A Proposed Model: Linearly Extensible Triplet Network (LETN)

Varsha Kumari, Aprna Tripathi, Nikhil Govil, Sandhya Pundhir
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引用次数: 3

Abstract

Past few years, there has been keen interest over computation power and scalability of the computer system. The computation power can be increased massively in two ways either in terms of optimizing hardware by increasing the number of processor (nodes) or in terms of optimizing software by structuring the program in such a way that the large task is subdivided into independent subtasks (load). The scheduling and mapping of tasks on the set of processors has significant role in parallel and distributed computing system. The scheduling problem involves assigning a balanced task to each processor according to its performance capabilities. It also minimizes communication overhead in the network. To speed up computation power, a linearly scalable triplet based multiprocessor architecture (network) has been proposed here. It has been designed to meet the current trends in achieving high computation power in multiprocessor architecture. It allows the extension of the network by adding new subsystems of three processors at a time which increases the parallel computation. The properties and task Allocation algorithm of proposed model has been discussed deeply. By discussion and comparison authors come to the conclusion that proposed model is better and is need of the time.
线性可扩展三重网络(LETN)模型
过去几年,人们对计算机系统的计算能力和可扩展性产生了浓厚的兴趣。计算能力可以通过两种方式大幅提高,一种是通过增加处理器(节点)的数量来优化硬件,另一种是通过将大任务细分为独立的子任务(负载)来构建程序来优化软件。任务在处理器集合上的调度和映射在并行和分布式计算系统中具有重要的作用。调度问题涉及到根据每个处理器的性能为其分配均衡的任务。它还可以最大限度地减少网络中的通信开销。为了提高计算能力,本文提出了一种线性可扩展的基于三元组的多处理器体系结构(网络)。它的设计是为了满足当前在多处理器体系结构中实现高计算能力的趋势。它允许通过一次增加三个处理器的新子系统来扩展网络,从而增加并行计算。对该模型的性质和任务分配算法进行了深入的讨论。通过讨论和比较,得出了该模型较好,且具有时效性的结论。
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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