期刊文献+

随机行走的电路分析应用及并行化改进 被引量:2

Random walk for circuit analysis and improving by parallel computing
下载PDF
导出
摘要 论述了随机行走算法的基本原理,理论分析了给定允许误差和置信概率下,随机行走算法的结束条件;讨论了随机行走算法在电路分析中的应用,并结合应用实例分析了算法的性能;讨论了算法的时间复杂性和影响算法执行时间的主要因素,重点分析了算法的并行特征,提出了采用并行计算技术提高算法性能的新方法,通过与串行算法的实验比较,表明了并行计算技术是提高随机行走算法执行速度的有效方法,比现有的方法适应性更广。 The random walk algorithm is introduced basically.The stop criterion of random walk algorithm is analyzed theoretically.Techniques of circuit analysis by random walk algorithm are discussed in details.Through an instance circuit,the performance of algorithm is studied carefully.And the complexity of random walk algorithm is analyzed.The factors related with algorithm runtime are discussed as well.As analyzing the parallel characteristics of random walk algorithm,a novel parallel computing technique is adopted to speedup the random walk algorithm.The experiment results indicate that parallel computing technique can improve random walk algorithm greatly.Moreover,the parallel computing techniques for random walk algorithm are much more adaptable than other methods.
出处 《计算机工程与应用》 CSCD 北大核心 2010年第18期199-201,243,共4页 Computer Engineering and Applications
基金 陕西省教育厅自然科学专项基金No.05JK293 the Special Foundation of Shaanxi Education Bureau of China under Grant No.05JK293
关键词 随机行走 电路分析 并行计算 random walk circuit analysis parallel computing
  • 相关文献

参考文献6

二级参考文献33

  • 1杨垠丹,严晓浪,史峥,葛海通.超深亚微米下快速电源网格节点电压求解器[J].Journal of Semiconductors,2004,25(11):1532-1536. 被引量:1
  • 2Dharchoudhury A, Panda R, Blaauw D, et al. Design and analysis of power distribution networks in power PC microprocessors [A]. In: Proceeding of the 35th IEEE/ACM DAC, San Francisco, 1998. 738~743
  • 3Bai G, Bobba S, Hajj I N. Simulation and optimization of the power distribution network in VLSI circuits [A]. In: Proceedings of IEEE/ACM ICCAD2000, San Jose, 2000. 481~486
  • 4Chen T, Chen C C. Efficient large-scale power grid analysis based on preconditioned Krylov-subspace iterative method [A]. In: Proceedings of the 38th IEEE/ACM DAC, Las Vegas, 2001. 559~562
  • 5Odabasioglu A, Celik M, Pilleggi L T. PRIME: Passive reduction-order interconnect macromodeling algorithm [J]. IEEE Transactions On Computer-Aided Design, 1998, 17(8): 645~654
  • 6Cao Y, Lee Y, Chen T, et al. HiPRIME: Hierarchical and passivity reserved interconnect macromodeling engine for RLKC power delivery [A]. In: Proceedings of the 39th IEEE/ACM DAC, New Orleans, 2002. 379~384
  • 7Zhao M, Panda R V, Sapatnekar S, et al. Hierarchical analysis of power distribution networks [A]. In: Proceedings of the 37th IEEE/ACM DAC, Los Angeles, 2000. 150~155
  • 8Lee Y -M, Chen C -P. Power grid transient simulation in linear time based on transmission-line- modeling alternating-direction-implicit method [A]. In: Proceedings of IEEE/ACM ICCAD2001, San Jose, 2001. 75~80
  • 9Tan X -D, Shi C -J. Fast power-ground network optimization using equivalent circuit modeling [A]. In: Proceedings of the 38th IEEE/ACM DAC, Las Vegas, 2001. 550~554
  • 10Nassif S R, Kozhaya J N. Fast power grid simulation [A]. In: Proceedings of the 37th IEEE/ACM DAC, Los Angeles, 2000. 156~161

共引文献6

同被引文献20

  • 1骆祖莹,王国璞,蔡懿慈,洪先龙,Sheldon,X.-D.Tan.基于部分随机行走的电源线/地线(P/G)网络快速求解方法[J].计算机辅助设计与图形学学报,2004,16(11):1535-1541. 被引量:6
  • 2李振宇,谢高岗.基于DHT的P2P系统的负载均衡算法[J].计算机研究与发展,2006,43(9):1579-1585. 被引量:26
  • 3蒋君,邓倩妮.eMule系统中的非均匀性分布[J].微电子学与计算机,2007,24(10):153-156. 被引量:3
  • 4边肇祺,张学工.模式识别[M].北京:清华大学出版社,2006.
  • 5王建.基于KAD网络监督的关键技术研究与实现[D].成都:四川大学,2012.
  • 6Maymounkov P, Mazieres D.Kademlia: a peer-to-peer infor- matics system based on the XOR metric[C]//Proceedings of the lth International Workshop on P2P Systems, 2002: 53-65.
  • 7Cai Hua, Zhou Chunguang, Wang Zhe, et al.Algorithm research on community mining from dynamic social network[J].Jour- hal of Jinlin University,2008,26(4) : 380-382.
  • 8Berger-Wolf T Y, Saia J.A framework for analysis of dynamic social networks[C]//Proceeding of the 12th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2006,12 : 523-528.
  • 9Sarkar EDynamic social network analysis using latent space models[C]//Proceedings of the ACM SIGKDD Explora- tions Newsletter, 2005 : 31-35.
  • 10飞思科技产品研发中心神经网络理论与MATLAB7实现[M]//MATLAB应用技术.北京:电子工业出版社,2005:4-90.

引证文献2

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部