Evaluation of HCM: A New Model to Predict the Execution Time of Regular Parallel Applications on a Heterogeneous Cluster

被引：0

作者：

Soares, Thiago Marques ^{[1
]}

dos Santos, Rodrigo Weber ^{[1
]}

Lobosco, Marcelo ^{[1
]}

机构：

[1] Univ Fed Juiz de Fora, Grad Program Computat Modeling, Juiz De Fora, Brazil

来源：

PARALLEL PROCESSING AND APPLIED MATHEMATICS (PPAM 2017), PT II | 2018年 / 10778卷

关键词：

Performance modeling; Parallel architectures; Heterogeneous clusters; Scheduling; Resource management;

D O I：

10.1007/978-3-319-78054-2_6

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

In a previous work we proposed a new model that predicts the execution time of a regular application on a heterogeneous parallel environment. The model considers that a heterogeneous cluster is composed by distinct types of processors, accelerators and networks. This work further details and proposes some modifications to the original model, as well as evaluate it on a heterogeneous cluster environment. The results have show that the worst error in the estimations of the parallel execution time was about 12.7%, and, in many cases, the estimated execution time is equal to or very close to the actual one.

引用

页码：58 / 67

页数：10

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