As programs for microprocessor architectures, NoC traffic patterns are essential tools for NoC performance assessments and design explorations. The fidelity of NoC traffic patterns has profound influence on NoC studies. This project develops MCSL (multi-constraint system-level) NoC traffic patterns for NoC design and exploration.
Project Member: Zhongyuan Tian, Jiang Xu, Shixi Chen, Xiao Li, Bin Li (Intel), Ravi Iyer (Intel), Ramesh Illikkal (Intel)
Maintained by: Zhongyuan Tian (firstname.lastname@example.org). If there is any inquiry or suggestion, please do not hesitate to contact us.
Past Member: Rafael Kioji Vivas Maeda, Zhe Wang, Weichen Liu, Xiaowen Wu, Peng Yang, Zhehui Wang, Xuan Wang, Yaoyao Ye, Mahdi Nikdast, Luan H.K. Duong
MCSL NoC traffic patterns are based on real applications and covers mesh, torus, and fat-tree NoC architectures. They capture the following key aspects of real applications.
MCSL NoC traffic patterns can be easily incorporated into an NoC or multicore/many-core simulator using the included traffic loader. It is generated by a systematic traffic generation methodology. The methodology uses formal computational models to capture communication, computation, and memory requirements of real applications. It optimizes application mapping and scheduling and memory usages to faithfully maximize overall system performance and utilization before extracting realistic traffic patterns. Experiment results show that MCSL NoC traffic patterns can be used to study NoC characteristics more accurately than traditional random traffic patterns. Current version includes the following applications, and more applications will be added in the coming months.
|RS-32_28_8_enc||Reed-Solomon code encoder with codeword format RS(32,28,8).||262||348|
|RS-32_28_8_dec||Reed-Solomon code decoder with codeword format RS(32,28,8).||182||392|
|H264-720p_dec||H.264 video decoder with a resolution of 720p.||2311||3461|
|H264-1080p_dec||H.264 video decoder with a resolution of 1080p.||5191||7781|
|ROBOT||Newton-Euler dynamic control calculation for the 6-degrees-of-freedom Stanford manipulator.||88||131|
|FPPPP||SPEC95 Fpppp is a chemical program performing multi-electron integral derivatives.||334||1145|
|FFT-1024_complex||Fast Fourier transform with 1024 inputs of complex numbers.||16384||25600|
|SPARSE||Random sparse matrix solver for electronic circuit simulations.||96||67|
Or you can download the full package directly.
MCSL NoC Traffic Patterns are made openly available under the following license. Please cite the following paper if it is used.
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