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- From: Christof E Roland <cer AT mit.edu>
- To: Hugo Pereira Da Costa via sPHENIX-tracking-l <sphenix-tracking-l AT lists.bnl.gov>
- Subject: [Sphenix-tracking-l] TPC Clusterizer performance
- Date: Mon, 23 May 2022 10:09:44 +0000
Hi Everybody,
I ran a test of the tpcclusterizer performance using verctors to store the
hit infformation instead of our
usual maps base hit storage containers. The performance change is rather
dramatic.
The memory goes down from 4 to 2,4 GB/job and the execution time when
processing the
tpc sectors in sequence (i.e. turning the threading off) goes down from 1.6
sec to 0.27 sec.
See slide attached below.
Cheers
Christof
Attachment:
Clusterizer_Perf.pptx
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smime.p7s
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[Sphenix-tracking-l] TPC Clusterizer performance,
Christof E Roland, 05/23/2022
-
Re: [Sphenix-tracking-l] TPC Clusterizer performance,
Osborn, Joe, 05/23/2022
- Re: [Sphenix-tracking-l] TPC Clusterizer performance, Christof E Roland, 05/23/2022
-
Re: [Sphenix-tracking-l] TPC Clusterizer performance,
Osborn, Joe, 05/23/2022
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