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670e9f34ee
Remove many duplicated words under Documentation/ and do other small
cleanups.
Examples:
"and and" --> "and"
"in in" --> "in"
"the the" --> "the"
"the the" --> "to the"
...
Signed-off-by: Paolo Ornati <ornati@fastwebnet.it>
Signed-off-by: Adrian Bunk <bunk@stusta.de>
108 lines
5.2 KiB
Plaintext
108 lines
5.2 KiB
Plaintext
The prio_tree.c code indexes vmas using 3 different indexes:
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* heap_index = vm_pgoff + vm_size_in_pages : end_vm_pgoff
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* radix_index = vm_pgoff : start_vm_pgoff
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* size_index = vm_size_in_pages
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A regular radix-priority-search-tree indexes vmas using only heap_index and
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radix_index. The conditions for indexing are:
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* ->heap_index >= ->left->heap_index &&
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->heap_index >= ->right->heap_index
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* if (->heap_index == ->left->heap_index)
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then ->radix_index < ->left->radix_index;
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* if (->heap_index == ->right->heap_index)
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then ->radix_index < ->right->radix_index;
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* nodes are hashed to left or right subtree using radix_index
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similar to a pure binary radix tree.
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A regular radix-priority-search-tree helps to store and query
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intervals (vmas). However, a regular radix-priority-search-tree is only
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suitable for storing vmas with different radix indices (vm_pgoff).
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Therefore, the prio_tree.c extends the regular radix-priority-search-tree
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to handle many vmas with the same vm_pgoff. Such vmas are handled in
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2 different ways: 1) All vmas with the same radix _and_ heap indices are
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linked using vm_set.list, 2) if there are many vmas with the same radix
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index, but different heap indices and if the regular radix-priority-search
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tree cannot index them all, we build an overflow-sub-tree that indexes such
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vmas using heap and size indices instead of heap and radix indices. For
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example, in the figure below some vmas with vm_pgoff = 0 (zero) are
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indexed by regular radix-priority-search-tree whereas others are pushed
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into an overflow-subtree. Note that all vmas in an overflow-sub-tree have
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the same vm_pgoff (radix_index) and if necessary we build different
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overflow-sub-trees to handle each possible radix_index. For example,
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in figure we have 3 overflow-sub-trees corresponding to radix indices
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0, 2, and 4.
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In the final tree the first few (prio_tree_root->index_bits) levels
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are indexed using heap and radix indices whereas the overflow-sub-trees below
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those levels (i.e. levels prio_tree_root->index_bits + 1 and higher) are
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indexed using heap and size indices. In overflow-sub-trees the size_index
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is used for hashing the nodes to appropriate places.
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Now, an example prio_tree:
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vmas are represented [radix_index, size_index, heap_index]
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i.e., [start_vm_pgoff, vm_size_in_pages, end_vm_pgoff]
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level prio_tree_root->index_bits = 3
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-----
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_
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0 [0,7,7] |
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/ \ |
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------------------ ------------ | Regular
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/ \ | radix priority
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1 [1,6,7] [4,3,7] | search tree
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/ \ / \ |
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------- ----- ------ ----- | heap-and-radix
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/ \ / \ | indexed
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2 [0,6,6] [2,5,7] [5,2,7] [6,1,7] |
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/ \ / \ / \ / \ |
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3 [0,5,5] [1,5,6] [2,4,6] [3,4,7] [4,2,6] [5,1,6] [6,0,6] [7,0,7] |
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/ / / _
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/ / / _
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4 [0,4,4] [2,3,5] [4,1,5] |
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/ / / |
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5 [0,3,3] [2,2,4] [4,0,4] | Overflow-sub-trees
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/ / |
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6 [0,2,2] [2,1,3] | heap-and-size
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/ / | indexed
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7 [0,1,1] [2,0,2] |
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/ |
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8 [0,0,0] |
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_
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Note that we use prio_tree_root->index_bits to optimize the height
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of the heap-and-radix indexed tree. Since prio_tree_root->index_bits is
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set according to the maximum end_vm_pgoff mapped, we are sure that all
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bits (in vm_pgoff) above prio_tree_root->index_bits are 0 (zero). Therefore,
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we only use the first prio_tree_root->index_bits as radix_index.
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Whenever index_bits is increased in prio_tree_expand, we shuffle the tree
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to make sure that the first prio_tree_root->index_bits levels of the tree
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is indexed properly using heap and radix indices.
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We do not optimize the height of overflow-sub-trees using index_bits.
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The reason is: there can be many such overflow-sub-trees and all of
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them have to be suffled whenever the index_bits increases. This may involve
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walking the whole prio_tree in prio_tree_insert->prio_tree_expand code
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path which is not desirable. Hence, we do not optimize the height of the
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heap-and-size indexed overflow-sub-trees using prio_tree->index_bits.
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Instead the overflow sub-trees are indexed using full BITS_PER_LONG bits
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of size_index. This may lead to skewed sub-trees because most of the
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higher significant bits of the size_index are likely to be 0 (zero). In
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the example above, all 3 overflow-sub-trees are skewed. This may marginally
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affect the performance. However, processes rarely map many vmas with the
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same start_vm_pgoff but different end_vm_pgoffs. Therefore, we normally
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do not require overflow-sub-trees to index all vmas.
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From the above discussion it is clear that the maximum height of
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a prio_tree can be prio_tree_root->index_bits + BITS_PER_LONG.
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However, in most of the common cases we do not need overflow-sub-trees,
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so the tree height in the common cases will be prio_tree_root->index_bits.
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It is fair to mention here that the prio_tree_root->index_bits
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is increased on demand, however, the index_bits is not decreased when
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vmas are removed from the prio_tree. That's tricky to do. Hence, it's
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left as a home work problem.
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