Answer Set Programming for Egg Extraction and More
Three years ago, Philip Zucker posted an attempt to use answer set programming (ASP) for term extraction from e-graphs Although the task is NP-hard and ASP offers a natural modelling of e-graph terms, the initial attempt did not yield convincing results.
From the aspect of practical ASP users, we first pinpoint the way to make ASP work and work well on the task of e-graph extraction. The initial results show the naïve ASP encoding is comparable on efficiency to the well-optimised ILP-based exact DAG extraction in the extraction-gym, and find several extra optimal extraction on the complex instances. This leads us to a further agenda: with the “better together” of egg+Datalog, is there a better “better together” by having ASP as a more powerful Datalog? We discuss the potential benefit from each other.
Mon 15 JunDisplayed time zone: Mountain Time (US & Canada) change
13:40 - 15:20 | |||
13:40 25mTalk | Rewrite System Showdown: Stochastic Search vs. EqSat EGRAPHS Qiantan Hong Stanford University, Rupanshu Soi Stanford University, Yihong Zhang University of Washington, Alex Aiken Stanford University Pre-print | ||
14:05 25mTalk | A Joint Approach to Instruction Scheduling and Algebraic Rewriting with E-Graphs EGRAPHS | ||
14:30 25mTalk | Answer Set Programming for Egg Extraction and More EGRAPHS Pre-print | ||
14:55 25mTalk | CERES: Making Equality Saturation Memory-Scalable EGRAPHS Akash Pardeshi University of Illinois at Urbana-Champaign, Devansh Jain University of Illinois at Urbana-Champaign, Saatvik Lochan University of Illinois Urbana-Champaign, Mihir Tandon University of Illinois Urbana-Champaign, Marco Frigo University of Illinois at Urbana-Champaign, Chamika Sudusinghe University of Illinois at Urbana-Champaign, Damitha Lenadora University of Illinois at Urbana-Champaign, Charith Mendis University of Illinois at Urbana-Champaign | ||