CKTSO:用于通用电路仿真的高性能并行稀疏线性求解器

IF 2.7 3区 计算机科学 Q2 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Xiaoming Chen
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引用次数: 0

摘要

本文介绍了CKTSO (circuit solver的缩写),一种专门为集成电路仿真程序(SPICE)设计的新型稀疏线性求解器。CKTSO是一个并行求解器,可以在多核共享内存计算机上运行。考虑SPICE仿真中涉及的矩阵的特点,设计了CKTSO算法。CKTSO相对于现有同类求解方法的优势主要体现在以下三个方面。首先,CKTSO的矩阵排序步骤结合了不同类型的排序算法,因此它通常可以在广泛的电路矩阵中获得最少的填充。其次,CKTSO提供了一种具有枢轴校验的并行快速LU分解算法,具有良好的性能、可扩展性和数值稳定性。第三,CKTSO提供了一种结构自适应的混合并行三角形求解算法,可以适应各种电路矩阵。实验,包括基准测试和SPICE模拟,证明了CKTSO的优越性能。CKTSO的库可在https://github.com/chenxm1986/cktso上获得。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CKTSO: High-Performance Parallel Sparse Linear Solver for General Circuit Simulations
This article introduces CKTSO (abbreviation of “circuit solver”), a novel sparse linear solver specially designed for the simulation program with integrated circuit emphasis (SPICE). CKTSO is a parallel solver and can be run on a multicore, shared-memory computer. The algorithms of CKTSO are designed by considering the features of matrices involved in SPICE simulations. CKTSO is superior to existing similar solvers mainly in the following three aspects. First, the matrix ordering step of CKTSO combines different types of ordering algorithms such that it can generally obtain the fewest fill-ins for a wide range of circuit matrices. Second, CKTSO provides a parallel fast LU factorization algorithm with pivot check, which behaves good performance, scalability, and numerical stability. Third, CKTSO provides a structure-adaptive hybrid parallel triangular solving algorithm, which can adapt to various circuit matrices. Experiments, including both benchmark tests and SPICE simulations, demonstrate the superior performance of CKTSO. The libraries of CKTSO are available at https://github.com/chenxm1986/cktso.
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来源期刊
CiteScore
5.60
自引率
13.80%
发文量
500
审稿时长
7 months
期刊介绍: The purpose of this Transactions is to publish papers of interest to individuals in the area of computer-aided design of integrated circuits and systems composed of analog, digital, mixed-signal, optical, or microwave components. The aids include methods, models, algorithms, and man-machine interfaces for system-level, physical and logical design including: planning, synthesis, partitioning, modeling, simulation, layout, verification, testing, hardware-software co-design and documentation of integrated circuit and system designs of all complexities. Design tools and techniques for evaluating and designing integrated circuits and systems for metrics such as performance, power, reliability, testability, and security are a focus.
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