Please use this identifier to cite or link to this item: http://localhost:8081/xmlui/handle/123456789/9351
Title: PROCESSOR ALLOCATION STRATEGIES FOR HYPERCUBE MULTIPROCESSOR
Authors: Agarwal, Tej Prakash
Keywords: ELECTRONICS AND COMPUTER ENGINEERING;PROCESSOR ALLOCATION STRATEGIES;HYPERCUBE MULTIPROCESSOR;HYPERCUBE MULTIPROCESSOR
Issue Date: 1993
Abstract: The processor allocation problem in an n-dimensional hypercube multiprocessor is similar to the conventional memory allocation problem. The main objective in both problems is to maximize the utilization of resources as well as minimize the inherent system fragmentation. Full recognition of various subcubes In a hypercube multiprocessor efficiently Is nontrivial due to the specific structure of the hypercube. In this dissertation we discuss three processor allocation strategies named as Buddy strategy, Gray_code(GC) strategy and Freelist strategy and compare their performance in maximizing the resource utilization
URI: http://hdl.handle.net/123456789/9351
Other Identifiers: M.Tech
Research Supervisor/ Guide: Kumar, Padam
metadata.dc.type: M.Tech Dessertation
Appears in Collections:MASTERS' THESES (E & C)

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