Boolean Satisfiability (SAT) Algorithms

More documents

Recommendations

Info

Although “learning” in general can lead to more implications and possibly lead to conflicts earlier (i.e. bound earlier) --- 1. It may slow down the implication process 2. It may affect the decision ordering, which may not necessarily reduce the #decisions Boolean SAT Algorithms / FLOLAC 2009 Prof. Chung-Yang (Ric) Huang http://dvlab.ee.ntu.edu.tw 190
What can we do to make the learning useful 1. Use learning to find better decision ordering • zChaff uses learned information to refine the decision ordering • BerkMin uses learned information to increase emphasis on “locality” of decisions 2. With conflict analysis, decision can restart any time • Change to different decision ordering heuristic to explore different areas in the input space 3. Modify the learned information • Remove least-used learned information • Simplify or synthesize the learned information • Any other idea Boolean SAT Algorithms / FLOLAC 2009 Prof. Chung-Yang (Ric) Huang http://dvlab.ee.ntu.edu.tw 191
Page 1 and 2:
Boolean Satisfiability (SAT) Algori
Page 3 and 4:
What is Verification What’s the p
Page 5 and 6:
#Transistors in Intel’s CPUs Year
Page 7 and 8:
What is Verification What’s the p
Page 9 and 10:
And of course, don’t forget the i
Page 11 and 12:
Improvement on Floating-Point Execu
Page 13 and 14:
A 3-D plot of the ratio 4195835/314
Page 15 and 16:
Aftermath... Intel hired 1000+ PhD
Page 17 and 18:
How do you verify your design Bool
Page 19 and 20:
Simulation-Based Verification Testb
Page 21 and 22:
Like Finding a Bug in an Ocean… B
Page 23 and 24:
Then why is simulation still the ma
Page 25 and 26:
And of course, simulation approach
Page 27 and 28:
Using hardware to speed up simulati
Page 29 and 30:
Verification vs. Testing Objective
Page 31 and 32:
Observability Problem --- Solved In
Page 33 and 34:
The Fact More than 90% of properti
Page 35 and 36:
ABV Example --- OVL module assert_n
Page 37 and 38:
Any Problem Whose Problem “My big
Page 39 and 40:
Think --- If you simulate your desi
Page 41 and 42:
Simulation and Assertion-Based Veri
Page 43 and 44:
Formal Verification Technologies De
Page 45 and 46:
Proving “assert_always(p)” In
Page 47 and 48:
Set of Reachable States t0 t1 t2 t3
Page 49 and 50:
Combinational Invariance It is wor
Page 51 and 52:
In this topic, we will use SAT engi
Page 53 and 54:
Boolean Satisfiability (SAT) Fundam
Page 55 and 56:
Complexity of SAT solver We have le
Page 57 and 58:
Something like --- A Decision Tree
Page 59 and 60:
Boolean Satisfiability Checking for
Page 61 and 62:
A Typical Combinational SAT Algorit
Page 63 and 64:
A Typical Combinational SAT Algorit
Page 65 and 66:
a b c d combSat (g7, 0) 1 g1 g2 g3
Page 67 and 68:
a b c d combSat (d, 1) 1 1 g1 g2 g3
Page 69 and 70:
a b c d combSat (d, 1) 1 1 g1 g2 g3
Page 71 and 72:
How many decisions did we make Ther
Page 73 and 74:
Logic Implications Also called “
Page 75 and 76:
How to schedule and evaluate these
Page 77 and 78:
Trying to avoid fruitless implicati
Page 79 and 80:
What’s the improvement Worse case
Page 81 and 82:
Sounds good for all-1’s forward i
Page 83 and 84:
2-Watched-Literal Algorithm H. Zhan
Page 85 and 86:
2-Watched-Literal Algorithm Example
Page 87 and 88:
Caching Effect: Reducing from O(n)
Page 89 and 90:
Difference between circuit and CNF
Page 91 and 92:
Any problem Remember there is only
Page 93 and 94:
A Closer Look 0 1 1 0 0 0 11 1 11 1
Page 95 and 96:
Direct Implication 1. Single source
Page 97 and 98:
Direct vs. Indirect Implications 0
Page 99 and 100:
Watch Scheme for XOR Gate n-input
Page 101 and 102:
Applications of Logic Implication W
Page 103 and 104:
Redundancy in a Combinational Circu
