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A task graph approach for efficient exploitation of reconfiguration in dynamically reconfigurable systems

Papadimitriou Kyprianos, Dollas Apostolos

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URIhttp://purl.tuc.gr/dl/dias/95C0A557-C048-4507-85B2-2E158B000F81-
Identifierhttp://users.isc.tuc.gr/~kpapadimitriou/publications/TaskGraphPR-fccm2006.pdf-
Languageen-
Extent2 pagesen
TitleA task graph approach for efficient exploitation of reconfiguration in dynamically reconfigurable systemsen
CreatorPapadimitriou Kyprianosen
CreatorΠαπαδημητριου Κυπριανοςel
CreatorDollas Apostolosen
CreatorΔολλας Αποστολοςel
PublisherInstitute of Electrical and Electronics Engineersen
Content SummaryPartial reconfiguration suffers from the inherent high latency and low throughput which is more considerable when reconfiguration is performed on-demand. This work deals with this overhead in processors combining a fixed processing unit (FPU), and a reconfigurable processing unit (RPU). Static and dynamic prefetching [1], and instruction forecasting [2] are targeting at reduction of the overhead through preloading of configurations. Banerjee et al. [3] transform the task graph of an application and a heuristic algorithm evaluates the reduction in schedule length and selects the most promising configuration. Tasks are scheduled according to the physical resource constraints. In our work we augment the prefetching model of [1] by taking into account the hardware area constraints of a partially reconfigurable system. Given the task graph of an application, tasks with low probability to be executed are split and preloaded according to the hardware in order to be fully utilized. Thus, the time during which reconfiguration is overlapped with processor execution is increased.en
Type of ItemΠλήρης Δημοσίευση σε Συνέδριοel
Type of ItemConference Full Paperen
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-12-
Date of Publication2006-
SubjectInformaticsen
Subjectcomputer scienceen
Subjectinformaticsen
Bibliographic CitationK. Papademetriou and A. Dollas, "A task graph approach for efficient exploitation of reconfiguration in dynamically reconfigurable systems," in IEEE International Symposium on Field-Programmable Custom Computing Machines, 2006, pp. 307-308.en

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