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Speedup of a sparse system simulation

机译:稀疏系统仿真的加速

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摘要

Optimistic and conservative simulation algorithms have been effective for speeding up the execution of many simulation programs. Event stepped techniques have also been shown to be effective for certain types of problems. This paper presents a conjecture that sparse systems are effectively simulated by conservative and optimistic techniques, where sparseness is characterized by the ratio of output generating states to non-output generating states. The speedup results for a representative sparse simulation are shown to support this conjecture.

机译:

乐观和保守的仿真算法已有效地加快了许多仿真程序的执行速度。事件步进技术也已被证明对某些类型的问题有效。本文提出了一种猜测,即通过保守和乐观技术可以有效地模拟稀疏系统,其中稀疏度的特征在于输出生成状态与非输出生成状态的比率。代表性的稀疏模拟的加速结果显示出支持这种推测。

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