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

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By William J. Dally (auth.)

Concurrent facts buildings simplify the improvement of concurrent courses by means of encapsulating known mechanisms for synchronization and commu­ nication into info buildings. This thesis develops a notation for describing concurrent information buildings, provides examples of concurrent facts constructions, and describes an structure to help concurrent info buildings. Concurrent Smalltalk (CST), a by-product of Smalltalk-80 with extensions for concurrency, is constructed to explain concurrent facts constructions. CST permits the programmer to specify gadgets which are allotted over the nodes of a concurrent laptop. those disbursed gadgets have many constituent items and therefore can strategy many messages at the same time. they're the basis upon which concurrent information buildings are equipped. The balanced dice is a concurrent info constitution for ordered units. The set is shipped by way 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 gap houses of the grey code, searches a balanced dice in O(log N) time. since it doesn't have the basis bottleneck that limits all tree-based info buildings to 0(1) concurrency, the balanced dice achieves 0C.:N) con­ foreign money. contemplating graphs as concurrent facts buildings, 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 larger functionality than latest algorithms.

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Extra resources for A VLSI Architecture for Concurrent Data Structures

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11: VW Search Example 2 5. Node G(3) replies with the value associated with its subcube, O. Since 0 and the contents of G(4), 4, bracket the search key, the search terminates by sending a nil reply to the original requester. The remainder of this section analyzes the VW search algorithm to show that the order of the algorithm is O(1og N) and to prove that the algorithm is deadlock free. 1 Each execution of vSearch decreases wDim by at least 1. 6: 1. If the search key is between the current node, self, and its W neighbor, wDim is explicitly decremented.

Since there is no receive statement, multiple actions are required to implement this method. The first action creates a context and sends the size message. The context contains all method state: a pointer to the receiver, temporary variables, and an instruction pointer into the method code. A pointer to the context is placed in the reply-to field of the size message to cause the size method to reply to the context rather than to the original object. When the size method replies to the context, the second action resumes execution by storing the value of the reply into the variable xSize.

2 are cube addresses. A linear address is the position of a node in the linear order. 2 are linear addresses. Linear addresses Ali. b. 4). 8) Upper nodes of the subcube N[a,l are flagged as slaves to the corner node by setting N flag +-#slave. Any messages transmitted to an upper node N[aul are routed to the corner node of the subcube to which N[aul belongs. There is one exception to this routing rule. A split message is always accepted by its destination and never forwarded. This message is the mechanism by which upper nodes become corner nodes.

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