Demo Data from VLDB 2026 / reviewers in the wild / expert
Erik Nystrom 0001
dblp:84/1599
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1998
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Systems, 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 |
Processor architecture and microarchitecture · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Compilers and program optimization
instruction scheduling |
0.0 | 1 | 1998 | Effective Cluster Assignment for Modulo Scheduling · MICRO 1998 |
Compilers and program optimization › instruction scheduling › software pipelining
modulo scheduling |
0.0 | 1 | 1998 | Effective Cluster Assignment for Modulo Scheduling · MICRO 1998 |
Processor architecture and microarchitecture
clustered architecture |
0.0 | 1 | 1998 | Effective Cluster Assignment for Modulo Scheduling · MICRO 1998 |
Methods — techniques the papers use, named apart from their topics
modulo scheduling · 0.0cluster assignment · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1998 | Effective Cluster Assignment for Modulo SchedulingabstractClustering is one solution to the demand for wide issue machines and fast clock cycles because it allows for smaller, less ported register files and simpler bypass logic while remaining scaleable. Much of the previous work on scheduling for clustered architectures has focused on acyclic code. While minimizing schedule length of acyclic code is paramount, the primary objective when scheduling cyclic code is to maximize the throughput or steady state performance. This paper investigates a pre-modulo scheduling pass that performs cluster assignment in a way that minimizes performance degradation due to explicit communication required as the loops are split over clusters. The proposed cluster assignment algorithm annotates and adjusts the graph for use by the scheduler so that any traditional modulo scheduling algorithm, having no knowledge of clustering, can produce a valid and efficient schedule for a clustered machine. Erik Nystrom 0001, Alexandre E. Eichenberger |
MICRO | 1 |