a semantics for procedure local heaps and its abstractions

A Semantics for Procedure Local Heapsand its Abstractions

Noam Rinetzky Tel Aviv University

Jörg Bauer Universität des Saarlandes Thomas Reps University of Wisconsin Mooly Sagiv Tel Aviv University Reinhard Wilhelm Universität des Saarlandes

Joint work with

Noam Rinetzky Tel Aviv University www.cs.tau.ac.il/~maon

Motivation

• Interprocedural shape analysis• Conservative static pointer analysis• Heap intensive programs

• Imperative programs with procedures• Recursive data structures

• Goals• Precision• Efficiency

Main idea

• Procedures as local heap transformers

y

t

g

X

y

t

g

call p(x);X

xx

Main Results

• Concrete operational semantics• Large step

• Functional analysis• Storeless

• Shape abstractions• Local heap• Observationally equivalent to “standard” semantics

• Java and “clean” C

• Abstractions• Shape analysis [Sagiv, Reps, Wilhelm, TOPLAS ‘02]• May-alias [Deutsch, PLDI ‘94]• …

Outline

• Motivating example• Why semantics• Localized Heap Storeless Semantics • Shape abstraction

static List reverse(List t) {

}

static void main() {

}

Example

p nn

t rn nn

List x = reverse(p);

return r;

nnt

List y = reverse(q);List z = reverse(x);

…

n nn

t rn nn

p x

nn

q nn

q

static List reverse(List t) {

}

static void main() {

}

Example

List y = reverse(q);

return r;List z = reverse(x);

List x = reverse(p);n

nt

t rn nnt rn nn

n nn

p x

q y

nn

nnt

q nn

n nn

p x

n nn

static List reverse(List t) {

}

static void main() {

}

Example

return r;

nnt

t rn nnt rn nn

n nn

p x

x z

n nn

p x

List z = reverse(x);

List x = reverse(p);List y = reverse(q);

q yn nn

n nn t

n nn t

q yn nn

pn n

n

• Separating objects • Not pointed-to by a parameter

Cutpoints

• Separating objects • Not pointed-to by a parameter

Cutpoints

p xn nn

n nn

proc(x)

Stack sharing

• Separating objects • Not pointed-to by a parameter

xn n

nn n

n

n y

Cutpoints

p x nn n

nn n

n

proc(x)

Stack sharing Heap sharing

proc(x)

Sharing patterns

t nn

q n n

p

t nn

p

q yn n n

t nn

n

px

q yn n n

t nn

n

qn n n

x y

static List reverse(List t) {

}

static void main() {

}

Example

return r;

r tn nnr tn nn

n nn

p x

z x

n nn

p x

List z = reverse(x);

List x = reverse(p);List y = reverse(q);

q yn nn

n nn t

q yn nn

pn n

n

Outline

Motivating example• Why semantics• Localized Heap Storeless Semantics • Shape abstraction

Abstract Interpretation[Cousot and Cousot, POPL ’77]

Operational semantics

Abstract transformer

Introducing local heap semantics

Operational semantics

Abstract transformer

Local heap Operational semantics

~’ ’

Part I

Part II

Outline

Motivating example Why semantics• LSL: Localized Heap Storeless Semantics • Shape abstraction

Programming model

• Single threaded• Procedures

Value parametersRecursion

• Heap Recursive data structuresDestructive update No explicit addressing (&, cast)

Simplifying assumptions

• No primitive values (reference only)• No globals• Formals not modified

0x10

0x12

0x14

0x11

0x12

0x13

0x14

0x00x15

x0x10…

n

n

Store-based semantics

• Object address• Memory state:

• Object: FieldIdAddress• Heap: AddressObject

Natural Addresses do not affect

shape x

~

0x12

0x0

0x10

x0x14…

n

n

Storeless semantics

• No addresses• Memory state:

• Object: 2Access paths

• Heap: 2Object

• Alias analysis

y=x

xn n

x x.n x.n.n

x=null

x n nxy

x.ny.n

x.n.ny.n.ny

yn ny y.n y.n.n

static void main() {

}

static List reverse(List t) {

return r;}

Example

x

List z = reverse(x);

p x.n.nn nx.n.n.n

pxx.n

n

y.n.nn

yy.nn yq y.n.n

nyy.n

n yq

t.n.nt.n.n.n tt.n

t.n.nn n

t.n.n.n tt.nn t

tn n nList x = reverse(p);List y = reverse(q);

r.nn n

rt

r.n.n.nr.n.n

n t

rr.n

n nr

tr.n.n.n

r.n.nn t

r

z.nn n

zx

z.n.n.nz.n.n

nz x

p?

static void main() {

}

static List reverse(List t) {

return r;}

Example

x

List z = reverse(x);

p x.n.nn nx.n.n.n

pxx.n

n

y.n.nn

yy.nn yq y.n.n

nyy.n

n yq

t.n.nt.n.n.n

L t t.n

t.n.nn nt.n.n.n

Ltt.n

nL t

L tn n nList x = reverse(p);List y = reverse(q);

