Demo Data from VLDB 2026 / reviewers in the wild / expert
Angelika Zobel
dblp:78/861
· DBLP profile ↗
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
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
parallelizing compiler |
0.0 | 1 | 1989 | Parallel Compilation for a Parallel Machine · PLDI 1989 |
Distributed systems
distributed compilation |
0.0 | 1 | 1989 | 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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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 MachineabstractAn 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 |
PLDI | 2 |