DocumentCode :
2179068
Title :
Network traffic exploration on a many-core computing platform: SpiNNaker real-time traffic visualiser
Author :
Liu, Gengting ; Camilleri, Patrick ; Furber, Steve ; Garside, Jim
Author_Institution :
School of Computer Science, University of Manchester, Manchester, United Kingdom
fYear :
2015
fDate :
June 29 2015-July 2 2015
Firstpage :
228
Lastpage :
231
Abstract :
The performance of modern supercomputers is ever-increasing. Different kinds of massively parallel programs are written to maximally utilise the computing power provided by these many-core computing machines. However, this performance shrinks when network congestion occurs. SpiNNaker is an energy-efficient and highly parallel computing platform, which has built-in diagnostic hardware and congestion-aware adaptive routing. This paper describes the diagnostic technology available in SpiNNaker machines and presents a new software tool called SpiNNaker real-time traffic visualiser which adopts visualisation technology to explore the network traffic in SpiNNaker machines. This visualiser can assist application developers in detecting network traffic congestion with the provision of real-time configuration and data-logging functions.
Keywords :
Delays; Histograms; Radiation detectors; Real-time systems; Registers; Routing; Visualization; Chip Multiprocessor; Network congestion; Network on Chip; Network traffic visualisation; SpiNNaker project;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Ph.D. Research in Microelectronics and Electronics (PRIME), 2015 11th Conference on
Conference_Location :
Glasgow, United Kingdom
Type :
conf
DOI :
10.1109/PRIME.2015.7251376
Filename :
7251376
Link To Document :
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