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Angelika Zobel

dblp:78/861 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 1993
—ORCID · none

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

Software engineering, systems software and programming languages · 2 · 1 first-authorSystems, architecture and hardware · 1 · 1 first-author

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 · 100%
Computer architecture, parallel and distributed computing, and storage systems
1 paper
Distributed systems · 100%

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

TopicWeightPapersLastEvidence papers
Compilers and program optimization
parallelizing compiler
0.011989
Parallel Compilation for a Parallel Machine · PLDI 1989
Distributed systems
distributed compilation
0.011989
Parallel Compilation for a Parallel Machine · PLDI 1989

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

speedup measurement · 0.0program partitioning · 0.0
YearPublicationVenuePosition
1993 Program Structure as Basis for the Parallelization of Global Register Allocation
Angelika Zobel
Comput. Lang.1
1990 Parallel Interval Analysis of Data Flow Equations
Angelika Zobel
ICPP (2)1
1989 Parallel Compilation for a Parallel Machine
abstract
An application for a parallel computer with multiple, independent processors often includes different programs (functions) for the individual processors; compilation of such functions can proceed independently. We implemented a compiler that exploits this parallelism by partitioning the input program for parallel translation. The host system for the parallel compiler is an Ethernet-based network of workstations, and different functions of the application program are compiled in parallel on different workstations. For typical programs in our environment, we observe a speedup ranging from 3 to 6 using not more than 9 processors. The paper includes detailed measurements for this parallel compiler; we report the system overhead, implementation overhead, as well as the speedup obtained when compared with sequential compilation.
Thomas R. Gross, Angelika Zobel, Markus Zolg
PLDI2