POPL 2025 (series) / POPL Research Papers /
RE#: High Performance Derivative-Based Regex Matching with Intersection, Complement and Restricted Lookarounds
We present a tool and theory RE# for regular expression matching that is built on derivatives, does not use backtracking, and, in addition to the classical operators, also supports complement, intersection and restricted lookarounds. We develop the theory formally and show that the main matching algorithm has input-linear complexity both in theory as well as experimentally. We apply thorough evaluation on popular benchmarks that show that RE# is over 71% faster than the next fastest regex engine in Rust on the baseline, and outperforms all state-of-the-art engines on extensions of the benchmarks often by several orders of magnitude.
Thu 23 JanDisplayed time zone: Mountain Time (US & Canada) change
Thu 23 Jan
Displayed time zone: Mountain Time (US & Canada) change
10:40 - 12:00 | |||
10:40 20mTalk | RE#: High Performance Derivative-Based Regex Matching with Intersection, Complement and Restricted Lookarounds POPL Ian Erik Varatalu Tallinn University of Technology, Estonia, Margus Veanes Microsoft Research, Juhan Ernits Tallinn University of Technology DOI Media Attached | ||
11:00 20mTalk | Pantograph: A Fluid and Typed Structure Editor POPL Jacob Prinz University of Maryland, College Park, Henry Blanchette , Leonidas Lampropoulos University of Maryland, College Park Pre-print Media Attached | ||
11:20 20mTalk | Grove: A Bidirectionally Typed Collaborative Structure Editor Calculus POPL Michael D. Adams National University of Singapore, Eric Griffis University of Michigan, Thomas J. Porter University of Michigan, Sundara Vishnu Satish University of Michigan - Ann Arbor, Eric Zhao Brown University, Cyrus Omar University of Michigan | ||
11:40 20mTalk | Biparsers: Exact Printing for Data Synchronisation POPL |