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Titolo:
Efficient design exploration based on module utility selection
Autore:
Chantrapornchai, C; Sha, EHM; Hu, XS;
Indirizzi:
Silpakorn Univ, Fac Sci, Dept Math, Nakorn Pathom, Thailand Silpakorn Univ Nakorn Pathom Thailand ept Math, Nakorn Pathom, Thailand Univ Notre Dame, Dept Comp Sci & Engn, Notre Dame, IN 46556 USA Univ NotreDame Notre Dame IN USA 46556 & Engn, Notre Dame, IN 46556 USA
Titolo Testata:
IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
fascicolo: 1, volume: 19, anno: 2000,
pagine: 19 - 29
SICI:
0278-0070(200001)19:1<19:EDEBOM>2.0.ZU;2-7
Fonte:
ISI
Lingua:
ENG
Keywords:
design space exploration; fuzzy logic; high-level synthesis; resource allocation; scheduling;
Tipo documento:
Article
Natura:
Periodico
Settore Disciplinare:
Engineering, Computing & Technology
--discip_EC--
Citazioni:
23
Recensione:
Indirizzi per estratti:
Indirizzo: Chantrapornchai, C Silpakorn Univ, Fac Sci, Dept Math, Nakorn Pathom, Thailand Silpakorn Univ Nakorn Pathom Thailand thom, Thailand
Citazione:
C. Chantrapornchai et al., "Efficient design exploration based on module utility selection", IEEE COMP A, 19(1), 2000, pp. 19-29

Abstract

In this paper, we present a design exploration framework, called WIZARD, which aims at finding module selections that will lead to superior designs while considering scheduling and resource binding under latency and power constraints. The framework contains two phases: choosing the resource configuration, and determining a module binding for each resource. We introduce a powerful model called an acceptability function which models design objectives, based on tradeoffs among different design constraints as well as a user's willingness to accept a design. Module utility measure cooperating withinclusion scheduling is the key to the success of our method. The utility of a module reflects the usefulness of the module based on the acceptability function, Inclusion scheduling is an algorithm to provide information fordetermining the number of functional units as well as module usefulness. We also present a heuristic which modifies module utility values based on the given acceptability function until they lead to superior selections. Manyexperiments on well-known benchmarks show the effectiveness of the approach when the obtained module selections are compared with the results from enumerating all module selections, as well as other schemes such as MSSR and PSGA.

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Documento generato il 07/07/20 alle ore 21:05:56