“…In 2017, ATLAS exploited steadily almost 3M HS06 units, which corresponds to about 300 000 standard CPU cores. The total disk and tape capacity managed by the Rucio data management system exceeded 350 PB. …”
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“…The CMS experiment has a sophisticated two-level triggering system composed of the Level-1, instrumented by custom-design hardware boards, and the High Level Trigger, a streamlined version of the offline reconstruction software running on a computer farm (more than 30k CPU cores). In 2017, the LHC delivered proton-proton collisions at a centre-of-mass energy of 13 TeV with a peak instantaneous luminosity larger than $2 · 10^{34}$ cm$^{−2}$ s$^{−1}$, more than twice the peak luminosity reached during Run1 and far larger than the design value. …”
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“…The CMS experiment implements a sophisticated two-level triggering system composed of the Level-1, instrumented by custom-design hardware boards, and the High Level Trigger, a streamlined version of the offline reconstruction software running on a computer farm (more than 30k CPU cores). In 2017, the LHC delivered proton-proton collisions at a centre-of-mass energy of 13 TeV with a peak instantaneous luminosity larger than $2 \cdot 10^{34}$ cm$^{-2}$s$^{-1}$, more than twice the peak luminosity reached during Run1 and far larger than the design value. …”
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“…Therefore, we propose a scheme to implement local server computation on EOS system based on Xrootd plug-in.Flags can be added after a file is accessed when a user needs to use computable storage.After receiving the access request, the client will forward the request to the FST where the file is located and perform the default decode calculation in the background on the FST.After testing, we found that using this method to simultaneously decode 10 1G raw files stored on the same FST can save about 45.9% of the time compared to the traditional method.The next work plan is to sink the computable module onto the hard disk to reduce the CPU consumption of the FST, and to customize the acceleration module on the hardware to increase the speed of the computation.…”
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“…These managed components include CPU, disk, network switches, massive mass storage, plus the needed manpower and other resources to make the whole setup function. …”
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“…DPM runs on high-performance machines, profiting from multi-core and multi-CPU setups. It supports separating the database from the metadata server, the head node, largely reducing its hard disk requirements. …”
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“…An average data stream of about 10 GB/s for about 1000 hours of observation per year, thus producing several PB/year, is expected. Large CPU time is required for data-processing as well for massive Monte Carlo simulations needed for detector calibration purposes. …”
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“…Thanks to the high-bandwidth connectivity guaranteed by the LHCOPN, input data can be freely transferred between disk endpoints as needed to take advantage of free CPU, turning the Tier-1s into a large pool of shared resources. …”
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“…In particular, during the last 18 months, about 2 PB of Monte Carlo data have been produced and processed with different analysis chains, with a corresponding overall CPU consumption of about 125 M HS06 hours. In these proceedings, we describe the employed computing model, based on the use of grid resources, as well as the production system setup, which relies on the DIRAC interware. …”
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