L.nr.n

n nLr

t L.n.n.nr.n.n.n

L.n.nr.n.n

nL t

r

L.nr.n

n nLr

t L.n.n.nr.n.n.n

L.n.nr.n.n

n tL

r

p.nz.n

n npz

x p.n.n.nz.n.n.n

p.n.nz.n.n

nz xp

Cutpoint labels

• Relate pre-state with post-state• Additional roots • Mark cutpoints at and throughout an

invocation

Cutpoint labels

• Cutpoint label: the set of access paths that point to a cutpoint • when the invoked procedure starts

L t.n.nt.n.n.n

L t t.n t

L {t.n.n.n}

Sharing patterns

• Cutpoint labels encode sharing patterns

L tt.n.nn nt.n.n.n

L tt.n

n L tt.n.nn nt.n.n.n

L tt.n

n

p wn

ww.nn

L {t.n.n.n}

Stack sharing Heap sharing

Memory states

L = CPL,A

Lr.nL.n

rL

t, r.n.n.nL.n.n.n

r.n.nL.n.n

t

L={h.n.n.n}r n n n

{t.n.n.n} ,{ r ,{t.n.n.n}},

{r.n, {t.n.n.n}.n},{r.n, {t.n.n.n}.n.n},

{ t, r.n.n.n, {t.n.n.n}.n.n.n}

Formal semantics Ordinary statements

Procedure call semantics

Observational equivalence

L L (Local-heap Storeless Semantics)

G G (Global-heap Store-based Semantics)

L and G observationally equivalent

when for every access paths , = (L) = (G)

Main theorem: semantics equivalence

L L (Local-heap Storeless Semantics)

G G (Global-heap Store-based Semantics)

L and G observationally equivalent

st, L L st, G G

L and L are observationally equivalent

LSL GSB

Corollaries

• Preservation of invariants =

• Detection of memory leaks

Application

• Justify soundness of static analysis• May-alias analysis [TAU-TR-26/04]

• Shape Analysis

Outline

Motivating example Why semantics LSL: Localized Heap Storeless Semantics • Shape abstraction

Shape Abstraction

• Shape descriptors represent unbounded memory states• Conservatively• Bounded way

A Shape abstraction

Lr.nL.n

rL

t, r.n.n.nL.n.n.n

r.n.nL.n.n

t

L={t.n.n.n}

r n n n

A Shape abstraction

L tr n n nr.n

L.nrL

t, r.n.n.nL.n.n.n

r.n.nL.n.n

L=*

A Shape abstraction

Lt

r n nn

L=*

A Shape abstraction

Lt

r n nn

Lr.nL.n

rL

t, r.n.n.nL.n.n.n

r.n.nL.n.n

tr n n n

L={t.n.n.n}

L=*

L1={h.n}

A Shape abstraction

Lt

r n nn

L1

L1r.n

rt, L2.n, L1.n.n,r.n.n.n

L2, L1.n,r.n.n

tn n n

L2={h.n.n}L2

L=*

Application (joint work with Eran Yahav)

• A framework shape analysis using local heaps

• Parametric abstraction• Local heap (lists, trees, …)• Sharing patterns

Application

• Single threaded Java programs• Properties proved

• Absence of null derferences• Listness preservation• API conformance

• Recursive Iterative• Procedural abstraction

Procedural abstraction

Inline Procedure Call

 Program MB Sec MB Sec

crt3 22.3 5.4 22.0 6.4

crt3x3 50.7 27.0 26.2 9.2

Recursion vs. Iteration  Iterative Recursive

 Program MB Sec. MB Sec

create 19.7 10.9 19.3 9.3

find 22.3 21.3 23.5 35.8

insert 23.3 41.2 23.3 41.2

delete 23.2 42.0 24.8 45.3

append 25.1 17.2 25.6 20.2

reverse 23.6 23.7 24.0 33.7

revApp 26.0 45.7 26.5 46.8

merge 25.9 579.7 27.8 91.9

splice 25.5 70.1 26.1 36.9

Democlass List {int d; List n; static List reverse(List t) { if (t == null || t.n == null) return t; List tn = t.n; t.n = null; List r = reverse(tn); tn.n = t; return r;}

static void main() { List p = create(4); List q = create(3); List x = reverse(p); List y = reverse(q); List z = reverse(x);}

Related work

• Storeless semantics• Jonkers, Algorithmic Languages ‘81 • Deutsch, ICCL ‘92

Related work

• Interprocedural shape analysis• Rinetzky and Sagiv, CC ’01

• Global heap

• Jeannet et al., SAS ’04 • Local heap, relational

• Chong and Rugina, SAS ’03• Local heap

• Hackett and Rugina, POPL ’05• Staged analysis

Related work

• Local reasoning• Ishtiaq and O’Hearn, POPL ‘01• Reynolds, LICS ’02• •

Summary

• Operational semantics • Storeless • Local heap• Cutpoints • Equivalence theorem

• Applications • Shape analysis• May-alias analysis

End

www.cs.tau.ac.il/~maon

A Semantics for procedure local heaps and its abstraction

Noam Rinetzky, Jörg Bauer, Thomas Reps, Mooly Sagiv, and Reinhard Wilhelm

AVACS Technical Report 1

Interprocedural functional shape analysis using local heaps

Noam Rinetzky, Mooly Sagiv, and Eran Yahav

School of Computer Science, Tel Aviv University, Technical Report 26/04