Demo Data from VLDB 2026 / reviewers in the wild / expert
Joseph P. Bratt
dblp:97/565
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 1989
—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.
| 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 |
Processor architecture and microarchitecture · 50% Parallel and multicore computing · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
loop optimization |
0.0 | 1 | 1989 | Overlapped Loop Support in the Cydra 5 · ASPLOS 1989 |
Compilers and program optimization › instruction scheduling
software pipelining |
0.0 | 1 | 1989 | Overlapped Loop Support in the Cydra 5 · ASPLOS 1989 |
Parallel and multicore computing › parallel scheduling
loop scheduling |
0.0 | 1 | 1989 | Overlapped Loop Support in the Cydra 5 · ASPLOS 1989 |
Processor architecture and microarchitecture › instruction-level parallelism
VLIW |
0.0 | 1 | 1989 | Overlapped Loop Support in the Cydra 5 · ASPLOS 1989 |
Methods — techniques the papers use, named apart from their topics
loop unrolling · 0.0VLIW compilation · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | Overlapped Loop Support in the Cydra 5abstractThe CydraTM 5 architecture adds unique support for overlapping successive iterations of a loop to a very long instruction word (VLIW) base. This architecture allows highly parallel loop execution for a much larger class of loops than can be vectorized, without requiring the unrolling of loops usually used by compilers for VLIW machines. This paper discusses the Cydra 5 loop scheduling model, the special architectural features which support it, and the loop compilation techniques used to take full advantage of the architecture. James C. Dehnert, Peter Y.-T. Hsu, Joseph P. Bratt |
ASPLOS | 3 |