Tobias Schlatter

dblp:39/4043 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Software engineering, systems software and programming languages · 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.

Software engineering, system software, and programming languages
1 paper
Compilers and program optimization · 77% Programming languages and type systems · 23%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Parallel and multicore computing · 100%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Compilers and program optimization › interprocedural optimization
whole-program optimization
0.212016
Parallel incremental whole-program optimizations for Scala.js · OOPSLA 2016
Parallel and multicore computing
parallelizing compiler
0.212016
Parallel incremental whole-program optimizations for Scala.js · OOPSLA 2016
YearPublicationVenuePosition
2016 Parallel incremental whole-program optimizations for Scala.js
abstract
Whole-program optimizations are powerful tools that can dramatically improve performance, size and other aspects of programs. Because they depend on global knowledge, they must typically be reapplied to the whole program when small changes are made, which makes them too slow for the development cycle. This is an issue for some environments that require, or benefit a lot from, whole-program optimizations, such as compilation to JavaScript or to the Dalvik VM, because their development cycle is slowed down either by the lack of optimizations, or by the time spent on applying them.
Sébastien Doeraene, Tobias Schlatter
OOPSLA2