PLDI 2019 (series) / DPA 2019 (series) / Workshop on Declarative Program Analysis /
Tunable abstract abstract machines
In this talk I will discuss abstracting abstract machines (AAM), a systematic methodology for extracting analyses, using the theory of abstract interpretation, from abstract-machine-based language semantics. I will focus especially on how to tune the polyvariance of such analyses and trade off precision and complexity. I will discuss advantages and challenges of this approach in the context of declarative languages for program analysis.
I am an Asst. Professor at the University of Alabama, Birmingham and work on program analysis, verification, language design, declarative analyses, high performance logic solving, and related topics. Visit my website for more: gilray.org
Sun 23 JunDisplayed time zone: Tijuana, Baja California change
Sun 23 Jun
Displayed time zone: Tijuana, Baja California change
14:00 - 15:30 | |||
14:00 30mTalk | Now You See Me, Now You Don't: Querying with Hybrid Temporal Logic DPA Mistral Contrastin University of Cambridge, UK | ||
14:30 30mTalk | Assertion-based Guidance of Top-down Horn Clause-based Analysis in CiaoPP DPA Manuel Hermenegildo IMDEA Software Institute and T.U. of Madrid (UPM) | ||
15:00 30mTalk | Tunable abstract abstract machines DPA Thomas Gilray The University of Alabama at Birmingham |