Product Lagrange Coded Computing

Adarsh M. Subramaniam, A. Heidarzadeh, A. K. Pradhan, K. Narayanan
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引用次数: 5

Abstract

This work considers the distributed multivariate polynomial evaluation (DMPE) problem using a master-worker framework, which was originally considered by Yu et al., where Lagrange Coded Computing (LCC) was proposed as a coded computation scheme to provide resilience against stragglers for the DMPE problem. In this work, we propose a variant of the LCC scheme, termed Product Lagrange Coded Computing (PLCC), by combining ideas from classical product codes and LCC. The main advantage of PLCC is that they are more numerically stable than LCC; however, their resilience to stragglers is sub-optimal.
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产品拉格朗日编码计算
这项工作考虑了使用主工框架的分布式多元多项式评估(DMPE)问题,该框架最初由Yu等人考虑,其中拉格朗日编码计算(LCC)被提出作为一种编码计算方案,为DMPE问题提供针对离散者的弹性。在这项工作中,我们提出了LCC方案的一种变体,称为产品拉格朗日编码计算(PLCC),通过结合经典产品代码和LCC的思想。PLCC的主要优点是它们在数值上比LCC更稳定;然而,他们对掉队者的适应能力不是最优的。
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