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 | |||
| 14:0030m Talk | Now You See Me, Now You Don't: Querying with Hybrid Temporal Logic DPA Mistral Contrastin University of Cambridge, UK | ||
| 14:3030m Talk | Assertion-based Guidance of Top-down Horn Clause-based Analysis in CiaoPP DPA Manuel Hermenegildo IMDEA Software Institute and T.U. of Madrid (UPM) | ||
| 15:0030m Talk | Tunable abstract abstract machines DPA Thomas Gilray The University of Alabama at Birmingham | ||
