Title
Task placement for dynamic and partial reconfigurable architecture
Abstract
Managing tasks and resources of reconfigurable system-on-chip is a complex problem which needs specific operating system (OS) functionalities. One of the most important is the task placement which must be done on-line when the application requires flexibility. To ensure an efficient task placement within the reconfigurable resource, OS services must consider the heterogeneity of the reconfigurable resource. While most publications model the reconfigurable resource as homogeneous area, modern reconfigurable circuits are clearly heterogeneous, i.e. there are based on rectangular grid containing logic blocks but also other blocks such as memories, digital signal processing blocks or hard processor cores. In this paper, we tackle the problem of task placement within a reconfigurable resource and we consider a heterogeneous reconfigurable area. Our solution is based on a neural network structure specifically designed to optimize the task placement problem. Our proposition is based on the knowledge of task instantiations within the reconfigurable resource. Compared with other methods, our proposal provides better results in terms of task rejection.
Year
DOI
Venue
2010
10.1109/DASIP.2010.5706269
Design and Architectures for Signal and Image Processing
Keywords
Field
DocType
neural nets,operating systems (computers),reconfigurable architectures,system-on-chip,operating system,partial reconfigurable architecture,rectangular grid,signal processing,task placement,FPGA,neural network,scheduling,task placement
Signal processing,Computer architecture,Digital signal processing,System on a chip,Computer science,Scheduling (computing),Parallel computing,Field-programmable gate array,Real-time computing,Artificial neural network,Multi-core processor,Grid
Conference
ISBN
Citations 
PageRank 
978-1-4244-8733-2
5
0.48
References 
Authors
11
4
Name
Order
Citations
PageRank
Antoine Eiche1323.03
Daniel Chillet219326.12
Pillement, Sebastien3335.30
Olivier Sentieys459773.35