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A VLSI Architecture for Concurrent Data Structures (Hardcover, 1987 ed.)
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A VLSI Architecture for Concurrent Data Structures (Hardcover, 1987 ed.)
Series: The Springer International Series in Engineering and Computer Science, 27
Expected to ship within 12 - 17 working days
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Concurrent data structures simplify the development of concurrent
programs by encapsulating commonly used mechanisms for
synchronization and commu nication into data structures. This
thesis develops a notation for describing concurrent data
structures, presents examples of concurrent data structures, and
describes an architecture to support concurrent data structures.
Concurrent Smalltalk (CST), a derivative of Smalltalk-80 with
extensions for concurrency, is developed to describe concurrent
data structures. CST allows the programmer to specify objects that
are distributed over the nodes of a concurrent computer. These
distributed objects have many constituent objects and thus can
process many messages simultaneously. They are the foundation upon
which concurrent data structures are built. The balanced cube is a
concurrent data structure for ordered sets. The set is distributed
by a balanced recursive partition that maps to the subcubes of a
binary 7lrcube using a Gray code. A search algorithm, VW search,
based on the distance properties of the Gray code, searches a
balanced cube in O(log N) time. Because it does not have the root
bottleneck that limits all tree-based data structures to 0(1)
concurrency, the balanced cube achieves 0C.: N) con currency.
Considering graphs as concurrent data structures, graph algorithms
are pre sented for the shortest path problem, the max-flow problem,
and graph parti tioning. These algorithms introduce new
synchronization techniques to achieve better performance than
existing algorithms."
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