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An Efficient Numerical Solution Technique for VLSI Interconnect Equations on Many-Core Processors

机译:多核处理器上VLSI互连方程的高效数值求解技术

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This paper presents a technique to accelerate transient simulations of analog circuits using an explicit integration method parallelised on a many-core computer. Usual methods used by SPICE-type simulators are based on Newton-Raphson iterations, which are reliable and numerically stable, but require long CPU processing times. However, although the integration time step in explicit methods is smaller than that used in implicit methods, this technique avoids the calculation of time-consuming computations due to the Jacobian matrix inversion. The proposed method uses an explicit integration scheme based on the fourth order Adams-Bashforth formula. The algorithm has been parallelised on a NVIDIA general purpose GPU using the CUDA programming model. As a case study, the RC ladder model of a VLSI interconnect is simulated on a general purpose graphic processing unit and the achieved performance is then evaluated against that of a multiprocessor CPU. The results show that the proposed technique achieves a speedup of one order of magnitude in comparison with implicit integration techniques executed on a CPU.
机译:本文介绍了一种使用在许多核心计算机上并行化的显式集成方法加速模拟电路瞬态模拟的技术。 Spice型模拟器使用的常用方法基于Newton-Raphson迭代,可靠且数值稳定,但需要长期CPU处理时间。然而,尽管在显式方法中的集成时间步骤小于隐式方法中使用的,但是该技术避免了由于雅各比矩阵反转而计算耗时的计算。该方法使用基于第四阶ADAMS-BASHFORSH公式的显式集成方案。使用CUDA编程模型,该算法已在NVIDIA通用GPU上并行化。作为案例研究,在通用图形处理单元上模拟了VLSI互连的RC梯形图模型,然后根据多处理器CPU的求解性能。结果表明,该技术与在CPU上执行的隐式集成技术相比,实现了一种幅度的加速。

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