Distributed sleep mode handling and task processing in massive multi-core processors

Examensarbete för masterexamen

Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.12380/179794
Download file(s):
File Description SizeFormat 
179794.pdfFulltext1.03 MBAdobe PDFView/Open
Type: Examensarbete för masterexamen
Master Thesis
Title: Distributed sleep mode handling and task processing in massive multi-core processors
Authors: Staaf, Karl
Åberg, Martin
Abstract: This thesis addresses the problem of energy efficient real-time task processing in massive multi-core environments. A sleep mode handling method for processor architectures with support for per-core power gating is developed and the solution is inspired by cellular automata. In a cellular automaton each subcomponent has behavior based on local information which together makes up the behavior of the system. In order to evaluate the method, a simulator is tool is developed and used. Presented and evaluated are a set of qualitative measures for benchmarking the sleep mode handling policies. A key result is that it is possible to construct a distributed core sleep mode handling policy which only depends on local information e.g. the neighboring cores power states, and still performs comparable to policies that are not distributed. Simulation results show that it is possible to save a considerable amount of energy without extending the lateness compared to a system without power handling. The developed simulator tool is useful for understanding how the system behaves as the number of cores increases beyond 1000 and simulation results show that sudden changes in task load can affect lateness momentarily.
Keywords: Informations- och kommunikationsteknik;Data- och informationsvetenskap;Information & Communication Technology;Computer and Information Science
Issue Date: 2013
Publisher: Chalmers tekniska högskola / Institutionen för data- och informationsteknik (Chalmers)
Chalmers University of Technology / Department of Computer Science and Engineering (Chalmers)
URI: https://hdl.handle.net/20.500.12380/179794
Collection:Examensarbeten för masterexamen // Master Theses

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.