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Title:
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GRID-BASED STATISTICAL TIMING ANALYSIS |
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Author(s):
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Luísguerra E Silva , L.miguelsilveira |
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ISBN:
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972-99353-6-X |
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Editors:
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Nuno Guimarães and Pedro Isaías |
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Year:
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2005 |
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Edition:
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1 |
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Keywords:
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Statistical timing analysis,Monte Carlo techniques,parallelization,
grid computing. |
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Type:
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Full Paper |
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First Page:
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73 |
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Last Page:
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80 |
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Language:
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English |
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Cover:
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Full Contents:
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click to dowload 
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Paper Abstract:
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Timinganalysisisconcernedwithmodelingandcomputingthedelayofdigitalintegratedcircuits(IC),priortofabrication.ThedelaywilldeterminethemaximumoperatingfrequencyofanIC,anditscomputationisofparamountimportanceinelectronicsystemdesign.AsfeaturesizesdecreaseinICtechnologies,thenumberofcomponentsthatcanbeintegratedonasingleICisverylarge.However,theirprecisebehavior,includingtheirdelay,becomesincreasinglysensitivetofabricationandoperatingvariations.Standarddeterministictechniquesfordelayanalysisarequicklybecominginadequate,becausetheyproduceextremelyconservativeworst-casedelayestimates.Inthiscontext,severalstatisticaltiminganalysisalgorithmshaverecentlybeenproposed,basedonanalyticalmodels.However,neitherofthemisabletocorrectlycaptureandmodelallthecorrelationsandvariationsthatinfluencethedelays.Uptodate,theonlymethodthatcanproduceaccurate,yetapproximate,delayestimates,takingintoaccountfabricationandoperationalvariations,isbasedonMonteCarlosimulation.InthispaperweproposeaMonteCarlo-basedstatisticaltiminganalysisimplementationandstudyitsparallelization,onadistributedinfrastructureforparallelcomputation,basedonthegridcomputingparadigm.SincethisiscurrentlytheonlyaccuratemethodavailabletoperformstatisticaltiminganalysisofICs,andgiventhatmodernICscarrymillionsoflogicblocks,thepossibilityofdealingwithsuchlargedesignsbyusingacheapparallelcomputinginfrastructureisoftremendouspracticalinterest. |
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