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Abstract: List scheduling algorithms attempt to minimize latency under resource constraints using a priority list. We propose a new heuristic that can be used in conjunction with any priority function. At each timestep, the proposed clustering heuristic tries to find a best match between ready operations and the resource set. The heuristic arbitrates among equal priority operations based on operation-clusters formed from the dependency graph. Based on this heuristic we have presented a new Cone-Based... (Update)
Context of citations to this paper: More
...guide the static list scheduling algorithm towards an optimal schedule. We introduced the preliminary idea of cones and clusters in [13] and used it for resource constrained dynamic list scheduling algorithms. The topological clustering technique presented here has an...
.... for certain types of applications or if design factors have a positive impact on some performances and a negative in uence on other [12]. Finally, HLS and physical synthesis are ########## activities. This prevents HLS from addressing anyphysical level aspects...
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BibTeX entry: (Update)
S.Govindarajan and R.Vemuri. "Cone-Based Clustering Heuristic for List Scheduling Algorithms". In Proceedings of European Design & Test Conference (ED&TC), pages 456--462, Paris, France, March 1997. IEEE Computer Society. ISBN 0-8186-7786-4. http://citeseer.ist.psu.edu/govindarajan97conebased.html More
@misc{ govindarajan97conebased,
author = "S. Govindarajan and R. Vemuri",
title = "Cone-Based Clustering Heuristic for List Scheduling Algorithms",
text = "S.Govindarajan and R.Vemuri. Cone-Based Clustering Heuristic for List Scheduling
Algorithms. In Proceedings of European Design & Test Conference (ED&TC),
pages 456--462, Paris, France, March 1997. IEEE Computer Society. ISBN 0-8186-7786-4.",
year = "1997",
url = "citeseer.ist.psu.edu/govindarajan97conebased.html" }
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