Scheduling and 2D placement heuristics for partially reconfigurable systems

This paper proposes new scheduling and 2D placement heuristics for partially dynamically reconfigurable systems. One specific focus of this work is to deal with applications containing hundreds of tasks grouped in a few number of task types. Such a task graph structure is representative of data inte...

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Bibliographic Details
Main Authors: Santambrogio, Marco Domenico (Contributor), Redaelli, F. (Author), Rana, V. (Author), Ogrenci Memik, S. (Author)
Other Authors: Massachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory (Contributor)
Format: Article
Language:English
Published: Institute of Electrical and Electronics Engineers, 2010-12-10T19:54:46Z.
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