in the set are large, then the relative overhead of the pointers
+and malloc traffic is not a big deal, but if the elements of the set are small,
+std::set is almost never a good choice.</p>
+
+</div>
+
+<!-- _______________________________________________________________________ -->
+<div class="doc_subsubsection">
+ <a name="dss_setvector">"llvm/ADT/SetVector.h"</a>
+</div>
+
+<div class="doc_text">
+<p>LLVM's SetVector<Type> is an adapter class that combines your choice of
+a set-like container along with a <a href="#ds_sequential">Sequential
+Container</a>. The important property
+that this provides is efficient insertion with uniquing (duplicate elements are
+ignored) with iteration support. It implements this by inserting elements into
+both a set-like container and the sequential container, using the set-like
+container for uniquing and the sequential container for iteration.
+</p>
+
+<p>The difference between SetVector and other sets is that the order of
+iteration is guaranteed to match the order of insertion into the SetVector.
+This property is really important for things like sets of pointers. Because
+pointer values are non-deterministic (e.g. vary across runs of the program on
+different machines), iterating over the pointers in the set will
+not be in a well-defined order.</p>
+