Tight Coupling of R and Distributed Linear Algebra for High-Level Programming with Big Data

Drew Schmidt, G. Ostrouchov, Wei-Chen Chen, Pragneshkumar B. Patel
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引用次数: 12

Abstract

We present a new distributed programming extension of the R programming language. By tightly coupling R to the well-known ScaLAPACK and MPI libraries, we are able to achieve highly scalable implementations of common statistical methods, allowing the user to analyze bigger datasets with R than ever before. Early benchmarks show great optimism for the project and its future.
大数据高级编程中R与分布式线性代数的紧密耦合
本文提出了R编程语言的一种新的分布式编程扩展。通过将R与著名的ScaLAPACK和MPI库紧密耦合,我们能够实现常见统计方法的高度可扩展实现,允许用户使用R分析比以往更大的数据集。早期的基准测试显示了对项目及其未来的极大乐观。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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