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Existential types provide a simple and elegant foundation for understanding generative abstract data types, of the kind supported by the Standard ML module system. However, in attempting to extend ML with support for recursive modules, we have found that the traditional existential account of type generativity does not work well in the presence of mutually(More)
Effective support for custom proof automation is essential for large scale interactive proof development. However, existing languages for automation via *tactics* either (a) provide no way to specify the behavior of tactics within the base logic of the accompanying theorem prover, or (b) rely on advanced type-theoretic machinery that is not easily(More)
interfaces for them. These dependencies can then be instantiated with multiple different modules during the execution of the program, enabling a powerful form of code reuse.1 Nevertheless, despite its strengths, the ML module system is not in a fully evolved state. One prominent weakness is that module interdependencies in ML are restricted to be acyclic,(More)
In the interest of designing a recursive module extension to ML that is as simple and general as possible, we propose a novel type system for general recursion over effectful expressions. The presence of effects seems to necessitate a backpatching semantics for recursion similar to that of Scheme. Our type system ensures statically that recursion is(More)
Modular programming and modular verification go hand in hand, but most existing logics for concurrency ignore two crucial forms of modularity: *higher-order functions*, which are essential for building reusable components, and *granularity abstraction*, a key technique for hiding the intricacies of fine-grained concurrent data structures from the clients of(More)
Reasoning about program equivalence is one of the oldest problems in semantics. In recent years, useful techniques have been developed, based on bisimulations and logical relations, for reasoning about equivalence in the setting of increasingly realistic languages - languages nearly as complex as ML or Haskell. Much of the recent work in this direction has(More)
We present Iris, a concurrent separation logic with a simple premise: monoids and invariants are all you need. Partial commutative monoids enable us to express---and invariants enable us to enforce---user-defined *protocols* on shared state, which are at the conceptual core of most recent program logics for concurrency. Furthermore, through a novel(More)