Title
From the Big Bang to Massive Data Flow: Parallel Computing in High Energy Physics Experiments
Abstract
Tracking detectors in high-energy physics experiments produce hundreds of megabytes of data at a rate of several hundred Hz. Processing this data at a bandwidth of 10-20 Gbyte/sec requires parallel computing. Reducing the huge data rate to a manageable amount by realtime data compression and pattern recognition techniques is the prime task. Clustered SMP (Symmetric Multi-Processor) nodes, based on off-the-shelf PCs and connected by a high bandwidth, low latency network, provide the necessary computing power. Such a system can easily be interfaced to the front-end electronics of the detectors via the internal PCI-bus. Data compression techniques like vector quantization and data modeling and fast transformations like conformal mapping or the adaptive, generalized Hough-transform for feature extraction are the methods of choice.
Year
DOI
Venue
2000
10.1007/3-540-70734-4_39
PARA
Keywords
Field
DocType
data compression technique,necessary computing power,parallel computing,fast transformation,massive data flow,high bandwidth,clustered smp,symmetric multi-processor,high energy physics experiments,realtime data compression,big bang,huge data rate,conformal mapping,data compression,data model,low latency,pattern recognition,conformal map,data flow,feature extraction,parallel computer,high energy physics,image processing,bandwidth,parallel processing,parallel computation,real time,vector quantization,hough transformation,data processing
Data modeling,Data processing,Computer science,Parallel computing,Feature extraction,Vector quantization,Bandwidth (signal processing),Data compression,Signal compression,Data flow diagram
Conference
Volume
ISSN
ISBN
1947
0302-9743
3-540-41729-X
Citations 
PageRank 
References 
0
0.34
1
Authors
18
Name
Order
Citations
PageRank
C. Adler100.34
J. Berger275.55
D. Flierl300.34
H. Helstrup400.68
J. S. Lange500.68
J. Lien600.68
Volker Lindenstruth79711.71
Dieter Röhrich821.67
D. Schmischke900.34
M. W. Schulz1022.00
B. Skaali1141.18
H. K. Sollveit1200.34
Timm M. Steinbeck13153.91
R. Stock1400.34
C. Struck1500.34
k ullaland1601.35
Anders Strand Vestbø1721.34
Arne Wiebalck18144.22