Kerrighed and data parallelism: cluster computing on single system image operating systems
Kerrighed and data parallelism: cluster computing on single system image operating systems
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Kerriged 与数据并行：单系统映像操作系统上的集群计算
DOI：
10.1109/clustr.2004.1392625
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
I. Scherson
中科院分区：
文献类型：
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作者：
C. Morin;Renaud Lottiaux;Geoffroy R. Vallée;Pascal Gallard;D. Margery;J. Berthou;I. Scherson
提出了一种可工作的单系统镜像分布式操作系统。它被称为Kerrighed，为MPI和共享内存编程模型提供了统一的方法和支持。该系统在法国雷恩的信息与系统研究所的一个16处理器集群中运行。本文重点介绍了该系统的主要贡献和区别因素，即基于存储容器的需求侧管理，灵活处理调度和检查点策略，以及高效统一的通信层。由于数据并行应用在这些系统中的重要性和普及程度，我们简要讨论了两种已知和已建立的数据并行算法的映射。结果表明，ShearSort非常适合于体系结构/系统对，就像现在流行和重要的二维快速傅里叶变换一样。(二维FFT)。
A working single system image distributed operating system is presented. Dubbed Kerrighed, it provides a unified approach and support to both the MPI and the shared memory programming models. The system is operational in a 16-processor cluster at the Institut de Recherche en Informatique et Systemes Aleatoires in Rennes, France. In this paper, the system is described with emphasis on its main contributing and distinguishing factors, namely its DSM based on memory containers, its flexible handling of scheduling and checkpointing strategies, and its efficient and unified communications layer. Because of the importance and popularity of data parallel applications in these systems, we present a brief discussion of the mapping of two well known and established data parallel algorithms. It is shown that ShearSort is remarkably well suited for the architecture/system pair as is the ever so popular and important two-dimensional fast Fourier transform. (2D FFT).