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Adam Anderson 0004

dblp:127/6893-4 · DBLP profile ↗
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2ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Software engineering, systems software and programming languages · 2 · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
2 papers
Programming languages and type systems · 41% Program synthesis and code generation · 38% Compilers and program optimization · 20%
Computer graphics and multimedia
1 paper
Geometric modeling and processing · 77% Computational fabrication · 23%
Theoretical computer science
1 paper
Automated reasoning and model checking · 100%

Topics — the 7 heaviest of 8, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Compilers and program optimization
e-graph
0.512021
Rewrite rule inference using equality saturation · Proc. ACM Program. Lang. 2021
Programming languages and type systems › term rewriting
equality saturation
0.512021
Rewrite rule inference using equality saturation · Proc. ACM Program. Lang. 2021
Programming languages and type systems › rewriting systems
rewrite rules
0.512021
Rewrite rule inference using equality saturation · Proc. ACM Program. Lang. 2021
Program synthesis and code generation
rewrite rule inference
0.512021
Rewrite rule inference using equality saturation · Proc. ACM Program. Lang. 2021
Automated reasoning and model checking
equational reasoning
0.512021
Rewrite rule inference using equality saturation · Proc. ACM Program. Lang. 2021
Geometric modeling and processing › solid modeling
constructive solid geometry
0.412020
Synthesizing structured CAD models with equality saturation and inverse transformations · PLDI 2020
Computational fabrication
additive manufacturing
0.112020
Synthesizing structured CAD models with equality saturation and inverse transformations · PLDI 2020

Methods — techniques the papers use, named apart from their topics

equality saturation · 1.9e-graphs · 1.0inverse transformations · 0.9
YearPublicationVenuePosition
2021 Rewrite rule inference using equality saturation
abstract
Many compilers, synthesizers, and theorem provers rely on rewrite rules to simplify expressions or prove equivalences. Developing rewrite rules can be difficult: rules may be subtly incorrect, profitable rules are easy to miss, and rulesets must be rechecked or extended whenever semantics are tweaked. Large rulesets can also be challenging to apply: redundant rules slow down rule-based search and frustrate debugging. This paper explores how equality saturation, a promising technique that uses e-graphs to apply rewrite rules, can also be used to infer rewrite rules. E-graphs can compactly represent the exponentially large sets of enumerated terms and potential rewrite rules. We show that equality saturation efficiently shrinks both sets, leading to faster synthesis of smaller, more general rulesets. We prototyped these strategies in a tool dubbed Ruler. Compared to a similar tool built on CVC4, Ruler synthesizes 5.8× smaller rulesets 25× faster without compromising on proving power. In an end-to-end case study, we show Ruler-synthesized rules which perform as well as those crafted by domain experts, and addressed a longstanding issue in a popular open source tool.
Chandrakana Nandi, Max Willsey, Amy Zhu, Yisu Remy Wang, Brett Saiki, Adam Anderson 0004, Adriana Schulz, Dan Grossman, Zachary Tatlock
Proc. ACM Program. Lang.6
2020 Synthesizing structured CAD models with equality saturation and inverse transformations
abstract
Recent program synthesis techniques help users customize CAD models(e.g., for 3D printing) by decompiling low-level triangle meshes to Constructive Solid Geometry (CSG) expressions. Without loops or functions, editing CSG can require many coordinated changes, and existing mesh decompilers use heuristics that can obfuscate high-level structure.
Chandrakana Nandi, Max Willsey, Adam Anderson 0004, James R. Wilcox, Eva Darulova, Dan Grossman, Zachary Tatlock
PLDI3