Page 105 and 106:
Mandatory Assignment Example (1) Fa
Page 107 and 108:
1. How do we know a wire in a combi
Page 109 and 110:
How to add an extra wire to make th
Page 111 and 112:
RAMBO: Redundancy Addition and remo
Page 113 and 114:
Is (g5 g9) redundant c 0 b 0 g1 1
Page 115 and 116:
Filtering Out Impossible Candidate
Page 117 and 118:
How do we add “something” to a
Page 119 and 120:
A Two-Way Redundancy Addition and R
Page 121 and 122:
RAR Example (w t : g6 g7) c g4 0 0
Page 123 and 124:
2-Way RAR Algorithm 1. Given a targ
Page 125 and 126:
Creating a Redundant Gate (2) g s1
Page 127 and 128:
A closer look at the previous examp
Page 129 and 130:
Single Wire Replacement Theorem in
Page 131 and 132:
A closer look... MA(w t ) a MA(g d
Page 133 and 134:
SRAR-Wire vs. Original RAMBO (FYI)
Page 135 and 136:
Single Gate Replacement in SatRAR *
Page 137 and 138:
Alternative Sub-circuit by SatRAR M
Page 139 and 140: CNF-Based SAT Algorithm 1. Davis, P
Page 141 and 142: Davis Putnam Algorithm M .Davis, H.
Page 143 and 144: Basic DLL Procedure - DFS (a’ + b
Page 151 and 152: Potentially exponential complexity!
Page 153 and 154: Conflict-Driven Learning (a’ + b
Page 155 and 156: Non-Chronological Backtracking (a
Page 157 and 158: Deduced Implication from Learned Cl
Page 159 and 160: Deduced Implication from Learned Cl
Page 161 and 162: A Closer Look at the Implication Gr
Page 163 and 164: Conflict Analysis 2 a = 1 a = 1 a1
Page 165 and 166: Which constraint is the best to add
Page 167 and 168: Conflict-Driven Learning Decision l
Page 169 and 170: A closer look at binary decision tr
Page 171 and 172: Conflict-Driven Non-Chronological B
Page 173 and 174: What we have learned on SAT... 1. E
Page 175 and 176: Static Decision Ordering Decision
Page 177 and 178: zChaff’s Variable State Independe
Page 179 and 180: More decision heuristics... Variabl
Page 181 and 182: Remember when we talked about confl
Page 183 and 184: Various Learning Techniques Other
Page 185 and 186: Learned by Signal Correlations A p
Page 187 and 188: Conflict vs. Success-Driven Learnin
Page 189: Success-Driven Learning Ref: Shuo,
Page 193 and 194: Recalled, the SAT algorithms we hav
Page 195 and 196: SAT-Based Verification We know tha
Page 197 and 198: However, in the above approach, we
Page 199 and 200: Bounded Model Checking (BMC) Algori
Page 201 and 202: Application of BMC If the property
Page 203 and 204: K-induction Induction: SSS2000 •
Page 205 and 206: Induction SAT for (k = 0 to infinit
Page 207 and 208: Does “Induction SAT” guarantee
Page 209 and 210: Induction over simple paths Let sim
Page 211 and 212: Is the recurrence diameter the same
Page 213 and 214: Outline Overview of Hardware Verif
Page 215 and 216: Symbolic model checking without BDD
Page 217 and 218: Limitation of Formal Engine Still
Page 219 and 220: Localization abstraction Property:
Page 221 and 222: Image and over-approximated image
Page 223 and 224: Remember: Resolution a ∨ b ∨ ¬
Page 225 and 226: Generating refutations Refutation
Page 227 and 228: Extraction of Unsatisfiability Core
Page 229 and 230: Some Definitions for Unsatisfiabili
Page 231 and 232: Interpolants from Proofs Deriving
Page 233 and 234: SAT to compute set of reachable sta
Page 235 and 236: Overapproximation An overapproxima
Page 237 and 238: Adequate image Img(P,C) P Img’(P,
Page 239 and 240: Huh A A' B P C C C C C C C F A ⇒
Page 241 and 242:
Reachability algorithm let k = 0 re
Page 243 and 244:
Interpolation-based MC Fully SAT-ba
Page 245 and 246:
Conclusion on Boolean SAT Algorithm
Page 247 and 248:
Some popular SAT engines SATO •
show all

Boolean Satisfiability (SAT) Algorithms

Create successful ePaper yourself

Delete template?

Save as template?