Scalability and communication performance of HPC on Azure Cloud

Different domains of research are moving to cloud computing whether to carry out compute intensive experiments or to store large datasets. Cloud computing services allow the users to focus on the application, without being concerned about the physical resources. HPC system on the cloud is desired fo...

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Bibliographic Details
Main Authors: Hanan A. Hassan, Shimaa A. Mohamed, Walaa M. Sheta
Format: Article
Language:English
Published: Elsevier 2016-07-01
Series:Egyptian Informatics Journal
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1110866515000523
Description
Summary:Different domains of research are moving to cloud computing whether to carry out compute intensive experiments or to store large datasets. Cloud computing services allow the users to focus on the application, without being concerned about the physical resources. HPC system on the cloud is desired for their high needs of efficient CPU computations. Our objective was to evaluate the scalability and performance of High Performance Cloud Computing on Microsoft Azure Cloud infrastructure by using well known Benchmarks, namely, IMB point-to-point communication and NAS Parallel Benchmarks (NPB). In our experiments, performance of the HPC applications on the cloud is assessed in terms of MOPS and speedup, and is tested under different configurations of cluster sizes. Also, point-to point communication performance between nodes is assessed in terms of latency and bandwidth as a function of message size.
ISSN:1110-8665