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Performance monitoring using intel performance counters for HEP applications

Khadidja Hadj Henni

The HPC service at CERN provides linux batch infrastructure to run high performance computing 
applications that require MPI clusters.The HPC cluster  is therefore dedicated to run MPI programs. 
with numerous applications running on the cluster and big number of users demanding resources to 
run their jobs,a monitoring tool is needed to measure performances and so this project aims to 
integrate a framework that includes intel performance tools in the hpc cluster in order to  gather data 
for both users and service managers about job execution efficiency and give feedback to users about 
how to improve the performance.  

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