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, Rafael Kioji Vivas Maeda, Haoran Li, Zhehui Wang, Luan H.K. Duong, Peng Yang, Zhifei Wang, Xuanqi Chen, 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: Zhe Wang, Weichen Liu, Xiaowen Wu, Xuan Wang, Yaoyao Ye, Mahdi Nikdast
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.
Copyright © 2007-2018 The Hong Kong University of Science and Technology
All rights reserved.
Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met.
THIS SOFTWARE IS PROVIDED BY THE HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY ``AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE HONG KONG UNIVERSITY OF SCIENCE AND TECHNOLOGY BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.