Rely-Guarantee-Based Simulation for Concurrent Program Transformations

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Explore a rely-guarantee-based simulation approach for verifying concurrent program transformations, including compilers for concurrent programs, fine-grained implementations, and software transactional memory. Learn about defining correctness, compositionality, and verification aspects in the context of concurrent program transformations.


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  1. A Rely-Guarantee-Based Simulation for Verifying Concurrent Program Transformations Hongjin Liang, Xinyu Feng & Ming Fu Univ. of Science and Technology of China

  2. Concurrent program transformations: Compilers for concurrent programs Source code Multithreaded Java programs T Target code Java bytecode

  3. Concurrent program transformations: Compilers for concurrent programs Fine-grained impl. of algorithms & objects local d,t; d = 0; T while(d==0){ x++; t = x; d = cas(&x, t, t+1); } Impl. of x++;

  4. Concurrent program transformations: Compilers for concurrent programs Fine-grained impl. of algorithms & objects Impl. of software transactional memory (STM) Atomic block (transaction) fine-grained impl.

  5. Concurrent program transformations: Compilers for concurrent programs Fine-grained impl. of algorithms & objects Impl. of software transactional memory (STM) Impl. of concurrent garbage collectors (GC) How to verify such a transformation T ?

  6. How to define correctness of T ? T: Source Target Print a rectangle. C O C T Print a square. Print a triangle. O refinement O C: O has no more observable behaviors (e.g. I/O events by print( )) than C.

  7. How to define correctness of T ? T: Source Target Correct(T): C, O. O = T(C) O C O C: O has no more observable behaviors (e.g. I/O events by print( )) than C.

  8. To verify a concurrent program transformation T : O1 C1 O2 C2 (Compositionality) O1 || O2 C1 || C2 Correct(T): T(C) C for trans. unit C C, O. O = T(C) O C

  9. O1 C1 O1 || O2 C1 || C2 O2 C2 is NOT compositional w.r.t. parallel composition: O: C: local t; x++; t = x; print( x ); x = t + 1; print( x ); We have O C, since output(O) output(C) ; but we do NOT have O||O C||C .

  10. Our contribution: RGSim = Rely/Guarantee + Simulation Compositional w.r.t. parallel composition A proof theory for verifying T Stronger than O C Applications: optimizations, fine-grained obj., concurrent GC,

  11. Background: simulation in CompCert [Leroy et al.] Source state e* * (C, ) (C , ) (C , ) observable event (e.g. I/O) Target state e (O, ) (O , ) (O , )

  12. Simulation in CompCert [Leroy et al.] Can verify T for sequential programs NOT compositional w.r.t. parallel composition O: C: local t; x++; t = x; print( x ); x = t + 1; We have O C , but not O||O C||C print( x );

  13. Simulation in CompCert [Leroy et al.] Can verify T for sequential programs NOT compositional w.r.t. parallel composition Consider NO environments Simulation in process calculus (e.g. CCS [Milner et al.]) Assume arbitrary environments Compositional Too strong: limited applications

  14. Assuming arbitrary environments e * *(C , ) (C, ) (C , ) env (C , ) e (O, ) (O , ) env (O , ) (O , ) Too strong to be satisfied, since env. can be arbitrarily bad. In practice, T has assumptions about C & env.

  15. T has assumptions about source code Compilers for concurrent programs Prog. with data races has no semantics (e.g. concurrent C++) Not guarantee correctness for racy programs [Boehm et al. PLDI 08] Fine-grained objects Accesses use same primitives (e.g. stack: push & pop) Not guarantee correctness when env. can destroy obj. More examples are in the paper Env. of a thread cannot be arbitrarily bad !

  16. Problems of existing simulations : Considers no env. in CompCert [Leroy et al.] NOT compositional w.r.t. parallel composition Assumes arbitrary env. in process calculus (e.g. [Milner et al.]) Too strong: limited applications Our RGSim : Parameterized with the interference with env. Compositional More applications Use rely/guarantee to specify the interference

  17. What is rely/guarantee?[Jones'83] r: acceptable environment transitions g: state transitions made by the thread Thread1 Thread2 x = x y = y r1: r2: Nobody else would update y y = y Nobody else would update x g1: x = x g2: I guarantee I would not touch x I guarantee I would not touch y Compatibility (Interference Constraints): g2 r1 and g1 r2

  18. RGSim = Rely/Guarantee + Simulation e* G * * (C, ) (C , ) (C , ) (C , ) G R e (O, ) (O , ) (O , ) (O , ) g r g (O, r, g) (C, R, G)

  19. Soundness theorem If we can find r, g, R and G such that (O, r, g) (C, R, G) O C then we have:

  20. Parallel compositionality (O1, r1, g1) (C1, R1, G1) (O2, r2, g2) (C2, R2, G2) g1 r2 g2 r1 G1 R2 G2 R1 (PAR) (O1||O2, r1 r2, g1 g2) (C1||C2, R1 R2, G1 G2)

  21. More on compositionality (O1, r, g) (C1, R, G) (O2, r, g) (C2, R, G) (O1; O2, r, g) (C1; C2, R, G) (O, r, g) (C, R, G) b B (while b do O, r, g) (while B do C, R, G) An axiomatic proof system for verifying T

  22. We have applied RGSim to verify Optimizations in parallel contexts Loop invariant hoisting, strength reduction and induction variable elimination, dead code elimination, Fine-grained impl. & concurrent objects Lock-coupling list, impl. of x++, Treiber s non-blocking stack, concurrent GCD algorithm, Concurrent garbage collectors A general GC verification framework Hans Boehm s concurrent GC [Boehm et al. 91]

  23. Application: concurrent GC verification Programmer s view of execution: || AbsGC read x write x, v alloc Turns garbage into reusable memory T Real execution: || GC code rB(x) wB(x, v) aB() Concurrent GC impl. = Barriers + GC code How to define Correct(GC) ? Reduce to Correct(T) ! C. T(C) || GC code C || AbsGC

  24. A concurrent GC verification framework C. T(C) || GC code C || AbsGC (T(C) || GC code, r , g ) (C || AbsGC, R , G ) (GC code, r, g) (AbsGC, R, G) Compositionality (T(C), r , g ) (C, R , G ) & Compositionality r, g {p} GC code{q} g G (rB(x), r , g ) (read x, R , G ) (wB(x, v), r , g ) ((write x, v), R , G ) (aB(), r , g ) (alloc, R , G ) [Jones 83] We have verified Hans Boehm s concurrent GC algo [Boehm et al. 91]

  25. Conclusion RGSim = Rely/Guarantee + Simulation Idea: parameterized with interference with env. Compositional! A proof theory for verifying T Optimizations, fine-grained obj., concurrent GC, http://kyhcs.ustcsz.edu.cn/relconcur/rgsim

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