In the past decade, significant progress has been made towards design and development of efficient concurrent data structures and algorithms, which take full advantage of parallel computations. Due to sophisticated interference scenarios and a large number of possible interactions between concurrent threads, working over the same shared data structures, ensuring full functional correctness of concurrent programs is challenging and error-prone.
In my talk, through a series of examples, I will introduce Fine-grained Concurrent Separation Logic (FCSL)---a mechanized logical framework for implementing and verifying fine-grained concurrent programs.
FCSL features a principled model of concurrent resources, which, in combination with a small number of program and proof-level commands, is sufficient to give useful specifications and verify a large class of state-of-the-art concurrent algorithms and data structures. By employing expressive type theory as a way to ascribe specifications to concurrent programs, FCSL achieves scalability: even though the proofs for libraries might be large, they are done just once.