URI | http://purl.tuc.gr/dl/dias/95C0A557-C048-4507-85B2-2E158B000F81 | - |
Identifier | http://users.isc.tuc.gr/~kpapadimitriou/publications/TaskGraphPR-fccm2006.pdf | - |
Language | en | - |
Extent | 2 pages | en |
Title | A task graph approach for efficient exploitation of reconfiguration in dynamically reconfigurable systems | en |
Creator | Papadimitriou Kyprianos | en |
Creator | Παπαδημητριου Κυπριανος | el |
Creator | Dollas Apostolos | en |
Creator | Δολλας Αποστολος | el |
Publisher | Institute of Electrical and Electronics Engineers | en |
Content Summary | Partial 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 Item | Πλήρης Δημοσίευση σε Συνέδριο | el |
Type of Item | Conference Full Paper | en |
License | http://creativecommons.org/licenses/by/4.0/ | en |
Date of Item | 2015-11-12 | - |
Date of Publication | 2006 | - |
Subject | Informatics | en |
Subject | computer science | en |
Subject | informatics | en |
Bibliographic Citation | K. 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 |