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On Timing-Independent False Path Identification. Feng Yuan, Qiang Xu Cuhk Reliable Computing Lab, The Chinese University of Hong Kong ICCAD 2010. Outline. Introduction Preliminaries False Path Examination Method Experimental Results & Conclusion. Outline. Introduction Preliminaries
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On Timing-Independent False Path Identification Feng Yuan, QiangXu Cuhk Reliable Computing Lab,The Chinese University of Hong Kong ICCAD 2010
Outline • Introduction • Preliminaries • False Path Examination • Method • Experimental Results & Conclusion
Outline • Introduction • Preliminaries • False Path Examination • Method • Experimental Results & Conclusion
Introduction • False Path • The test vector which cannot propagate in function mode. • Used in STA of timing-driven placement. • In manufacturing testing is unnecessary and may cause over-testing. • Optimization does not help to improve the performance of the circuit.
Introduction (cont.) • Kinds of False Path • Timing-don’t-care false paths • Path in async. clock domain crossovers • Timing-independent false paths • Logically unsensitizable in function mode • Delay-dependent false paths • Logically sensitizable but dominated by one or more side-input signals all the time
Outline • Introduction • Preliminaries • False Path Examination • Method • Experimental Results & Conclusion
Illegal State Identification • Previous Work[12]
False Path caused by Illegal State • If a path is activated only with illegal states in the circuit, this path is a false path.
Outline • Introduction • Preliminaries • False Path Examination • Method • Experimental Results & Conclusion
Controlling Signal 0 1 0 1 x x 1 0 x x x x
Criterion • A path is a timing-independent false path iff there exist at least one on-path signal such that when it is a non-controlling value, one or more of its corresponding side-input signals are with controlling values in function mode. • Meet some illegal state?
Criterion (cont.) • A path is not a timing-independent false path iff there any on-path signal such that when it is a non-controlling value, one or more of its corresponding side-input signals are with non-controlling values in function mode.
Path Sensitizaton • Given a path P, to determine whether it is a timing-independent false path. • Propagate logic ‘0’and ‘1’ at launch point.
Proposed Examination Procedure • Phantom logic AND gate • Use AND gates and inverters to represent the illegal states. • Set output of AND gates to be logic ‘0’
Outline • Introduction • Preliminaries • False Path Examination • Method • Experimental Results & Conclusion
Find False Path • The number of false paths is exponential to circuit size. • Find the root cause structures • Prime False path segment
Static Implication Learning • Consider illegal state: {FF0(1), FF2(1)} • Conduct implication for the inverse values of FF0(0), FF2(0) independently • FF0(0)=>B(0)=>G(0) • FF2(0)=>A(0)=>C(1)=>D(0)=>F(1) • Use counter-positive low
Suspicious Node Extraction • Suspicious Node • Starting point of S-Frontier • All the possible false segments can be detect. • The selected points are as less as possible. • Affect Node • The nodes have implications after Static Implication Learning. • Not all the affect nodes need to consider as the starting points.
S-Frontier Propagation • Do a BFS process to launch nodes with 0(1) • Created at each suspicious node • Launch 0(1) and propagate to new node • Add the implication and check if meet the illegal state. • Check the starting pointis already in existing falsepath segment to avoidfinding the same segment.
Outline • Introduction • Preliminaries • False Path Examination • Method • Experimental Results & Conclusion
Experiment Results • Benchmark • ISCAS’89 • IWLS 2005 • Environment • 2GHz PC • 1GB memory • Competitor • [5] Fast Identification of Untestable Delay Faults Using Implications
Experiment Results (cont.) • Use PrimeTime to fetch 5000 critical paths • Worse Case Delay(WCD) • Report the true critical paths delay
Experiment Results (cont.) • Use academic ATPG tool Atalanta [7] • Check whether we can find a solution to activate them.
Conclusion • Develop novel false path identification techniques by taking illegal states in the circuit into consideration. • The proposed solution find much more false paths than existing FPI techniques.