Demo Data from EDBT 2026 / reviewers in the wild / expert
David Landskov
dblp:14/5498
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1981
—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.
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 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
instruction scheduling |
0.0 | 1 | 1981 | Some Experiments in Local Microcode Compaction for Horizontal Machines · IEEE Trans. Computers 1981 |
Compilers and program optimization › instruction scheduling
microcode compaction |
0.0 | 1 | 1981 | Some Experiments in Local Microcode Compaction for Horizontal Machines · IEEE Trans. Computers 1981 |
Methods — techniques the papers use, named apart from their topics
list scheduling · 0.0first-come first-served · 0.0critical path · 0.0branch-and-bound · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1981 | Some Experiments in Local Microcode Compaction for Horizontal MachinesabstractMicrocode compaction is an essential tool for the compilation of high-level language microprograms into microinstructions with parallel microoperations. The purpose of the research reported in this paper is to compare four microcode compaction methods reported in the literature: first-come first-served, critical path, branch and bound, and list scheduling. In order to do this a complete, machine independent method of representing the microoperations of real machines had to be developed; and the compaction algorithms had to be recast to use this representation. The compaction algorithms were then implemented and tested on microcode produced by a compiler for a high-level microprogramming language. The results of these experiments were that for all cases examined the first-come first-served and list scheduling algorithms produced microcode compacted into a minimal number of microinstructions in time that was a polynomial function of order two of the number of input microoperations. Scott Davidson 0001, David Landskov, Bruce D. Shriver, Patrick W. Mallett |
IEEE Trans. Computers | 2 |