Data flow high level synthesis algorithms (Effective approach).

Muhammad Kamran; Abdul Fattah Chandio; Muhammad Usman Kerrio; Attaullah Khawaja

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Data flow high level synthesis algorithms (Effective approach).

Author(s)

Muhammad Kamran Department of Electrical Engineering, UET, Lahore, Pakistan

Abdul Fattah Chandio Institute of Information Technology, Quaid-e-Awam University, Nawabshah, Pakistan

Muhammad Usman Kerrio Department of Electrical Engineering Quaid-e-Awam University, Nawabshah, Pakistan

Attaullah Khawaja Department of Electrical Engineering, NED University, Karachi, Pakistan

Abstract

In this paper the authors present our study for possible improvement in High Level Synthesis (HLS) design. The authors propose the designers to integrate HLS algorithms to attain the best solution of design problem. For this purpose, the authors provided a procedural approach for efficient algorithmic techniques used in HLS design. The procedure can control different shortcomings in many HLS algorithms and can provide an efficient way to give appropriate and feasible solution of the problem. The presentation of the wok involved the deep observation an Liapunov theorem, applicable for the development of Move Frame algorithms MFS and MFSA. Similarly, Evolutionary Algorithm, Module Selection Algorithm and Dynamic Loop Scheduling Algorithms are correlated to propose more effective data path design of digital system. The hardware functional units, busses and memory in the Data flow part are selected for the processing from signals generated from control flow part. Control flow part is a Finite State Machine for the generation and assignment of new states for the control signals in data flow part.

Publication Details

Page(s) 42-45

DOI DOI not available

Published Journal: New Horizons: Journal of the Institution of Electrical & Electronics Engineers Pakistan, Volume: 46, Issue: 1, Year: 2004

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