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A PARTICLE SWARM OPTIMIZATION APPROACH FOR LOW POWER VERY LARGE SCALE INTEGRATION ROUTING | Science Publications

机译:低功率非常大规模集成路由的粒子群优化方法科学出版物

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> This study deals with the particle swarm optimization approach for optimal power dissipation in VLSI interconnect driven routing technique. Interconnect power dissipation is a major challenging research problem in Deep Submicron (DSM) regime that affects the overall circuit performance. The Buffer Insertion Buffer Sizing and Wire Sizing (BISWS) is considered for minimizing the power dissipation in VLSI circuits using interconnect wires. The shortest path constraints, buffer insert constraints and wire size constraints are used to analysis the power consumption considered for analysis. The closed form expressions for optimal power allocation is also derived. These expressions can be used to estimate the power dissipation efficiently in the physical design stages of the VLSI. It is observed that the power dissipation is optimal using the shortest path between source to sink. A novel optimization algorithm is introduced to model delay and bandwidth analytically derived and analyzed. The proposed optimization algorithm is analyzed and compared for 65, 45 and 32 nm CMOS technologies.
机译: >本研究涉及粒子群优化方法,以在VLSI互连驱动的路由技术中实现最佳功耗。互连功耗是影响深亚微米(DSM)方案的主要挑战性研究问题,它会影响整个电路的性能。为了使使用互连线的VLSI电路中的功耗最小,可以考虑使用缓冲区插入缓冲区大小调整和导线大小调整(BISWS)。最短路径约束,缓冲区插入约束和线径约束用于分析考虑进行分析的功耗。还推导了用于最佳功率分配的闭式表达式。这些表达式可用于在VLSI的物理设计阶段有效地估计功耗。可以看出,使用源到宿之间的最短路径,功耗是最佳的。引入了一种新颖的优化算法来对延迟和带宽进行建模,并进行分析和分析。针对65、45和32 nm CMOS技术对提出的优化算法进行了分析和比较。

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