Reconfigure router design and evaluation for the FPGA-friendly SoCWire network-on-chip
Proceedings of the Annual FPGA Conference
Proceedings of the Conference on Design, Automation and Test in Europe
System-level modeling and analysis of thermal effects in optical networks-on-chip
IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Deflection routing in 3D network-on-chip with limited vertical bandwidth
ACM Transactions on Design Automation of Electronic Systems (TODAES) - Special Section on Networks on Chip: Architecture, Tools, and Methodologies
On heterogeneous network-on-chip design based on constraint programming
Proceedings of the Sixth International Workshop on Network on Chip Architectures
Proceedings of Workshop on Parallel Programming and Run-Time Management Techniques for Many-core Architectures and Design Tools and Architectures for Multicore Embedded Computing Platforms
On-chip sensor networks for soft-error tolerant real-time multiprocessor systems-on-chip
ACM Journal on Emerging Technologies in Computing Systems (JETC)
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As benchmark programs for microprocessor architectures, network-on-chip (NoC) traffic patterns are essential tools for NoC performance assessments and architecture explorations. The fidelity of NoC traffic patterns has profound influence on NoC studies. For the first time, this paper presents a realistic traffic benchmark suite, called MCSL, and the methodology used to generate it. The publicly released MCSL benchmark suite includes a set of realistic traffic patterns for 8 real applications and covers popular NoC architectures. It captures not only the communication behaviors in NoCs but also the temporal dependencies among them. MCSL benchmark suite can be easily incorporated into existing NoC simulators and significantly improve NoC simulation accuracy. We developed a systematic traffic generation methodology to create MCSL based on real applications. The methodology uses formal computational models to capture both communication and computation requirements of applications. It optimizes application mapping and scheduling to faithfully maximize overall system performance and utilization before extracting realistic traffic patterns through cycle-accurate simulations. Experiment results show that MCSL benchmark suite can be used to study NoC characteristics more accurately than traditional random traffic patterns.