Demo Data from VLDB 2026 / reviewers in the wild / expert
Fred Homewood
dblp:59/4322
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, architecture and hardware · 1Software 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.
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Processor architecture and microarchitecture · 50% Embedded and real-time systems · 50% | |
| 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-level parallelism › VLIW
VLIW processor |
0.0 | 1 | 2000 | Lx: a technology platform for customizable VLIW embedded processing · ISCA 2000 |
Compilers and program optimization › instruction scheduling
instruction-level parallelism |
0.0 | 1 | 2000 | Lx: a technology platform for customizable VLIW embedded processing · ISCA 2000 |
Methods — techniques the papers use, named apart from their topics
architecture-software co-design · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2000 | Lx: a technology platform for customizable VLIW embedded processingabstractLx is a scalable and customizable VLIW processor technology platform designed by Hewlett-Packard and STMicroelectronics that allows variations in instruction issue width, the number and capabilities of structures and the processor instruction set. For Lx we developed the architecture and software from the beginning to support both scalability (variable numbers of identical processing resources) and customizability (special purpose resources). In this paper we consider the following issues. When is customization or scaling beneficial? How can one determine the right degree of customization or scaling for a particular application domain? What architectural compromises were made in the Lx project to contain the complexity inherent in a customizable and scalable processor family? The experiments described in the paper show that specialization for an application domain is effective, yielding large gains in price/performance ratio. We also show how scaling machine resources scales performance, although not uniformly across all applications. Finally we show that customization on an application-by-application basis is today still very dangerous and much remains to be done for it to become a viable solution. Paolo Faraboschi, Geoffrey Brown, Joseph A. Fisher, Giuseppe Desoli, Fred Homewood |
ISCA | 5 |