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An implementation of MacMahon's partition analysis in ordering the number of lattice points in convex polyhedron with examples for systolic arrays

机译:Macmahon分区分析在命令凸多面体的晶格点数量时的分区分析,具有收缩阵列的示例

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We have investigated the ldquoOmega calculusrdquo, as a computational method for solving problems via their corresponding Diophantine relation. These methods can be applied for the problems related with the number of lattice points in polyhedron, positively in our case for systolic array computations. From the corresponding systolic algorithm we form a system of linear diophantine equalities using the domain of computation which is given by the set of lattice points inside the polyhedron. Then we run the Mathematica program DiophantineGF.m. This program calculates the generating function from which is possible to find the number of solutions to the system of Diophantine equalities, which in fact gives the lower bound for the number of processors needed for the corresponding algorithm. There is given a mathematical explanation of the problem as well. We illustrate this for finding the lower bound of the systolic algorithm for discrete Fourier transformation (DFT).
机译:我们研究了Ldquoomega CalculusRdquo,作为通过相应的辅子关系解决问题的计算方法。这些方法可以应用于与多面体中的晶格点数有关的问题,对于收缩系统阵列计算的案例。从相应的收缩算法,我们使用由多面体内部的晶格点给出的计算领域来形成线性二色素等于的线性二色素等分系统。然后我们运行Mathematica程序DiophantineGF.m.m.m.m.m.m.该程序计算从中找到的生成功能,可以找到对浏览器等于的系统的解决方案的数量,这实际上给出了相应算法所需的处理器数量的下限。给出了对问题的数学解释。我们说明了用于找到离散傅里叶变换(DFT)的收缩算法的下限。

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