Computing Bottom SCCs Symbolically Using Transition Guided Reduction
Nikola Beneš, Luboš Brim, Samuel Pastva, and David Šafránek
bottom strongly connected components
bottom SCC Algorithms
- Explicit graphs: Tarjan, Kosaraju, or any other linear SCC decomposition is asymptotically optimal.
- Symbolic graphs: Xie-Beerel is quadratic when computing general SCCs, but linear for just bottom SCCs.
"Optimal" Symbolic Algorithm
Graph
Pivot Vertex ⇒
"Optimal" Symbolic Algorithm
Backward set (B) ⇒
Pivot Vertex ⇒
Graph
"Optimal" Symbolic Algorithm
Backward set (B) ⇒
Graph
Forward set (F) ⇒
"Optimal" Symbolic Algorithm
Backward set (B) ⇒
Graph
Forward set (F) ⇒
Not a bottom SCC
"Optimal" Symbolic Algorithm
Graph
×
⇐ Pivot Vertex
Large SCC are sometimes small
Graph
10^30
10^10
0.000000000000000001%
⇐
Poor Pivot Selection
Graph
×
×
×
×
×
×
×
×
BASIN DIAMETER
Graph
y
x
x << y
Interleaved Transition Guided Reduction (ITGR)
ITGR: Goal
Graph
×
ITGR: Goal
Graph
⇐ Pivot Set
ITGR: Goal
Graph
Backward set (B)
ITGR: Goal
Graph
Backward set (B)
Forward Set (F)
ITGR: Goal
Graph
Backward set (B)
Forward Set (F)
ITGR: Goal
Graph
Backward set (B)
Forward Set (F)
Is it any good?
ITGR: EVALUATION
125 real models, 200 randomly generated
CAV '21 5min
By Samuel Pastva
CAV '21 5min
- 83