Concurrent traversal of multiple binary trees

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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C707S764000, C707S706000

Reexamination Certificate

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08078642

ABSTRACT:
In one embodiment, a tree traversal sequentially processes every level of two or more binary trees until reaching a leaf node for each the binary trees. Processing each level of the binary trees comprises: determining whether each traversed node of the remaining binary trees at the level is a non-leaf node or a leaf node; for the traversed leaf nodes at the level, remove the binary trees to which the leaf nodes belong from the remaining binary trees; and iteratively evaluating the traversed non-leaf nodes at the level of every n remaining binary trees until the non-leaf nodes at the level of all of the remaining binary trees are evaluated, where n≧2 and evaluating the non-leaf nodes of each n binary trees comprises concurrently evaluating the n non-leaf nodes of the n binary trees to determine to which one of the two child nodes of each of the n non-leaf nodes to traverse.

REFERENCES:
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patent: 6816856 (2004-11-01), Baskins et al.
patent: 7194456 (2007-03-01), Longshaw
patent: 7478109 (2009-01-01), Panigrahy et al.
SIMD, In computing, SIMD (Single Instruction, Multiple Data; colloquially, “vector instructions,” is a technique employed to achieve data level parallelism, printed Jul. 22, 2009, 5 pages.
Salford Systems, “Frequently Asked Questions and Answers about TreeNet,” printed Jul. 22, 2009, 4 pages.
TreeNet, “About Salford Systems,” Jerome Friedman's Revolutionary New Contribution to Date Mining, an Alternative to Neural Nets and Support Vector Machines, printed Jul. 22, 2009, 2 pages.

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