Advertisement

Bounded Linear Types in a Resource Semiring

  • Dan R. Ghica
  • Alex I. Smith
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8410)

Abstract

Bounded linear types have proved to be useful for automated resource analysis and control in functional programming languages. In this paper we introduce a bounded linear typing discipline on a general notion of resource which can be modeled in a semiring. For this type system we provide both a general type-inference procedure, parameterized by the decision procedure of the semiring equational theory, and a (coherent) categorical semantics. This could be a useful type-theoretic and denotational framework for resource-sensitive compilation, and it represents a generalization of several existing type systems. As a non-trivial instance, motivated by hardware compilation, we present a complex new application to calculating and controlling timing of execution in a (recursion-free) higher-order functional programming language with local store.

Keywords

Type System Linear Logic Derivation Tree Type Inference Resource Action 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Download to read the full conference paper text

References

  1. 1.
    Boudol, G.: The lambda-calculus with multiplicities (abstract). In: Best, E. (ed.) CONCUR 1993. LNCS, vol. 715, pp. 1–6. Springer, Heidelberg (1993)Google Scholar
  2. 2.
    Brunel, A., Gaboardi, M., Mazza, D., Zdancewic, S.: A core quantitative coeffect calculus. In: Shao, Z. (ed.) ESOP 2014. LNCS, vol. 8410, pp. 351–370. Springer, Heidelberg (2014)Google Scholar
  3. 3.
    Crary, K., Weirich, S.: Resource bound certification. In: POPL 2000, pp. 184–198. ACM, New York (2000)Google Scholar
  4. 4.
    Lago, U.D., Gaboardi, M.: Linear Dependent Types and Relative Completeness. Logical Methods in Computer Science 8(4) (2011)Google Scholar
  5. 5.
    Dal Lago, U., Hofmann, M.: Bounded linear logic, revisited. In: Curien, P.-L. (ed.) TLCA 2009. LNCS, vol. 5608, pp. 80–94. Springer, Heidelberg (2009)CrossRefGoogle Scholar
  6. 6.
    Lago, U.D., Petit, B.: The geometry of types. In: Giacobazzi, R., Cousot, R. (eds.) POPL, pp. 167–178. ACM (2013)Google Scholar
  7. 7.
    Dan, R.: Ghica. Slot games: a quantitative model of computation. In: POPL 2005, Long Beach, California, USA, January 12-14, pp. 85–97. ACM (2005)Google Scholar
  8. 8.
    Dan, R.: Ghica. Geometry of Synthesis: a structured approach to VLSI design. In: Hofmann, M., Felleisen, M. (eds.) POPL, pp. 363–375. ACM (2007)Google Scholar
  9. 9.
    Ghica, D.R., Murawski, A.S.: Compositional model extraction for higher-order concurrent programs. In: Hermanns, H., Palsberg, J. (eds.) TACAS 2006. LNCS, vol. 3920, pp. 303–317. Springer, Heidelberg (2006)CrossRefGoogle Scholar
  10. 10.
    Ghica, D.R., Murawski, A.S., Luke Ong, C.-H.: Syntactic control of concurrency. Theor. Comput. Sci. 350(2-3), 234–251 (2006)CrossRefzbMATHGoogle Scholar
  11. 11.
    Ghica, D.R., Smith, A.: Geometry of synthesis iii: resource management through type inference. In: Ball, T., Sagiv, M. (eds.) POPL, pp. 345–356. ACM (2011)Google Scholar
  12. 12.
    Ghica, D.R., Smith, A.: From bounded affine types to automatic timing analysis. CoRR, abs/1307.2473 (2013)Google Scholar
  13. 13.
    Girard, J.Y., Scedrov, A., Scott, P.J.: Bounded linear logic: a modular approach to polynomial-time computability. Theoretical Computer Science 97(1), 1–66 (1992)CrossRefzbMATHMathSciNetGoogle Scholar
  14. 14.
    Hofmann, M.: Linear types and non-size-increasing polynomial time computation. In: LICS, pp. 464–473. IEEE Computer Society (1999)Google Scholar
  15. 15.
    Kelly, G.M.: On MacLane’s conditions for coherence of natural associativities, commutativities, etc. Journal of Algebra 1(4), 397–402 (1964)CrossRefzbMATHMathSciNetGoogle Scholar
  16. 16.
    Laird, J., Manzonetto, G., McCusker, G., Pagani, M.: Weighted relational models of typed lambda-calculi. In: LICS, pp. 301–310. IEEE Computer Society (2013)Google Scholar
  17. 17.
    Melliès, P.-A., Tabareau, N.: An algebraic account of references in game semantics. Electr. Notes Theor. Comput. Sci. 249, 377–405 (2009)CrossRefGoogle Scholar
  18. 18.
    Melliès, P.-A., Tabareau, N.: Resource modalities in tensor logic. Ann. Pure Appl. Logic 161(5), 632–653 (2010)CrossRefzbMATHMathSciNetGoogle Scholar
  19. 19.
    Milner, R.: A theory of type polymorphism in programming. Journal of Computer and System Sciences 17(3), 348–375 (1978)CrossRefzbMATHMathSciNetGoogle Scholar
  20. 20.
    de Moura, L., Bjørner, N.S.: Z3: An efficient SMT solver. In: Ramakrishnan, C.R., Rehof, J. (eds.) TACAS 2008. LNCS, vol. 4963, pp. 337–340. Springer, Heidelberg (2008)CrossRefGoogle Scholar
  21. 21.
    O’Hearn, P.W.: On bunched typing. J. Funct. Program. 13(4), 747–796 (2003)CrossRefzbMATHMathSciNetGoogle Scholar
  22. 22.
    Reynolds, J.C.: The essence of ALGOL. In: ALGOL-like Languages, vol. 1, pp. 67–88. Birkhauser Boston Inc. (1997)Google Scholar
  23. 23.
    John, C.: Reynolds. Syntactic control of interference. In: Aho, A.V., Zilles, S.N., Szymanski, T.G. (eds.) POPL, pp. 39–46. ACM Press (1978)Google Scholar
  24. 24.
    Smith, A.: Type-directed hardware synthesis. PhD thesis, University of Birmingham (forthcoming)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Dan R. Ghica
    • 1
  • Alex I. Smith
    • 1
  1. 1.University of BirminghamUK

Personalised recommendations

Cite paper