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Multi-Channel Radar Depth Sounder (MCRDS) signal processing:
A distributed computing approach
RESEARCH QUESTIONS
Does the addition of computing cores increase the performance of the CReSIS Synthetic Aperture Radar Processor (CSARP)?
What MATLAB toolkits and/or expansion kits are necessary to run CSARP ?
What hardware requirements are necessary to store and process CReSIS collected data?
What facility environmental requirements are there to house a cluster of at least 32 cores to process a data set?
What is the process to prepare a cluster from a middle-ware stand-point?
Can an open-source job scheduler replace the MATLAB proprietary Distributed Computing Server currently required by CSARP?
HYPOTHESIS
It was believed that the addition of computing cores would increase the performance of CSARP run times within a 10% level of significance.
More nodes = Lower run times
CSARP FUNCTION
Data File
Ice Sheet Imagery
SAR AND MCRDS RELATION
Provided by: Radartutorial.eu
Synthetic Aperture Radar Multi-Channel RADAR Depth Sounder
Greenland 2008 Deployment
DISTRIBUTED COMPUTING
ADMI Cluster Testing – 1 Node
DISTRIBUTED COMPUTING
ADMI Cluster Testing – 2 Nodes
DISTRIBUTED COMPUTING
ADMI Cluster Testing – 4 Nodes
DISTRIBUTED COMPUTING
ADMI Cluster Testing – 8 Nodes
DISTRIBUTED COMPUTING
ADMI Cluster Testing – Results
1 Node 2 Nodes 4 Nodes 8 Nodes0
2
4
6
8
10
12
10 10 10 10
Human Node Performance
Number of Human Nodes
Run T
ime in S
econds
GRID VERSES CLUSTER TOPOGRAPHY
CLUSTER SETUP (MADOGO)
POWER AND COOLING CONSUMPTION COMPARISON
Average Home
~3 Tons 2.75 Tons
MADOGO CLUSTER
MIDDLEWARE
DATA COLLECTION
RESULTS
H0 :μ1 =μ2 =μ4 =μ8 =μ16 =μ32
H1 : μ1 ≠μ2 ≠μ4 ≠μ8 ≠μ16 ≠μ32
α =.1
1 Worker 2 Workers 4 Workers 8 Workers 16 Workers 32 Workers29.27889049 16.92939551 13.06592702 11.45293885 11.34383124 11.30514759
Madogo Worker Mean Times (minutes)
P-value < α therefore we must reject H0
Statistical Hypothesis and Test Value
Collected Data
ANOVA Testing
Analysis and Decision
Analysis of Variance(ANOVA)
RESULTS
1 Worker 2 Workers 4 Workers 8 Workers 16 Workers 32 Workers0
200
400
600
800
1000
1200
1400
1600
1800
2000
Madogo Worker Mean Run Times
Number of Workers
Run-t
ime M
eans in S
econds
There is significant evidence to indicate there is a difference in the performance times of CSARP with the inclusion of additional workers with a 10% level of significance.
67% Increase
FUTUREWORK AND RECOMMENDATIONS
128 Node Estimation
32 Nodes
128 Nodes
Point at which overhead outweighs distribution
benefits
QUESTIONS
Contact Information:
Je’aime H. Powell
Web Site:
http://Cerser.ecsu.edu