EDBT 2026 Demo / reviewers in the wild / expert
Yue-Bong Wong
dblp:61/3759
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 1991
—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 |
Parallel and multicore computing · 50% Performance modeling and evaluation · 50% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Parallel and multicore computing › parallel scheduling
loop scheduling |
0.0 | 1 | 1991 | A Timed Petri-Net Model for Fine-Grain Loop Scheduling · PLDI 1991 |
Parallel and multicore computing
parallel programming models and scheduling |
0.0 | 1 | 1991 | A Timed Petri-Net Model for Fine-Grain Loop Scheduling · PLDI 1991 |
Performance modeling and evaluation
petri net modeling |
0.0 | 1 | 1991 | A Timed Petri-Net Model for Fine-Grain Loop Scheduling · PLDI 1991 |
Performance modeling and evaluation
simulation |
0.0 | 1 | 1991 | A Timed Petri-Net Model for Fine-Grain Loop Scheduling · PLDI 1991 |
Methods — techniques the papers use, named apart from their topics
timed petri nets · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1991 | A Timed Petri-Net Model for Fine-Grain Loop Schedulingabstractarticle Free Access Share on A timed Petri-net model for fine-grain loop scheduling Authors: Guang R. Gao School of Computer Science, McGill University, 3480 University, Montréal, Québec H3A 2A7 School of Computer Science, McGill University, 3480 University, Montréal, Québec H3A 2A7View Profile , Yue-Bong Wong School of Computer Science, McGill University, 3480 University, Montréal, Québec H3A 2A7 School of Computer Science, McGill University, 3480 University, Montréal, Québec H3A 2A7View Profile , Qi Ning School of Computer Science, McGill University, 3480 University, Montréal, Québec H3A 2A7 School of Computer Science, McGill University, 3480 University, Montréal, Québec H3A 2A7View Profile Authors Info & Claims ACM SIGPLAN NoticesVolume 26Issue 6June 1991 pp 204–218https://doi.org/10.1145/113446.113463Published:01 May 1991Publication History 41citation490DownloadsMetricsTotal Citations41Total Downloads490Last 12 Months23Last 6 weeks5 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteeReaderPDF Guang R. Gao, Yue-Bong Wong, Qi Ning |
PLDI | 2 |
| 1990 | Towards efficient fine-grain software pipeliningabstractDataflow software pipelining was proposed as a means of structuring fine-grain parallelism and has been studied mostly under an idealized dataflow architecture model with infinite resources[9]. In this paper, we investigate the effects of software pipelining under realistic architecture models with finite resources. Our target architecture is the McGill Dataflow Architecture which employs conventional pipelined techniques to achieve fast instruction execution, while exploiting fine-grain parallelism via a data-driven instruction scheduler. To achieve optimal execution efficiency, the compiled code must be able to make a balanced use of both the parallelism in the instruction execution unit and the fine-grain synchronization power of the machine. Guang R. Gao, Herbert H. J. Hum, Yue-Bong Wong |
ICS | 3 |