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Tsung-Chan Tsai

dblp:55/11466 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2012
—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
Interconnection networks and networks-on-chip · 62% Performance modeling and evaluation · 38%

Topics — the 2 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Performance modeling and evaluation › simulation › architectural simulation
execution-driven simulation
0.012012
Attackboard: a novel dependency-aware traffic generator for exploring NoC design space · DAC 2012
Performance modeling and evaluation › simulation
simulation-based evaluation
0.012012
Attackboard: a novel dependency-aware traffic generator for exploring NoC design space · DAC 2012

Methods — techniques the papers use, named apart from their topics

bloom filter · 0.1
YearPublicationVenuePosition
2012 Attackboard: a novel dependency-aware traffic generator for exploring NoC design space
abstract
Network-on-chip (NoC) is very important for many applications, such as many-core architectures and application-specific usages. For exploring the design space, several approaches have been proposed with different considerations. In this paper, inspired by bloom filters, we propose Attackboard, a novel design for exploring the design space of NoC, which satisfies accuracy, space efficiency, and simplicity. To justify the usage of Attackboard, a parallel object detection program is used as the benchmark program to evaluate the performance of a specific NoC. By comparing the results with an execution-based simulator, it shows that Attackboard simultaneously achieves the requirements of fast speed, simplicity, and accuracy.
Yoshi Shih-Chieh Huang, Yu-Chi Chang, Tsung-Chan Tsai, Yuan-Ying Chang, Chung-Ta King
DAC3