Parallelizing doolittle algorithm using TBB

S. Sah, Dinesh Naik
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引用次数: 2

Abstract

This paper presents a different approach for parallelizing the Doolittle Algorithm with the help of Intel Threading Building Blocks (TBB) allowing the users to utilize the power of multiple cores present in the modern CPUs. Parallel Doolittle Algorithm (PDA) has been divided into 3 parts: Decomposing the data, Parallely processing the data, finally Composing the data. Using the PDA we can solve the linear system of equations in considerably lesser amount time as compare to Serial Doolittle Algorithm (SDA). The PDA has been implemented in C++ using TBB library which makes it highly efficient, cross-platform compatible, and scalable. The efficiency of PDA over SDA has been verified by comparing the running time on different order of matrices. Experiments proved that PDA outperformed SDA by utilizing all the cores present in the CPU.
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使用TBB并行化doolittle算法
本文提出了一种不同的方法,在英特尔线程构建块(TBB)的帮助下并行化Doolittle算法,允许用户利用现代cpu中存在的多核功能。并行Doolittle算法(PDA)分为数据分解、数据并行处理、数据合成三个部分。与串行Doolittle算法(SDA)相比,使用PDA可以在相当短的时间内求解线性方程组。PDA采用c++语言,使用TBB库实现,具有高效、跨平台、可扩展性强等特点。通过比较不同阶矩阵的运行时间,验证了PDA比SDA的效率。实验证明,PDA通过利用CPU中的所有内核来优于SDA。
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