G-NetMon: A GPU-accelerated Network Performance Monitoring System

Author

Wenji Wu ; Demar, Phil ; Holmgren, D. ; Singh, Ashutosh

Author_Institution

Comput. Div., Fermilab, Batavia, IL, USA

fYear

2011

fDate

19-21 July 2011

Firstpage

76

Lastpage

79

Abstract

At Fermilab, we have prototyped a GPU-accelerated network performance monitoring system, called G-NetMon, to support large-scale scientific collaborations. In this work, we explore new opportunities in network traffic monitoring and analysis with GPUs. Our system exploits the data parallelism that exists within network flow data to provide fast analysis of bulk data movement between Fermilab and collaboration sites. Experiments demonstrate that our G-NetMon can rapidly detect sub-optimal bulk data movements.

Keywords

computer graphic equipment; computer network performance evaluation; computerised monitoring; coprocessors; data flow analysis; telecommunication traffic; Fermilab; G-NetMon; GPU accelerated network performance monitoring system; data parallelism; large scale scientific collaboration; network flow data; network traffic monitoring; suboptimal bulk data movement analysis; Catalogs; Collaboration; Graphics processing unit; Instruction sets; Kernel; Monitoring; Registers; Flow Analysis; GPU; High-speed Networks; Network Performance Monitoring;

fLanguage

English

Publisher

ieee

Conference_Titel

Application Accelerators in High-Performance Computing (SAAHPC), 2011 Symposium on

Conference_Location

Knoxville, TN

Print_ISBN

978-1-4577-0635-6

Electronic_ISBN

978-0-7695-4448-9

Type

conf

DOI

10.1109/SAAHPC.2011.10

Filename

6031569