Dataflow graph partitioning for high level synthesis

This paper presents a dataflow graph (DFG) partitioning methodology for effective high level synthesis in the presence of constraints like data initiation interval (II) and area. It also focuses on handling large DFGs for high level synthesis with area reduction as a requirement. An algorithm for da...

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Bibliographic Details
Main Authors: Sinha, Sharad, Srikanthan, Thambipillai
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
Online Access:https://hdl.handle.net/10356/96749
http://hdl.handle.net/10220/13098
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Institution: Nanyang Technological University
Language: English