EDBT 2026 Demo / reviewers in the wild / expert
Jun Kohdate
dblp:125/2403
· 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 · 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 · 61% Electronic design automation · 30% Performance modeling and evaluation · 9% |
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
dataflow computing |
0.0 | 1 | 1989 | A preceding activation scheme with graph unfolding for the parallel processing system-array · SC 1989 |
Electronic design automation › high-level synthesis › scheduling
dataflow graph scheduling |
0.0 | 1 | 1989 | A preceding activation scheme with graph unfolding for the parallel processing system-array · SC 1989 |
Parallel and multicore computing
parallel program transformation |
0.0 | 1 | 1989 | A preceding activation scheme with graph unfolding for the parallel processing system-array · SC 1989 |
Performance modeling and evaluation › simulation
simulation-based evaluation |
0.0 | 1 | 1989 | A preceding activation scheme with graph unfolding for the parallel processing system-array · SC 1989 |
Methods — techniques the papers use, named apart from their topics
graph unfolding · 0.0dataflow graph construction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1989 | A preceding activation scheme with graph unfolding for the parallel processing system-arrayabstractThe purpose of this paper is to propose and evaluate a new scheme, called the Preceding Activation Scheme with Graph Unfolding, which translates a FORTRAN program into a dataflow graph and executes it efficiently. The problems in restructuring a FORTRAN program into a dataflow graph are that (1) a FORTRAN program is not written in a single assignment rule and (2) it has an explicit control flow. These problems result in little parallelism because many gate-operations, such as T/F gates, are introduced in the dataflow graph to synchronize the data movement. Therefore, discarding these gate-operations is the key to exposing parallelism in a FORTRAN program. In this paper, the preceding activation scheme with graph unfolding is proposed to discard these gate-operations. Then, the result of the performance evaluation by the -Harray- software simulator is presented. It is shown that the execution speed with the proposed scheme for flow graphs without backward branches is about 1.5 times as fast as that with the extended activation scheme which initiates the execution only after it is confirmed that a basic block will be selected at a conditional branch. Moreover, the execution speed is 2.7 times as fast as that with the extended activation scheme if a flow graph including backward branches are unfolded by the proposed scheme. Hayato Yamana, Takashi Hagiwara, Jun Kohdate, Yoichi Muraoka |
SC | 3 |