Download A VLSI Architecture for Concurrent Data Structures by William J. Dally (auth.) PDF

By William J. Dally (auth.)

Concurrent information constructions simplify the advance of concurrent courses by way of encapsulating customary mechanisms for synchronization and commu­ nication into info constructions. This thesis develops a notation for describing concurrent information buildings, offers examples of concurrent info constructions, and describes an structure to help concurrent info constructions. Concurrent Smalltalk (CST), a by-product of Smalltalk-80 with extensions for concurrency, is constructed to explain concurrent information constructions. CST permits the programmer to specify gadgets which are disbursed over the nodes of a concurrent computing device. those allotted gadgets have many constituent gadgets and therefore can approach many messages concurrently. they're the basis upon which concurrent info buildings are outfitted. The balanced dice is a concurrent facts constitution for ordered units. The set is shipped by means of a balanced recursive partition that maps to the subcubes of a binary 7lrcube utilizing a grey code. A seek set of rules, VW seek, in keeping with the space homes of the grey code, searches a balanced dice in O(log N) time. since it doesn't have the foundation bottleneck that limits all tree-based info buildings to 0(1) concurrency, the balanced dice achieves 0C.:N) con­ forex. contemplating graphs as concurrent facts constructions, graph algorithms are pre­ sented for the shortest course challenge, the max-flow challenge, and graph parti­ tioning. those algorithms introduce new synchronization suggestions to accomplish higher functionality than latest algorithms.

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Example text

Dim +-aDim. flag +-aFlag. 13: Method for split:key:data:flag: not necessarily mean that the cube is full. The cube may just be temporarily out of balance. If the insert key and the linear order of the neighbor's address have the same relation to the current key and current address, the split message inserts the key and record into the corner node of the upper half subcube and sets its dimension to prevent it from routing further messages to the original corner node. The method belowNeighbor: dim returns true if the linear order address of the current node is less than the linear address of its neighbor in dimension dim.

The node or subcube with address a; is denoted N[a;]. If the address is implicit, the node will be referred to as N. l2; I 0 ~ J. ~ n - I}. 1. An 7n-subcube of a binary n-cube is a set of M = 2m nodes whose addresses are identical in all but m positions. An 7n-subcube is identified by an address that contains unknowns, represented by the character X, in the m bit positions in which its members' addresses may differ. 1 the top of the 3-cube is the lXX subcube. The top front edge is the lXl subcube.

NewWDim <-self reduce Dim: wDim key: aKey. (wDim < dim) ifTrue: [ (key < a Key) ifTrue: [ (aKey < ((self upperNeighbor) key)) ifTrue: [requester reply: nilll ifFalse: [ (aKey > ((self lowerNeighbor) key)) ifTrue: [requester reply: nil]]. 8: Search Space Reduction by wSearch Method instance methods for class Balanced Cube wSearch: aKey wDim: wDim vDim: vDim search lor aKey exclude rwlock. II (key = aKey) iffrue:[ requester reply: data]. 1 The search technique is best described by means of an example.

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