Demo Data from VLDB 2026 / reviewers in the wild / expert
Matthew E. Torok
dblp:126/2063
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1
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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Parallel and multicore computing · 77% GPUs and heterogeneous computing · 23% | |
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% |
Topics — the 1 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
GPUs and heterogeneous computing
GPU compilation |
0.0 | 1 | 2013 | Parallel schedule synthesis for attribute grammars · PPoPP 2013 |
Methods — techniques the papers use, named apart from their topics
parallel schedule synthesis · 0.3attribute grammars · 0.2attribute grammar · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Parallel schedule synthesis for attribute grammarsabstractWe examine how to synthesize a parallel schedule of structured traversals over trees. In our system, programs are declaratively specified as attribute grammars. Our synthesizer automatically, correctly, and quickly schedules the attribute grammar as a composition of parallel tree traversals. Our downstream compiler optimizes for GPUs and multicore CPUs. Leo A. Meyerovich, Matthew E. Torok, Eric Atkinson, Rastislav Bodík |
PPoPP | 2 |