Demo Data from EDBT 2026 / reviewers in the wild / expert
Ralph Clarke Haygood
dblp:57/5847
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 1994
—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 · 1Theory of computation · 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Processor architecture and microarchitecture · 100% | |
| Software engineering, system software, and programming languages
1 paper |
Compilers and program optimization · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Processor architecture and microarchitecture
instruction set architecture |
0.0 | 1 | 1990 | Fast Prolog with an Extended General Purpose Architecture · ISCA 1990 |
Compilers and program optimization › compiler construction
prolog compilation |
0.0 | 1 | 1990 | Fast Prolog with an Extended General Purpose Architecture · ISCA 1990 |
Methods — techniques the papers use, named apart from their topics
simulation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1994 | Native Code Compilation in SICStus Prolog
Ralph Clarke Haygood |
ICLP | 1 |
| 1990 | Fast Prolog with an Extended General Purpose ArchitectureabstractMost Prolog machines have been based on specialized architectures. Our goal is to start with a general purpose architecture and determine a minimal set of extensions for high performance Prolog execution. We have developed both the architecture and optimizing compiler simultaneously, drawing on results of previous implementations. We find that most Prolog specific operations can be done satisfactorily in software; however, there is a crucial set of features that the architecture must support to achieve the best Prolog performance. The emphasis of this paper is on our architecture and instruction set. The costs and benefits of the special architectural features and instructions are analyzed. Simulated performance results are presented and indicate a peak compiled Prolog performance of 3.68 million logical inferences per second. Bruce K. Holmer, Barton Sano, Michael J. Carlton, Peter Van Roy, Ralph Clarke Haygood, William R. Bush, Alvin M. Despain, Joan M. Pendleton, Tep P. Dobry |
ISCA | 5 |