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Content Provider | IEEE Xplore Digital Library |
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Author | Gang Wang Wenrui Gong DeRenzi, B. Kastner, R. |
Copyright Year | 2006 |
Description | Author affiliation: Dept. of Electr. & Comput. Eng., California Univ., Santa Barbara, CA (Gang Wang; Wenrui Gong; DeRenzi, B.; Kastner, R.) |
Abstract | Design space exploration during high level synthesis is often conducted through ad-hoc probing of the solution space using some scheduling algorithm. This is not only time consuming but also very dependent on designer's experience. We propose a novel design exploration method that exploits the duality between the time and resource constrained scheduling problems. Our exploration automatically constructs a high quality time/area tradeoff curve in a fast, effective manner. It uses the max-min ant colony optimization to solve both the time and resource constrained scheduling problems. We switch between the time and resource constrained algorithms to quickly traverse the design space. Our algorithm provides a significant solution quality savings (average 17.3% reduction of resource counts) with similar run time on a comprehensive benchmark suite constructed with classic and real-life samples, compared to using force directed scheduling exhaustively at every time step. Our algorithms scale well over different applications and problem sizes |
Sponsorship | SiCda EDA Consortium IEEE Circuits & Syst. Soc. IEEE CASS/CANDE CANDE CEDA |
Starting Page | 451 |
Ending Page | 454 |
File Size | 2351046 |
Page Count | 4 |
File Format | |
ISBN | 1595933816 |
ISSN | 0738100X |
DOI | 10.1109/DAC.2006.229234 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-07-24 |
Publisher Place | USA |
Access Restriction | Subscribed |
Rights Holder | Association for Computing Machinery, Inc. (ACM) |
Subject Keyword | Space exploration Ant colony optimization Algorithm design and analysis Time factors Scheduling algorithm Switches High level synthesis Delay Resource management Design optimization Instruction Scheduling Algorithms Algorithms Design Theory Design Space Exploration Ant Colony Optimization MAX-MIN Ant System |
Content Type | Text |
Resource Type | Article |
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