Paper Info
Title
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.
Year
DOI
Venue
2012
10.1145/2228360.2228428
DAC
Keywords
Field
DocType
bloom filter,design space,execution-based simulator,specific noc,space efficiency,application-specific usage,benchmark program,different consideration,parallel object detection program,noc design space,novel design,novel dependency-aware traffic generator,semantics,core network,bloom filters,satisfiability,dependency,integrated circuit design,chip,space exploration,network on chip,accuracy,traffic generator,benchmark testing
Traffic generation model,Bloom filter,Object detection,Computer science,Network on a chip,Real-time computing,Electronic engineering,Space exploration,Integrated circuit design,Semantics,Benchmark (computing)
Conference
Citations 
PageRank 
References 
6
0.47
10
Authors
5
Name
Order
Citations
PageRank
Yoshi Shih-Chieh Huang1312.73
Yu-chi Chang2466.27
Tsung-Chan Tsai360.47
Yuan-Ying Chang4243.03
Chung-Ta King545074.71