Power consumption optimization of dataflow applications on many-core systems

With the growing need for high bandwidth digital communications and streaming applications requiring high quality of video and audio encoding, the transition to platforms consisting of hundreds of processors and efficient communication infrastructures is inevitable. DSP applications targeted to such...

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Main Author: Komninos, Emmanouil
Format: Others
Language:English
Published: KTH, Skolan för informations- och kommunikationsteknik (ICT) 2011
Subjects:
Online Access:http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-42477
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spelling ndltd-UPSALLA1-oai-DiVA.org-kth-424772013-01-08T13:50:41ZPower consumption optimization of dataflow applications on many-core systemsengKomninos, EmmanouilKTH, Skolan för informations- och kommunikationsteknik (ICT)2011TECHNOLOGYTEKNIKVETENSKAPWith the growing need for high bandwidth digital communications and streaming applications requiring high quality of video and audio encoding, the transition to platforms consisting of hundreds of processors and efficient communication infrastructures is inevitable. DSP applications targeted to such highly parallel platforms are best described by concurrent MoCs to enable the mapping and scheduling process to such architectures. Such platforms target embedded devices which operate under a very constraint energy budget. This project is about the energy efficient scheduling of DSP applications, described under the dataflow MoC, on many-core platforms. The target platform is the P2012 designed by STMicroelectronics consisting 16 nodes interconnected through a 2D mesh asynchronous NoC. Each node can operateon different voltage and frequency and can accommodate up to 16 processors. The dataflow MoC considered to describe the aforementioned applications is called SDF. The main advantage gained from this project is the formal description of the energy minimization problem, when such platforms are being considered. We demonstrate the difficulties that arise from these architectures, the insufficiency of the existing energy efficient scheduling approaches and we propose a way to relax this very complex problem so that existing approaches can be applied. Student thesisinfo:eu-repo/semantics/bachelorThesistexthttp://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-42477Trita-ICT-EX ; 192application/pdfinfo:eu-repo/semantics/openAccess
collection NDLTD
language English
format Others
sources NDLTD
topic TECHNOLOGY
TEKNIKVETENSKAP
spellingShingle TECHNOLOGY
TEKNIKVETENSKAP
Komninos, Emmanouil
Power consumption optimization of dataflow applications on many-core systems
description With the growing need for high bandwidth digital communications and streaming applications requiring high quality of video and audio encoding, the transition to platforms consisting of hundreds of processors and efficient communication infrastructures is inevitable. DSP applications targeted to such highly parallel platforms are best described by concurrent MoCs to enable the mapping and scheduling process to such architectures. Such platforms target embedded devices which operate under a very constraint energy budget. This project is about the energy efficient scheduling of DSP applications, described under the dataflow MoC, on many-core platforms. The target platform is the P2012 designed by STMicroelectronics consisting 16 nodes interconnected through a 2D mesh asynchronous NoC. Each node can operateon different voltage and frequency and can accommodate up to 16 processors. The dataflow MoC considered to describe the aforementioned applications is called SDF. The main advantage gained from this project is the formal description of the energy minimization problem, when such platforms are being considered. We demonstrate the difficulties that arise from these architectures, the insufficiency of the existing energy efficient scheduling approaches and we propose a way to relax this very complex problem so that existing approaches can be applied.
author Komninos, Emmanouil
author_facet Komninos, Emmanouil
author_sort Komninos, Emmanouil
title Power consumption optimization of dataflow applications on many-core systems
title_short Power consumption optimization of dataflow applications on many-core systems
title_full Power consumption optimization of dataflow applications on many-core systems
title_fullStr Power consumption optimization of dataflow applications on many-core systems
title_full_unstemmed Power consumption optimization of dataflow applications on many-core systems
title_sort power consumption optimization of dataflow applications on many-core systems
publisher KTH, Skolan för informations- och kommunikationsteknik (ICT)
publishDate 2011
url http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-42477
work_keys_str_mv AT komninosemmanouil powerconsumptionoptimizationofdataflowapplicationsonmanycoresystems
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