Introduction
Resource Requirements
Figure 1
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Scheduler Tools
Scaling Study
Figure 1
Speedup and efficiency of strong scaling
example
Figure 2
Three snowmen in 800x800 with 128 samples per
pixel
Figure 3
Three snowmen in 800x800 with 8192 samples per
pixel
Figure 4
Speedup and efficiency of weak scaling
example
Performance Overview
Figure 1
The underlying hardware frames any performance
analysis. Calculations are performed in multiple cores, potentially
multiple threads per core, and even in vectorized instructions where a
single operation is applied to multiple sets of data in a single
instruction. Data moves through the data hierarchy to CPU cores, where
each level “closer” to the CPU has a smaller storage capacity, but
larger bandwidth and smaller latencies, improving access
performance.
Figure 2
ClusterCockpits main menu. Select “My Jobs” to
see a list of the jobs associated to your account.
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Performance Reports
also summarizes the applications behavior in terms of MPI calls,
e.g. time spent in collective calls involving all processors, or
point-to-point communications.
Figure 21
The I/O block
summarizes measurements of interactions with the local file systems.
Here, no I/O operations are affecting the applications performance at
all.