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何贤浩 等: 面向天河新一代超算的大规模平行城市交通仿真 3707

[5] Shao ML, Cao E, Hu M, Zhang Y, Chen WJ, Chen MS. Traffic light optimization control method for priority vehicle awareness. Ruan
Jian Xue Bao/Journal of Software, 2021, 32(8): 2425–2438 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/6191.
htm [doi: 10.13328/j.cnki.jos.006191]
[6] Ghazal B, ElKhatib K, Chahine K, Kherfan M. Smart traffic light control system. In: Proc. of the 3rd Int’l Conf. on Electrical,
Electronics, Computer Engineering and their Applications. Beirut: IEEE, 2016. 140–145. [doi: 10.1109/EECEA.2016.7470780]
[7] Levinson D. Perspectives on efficiency in transportation. Int’l Journal of Transport Management, 2003, 1(3): 145–155. [doi: 10.1016/j.
ijtm.2004.01.002]
[8] Lü YS, Wang FY, Zhang Y, Zhang XD. Parallel cities: Framework, methodology, and application. Chinese Journal of Intelligent Science
and Technology, 2019, 1(3): 311–317 (in Chinese with English abstract). [doi: 10.11959/j.issn.2096-6652.201932]
[9] Zhang XD, Xu DD, Wang L, Liang H, Lü YS, Wang FY. Model architecture and urban computing for parallel cities based on complex
adaptive systems. Journal of Command and Control, 2021, 7(1): 28–37 (in Chinese with English abstract). [doi: 10.3969/j.issn.2096-0204.
2021.01.0028]
[10] Zhu FH, Lv YS, Chen YY, Wang X, Xiong G, Wang FY. Parallel transportation systems: Toward IoT-enabled smart urban traffic control
and management. IEEE Trans. on Intelligent Transportation Systems, 2020, 21(10): 4063–4071. [doi: 10.1109/TITS.2019.2934991]
[11] Fu ZS, Yu J, Sarwat M. Building a large-scale microscopic road network traffic simulator in Apache Spark. In: Proc. of the 20th IEEE Int’l
Conf. on Mobile Data Management. Hong Kong: IEEE, 2019. 320–328. [doi: 10.1109/MDM.2019.00-42]
[12] Zhu XM, He C, Wang JJ, Jiang JQ. An elastic energy-aware scheduling strategy for heterogeneous computing systems. Chinese Journal
of Computers, 2012, 35(6): 1313–1326 (in Chinese with English abstract). [doi: 10.3724/SP.J.1016.2012.01313]
[13] Wang YR, Li LS, Wang JT, Tian R. Acceleration of smoothed particle hydrodynamics method on CPU-GPU heterogeneous platform.
Chinese Journal of Computers, 2017, 40(9): 2040–2056 (in Chinese with English abstract). [doi: 10.11897/SP.J.1016.2017.02040]
[14] Bian Y, Yuan F, Guo JX, Li Z, Zhao RL. CPU+GPU heterogeneous computing orientated multi-objective test case prioritization. Ruan
Jian Xue Bao/Journal of Software, 2016, 27(4): 943–954 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/4968.htm
[doi: 10.13328/j.cnki.jos.004968]
[15] Lu K, Wang YH, Guo Y, Huang C, Liu S, Wang RB, Fang JB, Tang T, Chen ZY, Liu BW, Liu Z, Lei YW, Sun HY. MT-3000: A
heterogeneous multi-zone processor for HPC. CCF Trans. on High Performance Computing, 2022, 4(2): 150–164. [doi: 10.1007/s42514-
022-00095-y]
[16] Owens JD, Houston M, Luebke D, Green S, Stone JE, Phillips JC. GPU computing. Proc. of the IEEE, 2008, 96(5): 879–899. [doi: 10.
1109/JPROC.2008.917757]
[17] Rofouei M, Stathopoulos T, Ryffel S, Kaiser W, Sarrafzadeh M. Energy-aware high performance computing with graphic processing
units. In: Proc. of the 2008 Conf. on Power Aware Computing and Systems. San Diego: USENIX Association, 2008. 11–15.
[18] Shi L, Chen H, Sun JH, Li KL. vCUDA: GPU-accelerated high-performance computing in virtual machines. IEEE Trans. on Computers,
2012, 61(6): 804–816. [doi: 10.1109/TC.2011.112]
[19] Xu S, Wang W, Zhang J, Jiang JR, Jin Z, Chi XB. High performance computing algorithm and software for heterogeneous computing.
Ruan Jian Xue Bao/Journal of Software, 2021, 32(8): 2365–2376 (in Chinese with English abstract). http://www.jos.org.cn/1000-9825/
6008.htm [doi: 10.13328/j.cnki.jos.006008]
[20] Duran A, Klemm M. The Intel® many integrated core architecture. In: Proc. of the 2012 Int’l Conf. on High Performance Computing &
Simulation. Madrid: IEEE, 2012. 365–366. [doi: 10.1109/HPCSim.2012.6266938]
[21] Heinecke A, Klemm M, Bungartz HJ. From GPGPU to many-core: Nvidia Fermi and Intel many integrated core architecture. Computing
in Science & Engineering, 2012, 14(2): 78–83. [doi: 10.1109/MCSE.2012.23]
[22] Ibrahim D, Davies A. The evolution of digital signal processors. In: Proc. of the 6th IEEE History of Electrotechnology Conf. Glasgow:
IEEE, 2019. 25–29. [doi: 10.1109/HISTELCON47851.2019.9040130]
[23] Zhang QR, Xie QS, Duan KF, Liang B, Wang M, Wang GX. A digital signal processor (DSP)-based system for embedded continuous-
time cuffless blood pressure monitoring using single-channel PPG signal. Science China Information Sciences, 2020, 63(4): 149402. [doi:
10.1007/s11432-018-9719-9]
[24] Yang J, Yang WD, Qi RX, Tsai Q, Lin SL, Dong FK, Li KL, Li KQ. Parallel algorithm design and optimization of geodynamic numerical
simulation application on the Tianhe new-generation high-performance computer. The Journal of Supercomputing, 2024, 80(1): 331–362.
[doi: 10.1007/s11227-023-05469-9]
[25] Wang DH, Jin S. Review and outlook of modeling of car following behavior. China Journal of Highway and Transport, 2012, 25(1):
115–127 (in Chinese with English abstract). [doi: 10.19721/j.cnki.1001-7372.2012.01.018]
[26] Mercader P, Uwayid W, Haddad J. Max-pressure traffic controller based on travel times: An experimental analysis. Transportation