Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

Erik Nystrom 0001

dblp:84/1599 · DBLP profile ↗
← Back
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

TopicWeightPapersLastEvidence papers
Compilers and program optimization
instruction scheduling
0.011998
Effective Cluster Assignment for Modulo Scheduling · MICRO 1998
Compilers and program optimization › instruction scheduling › software pipelining
modulo scheduling
0.011998
Effective Cluster Assignment for Modulo Scheduling · MICRO 1998
Processor architecture and microarchitecture
clustered architecture
0.011998
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
YearPublicationVenuePosition
1998 Effective Cluster Assignment for Modulo Scheduling
abstract
Clustering 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
MICRO1