CERN Accelerating science

CMS Note
Report number	CMS-CR-2018-283 ; FERMILAB-CONF-18-630-CD
Title	HPC resource integration into CMS Computing via HEPCloud
Author(s)	Hufnagel, Dirk (Fermilab) ; Holzman, Burt (Fermilab) ; Mason, David (Fermilab) ; Mhashilkar, Parag (Fermilab) ; Timm, Steven (Fermilab) ; Tiradani, Anthony (Fermilab) ; Khan, Farrukh Aftab (Fermilab) ; Gutsche, Oliver (Fermilab) ; Bloom, Kenneth (U. Nebraska, Lincoln)
Publication	2019
Imprint	16 Oct 2018
Number of pages	8
In:	EPJ Web Conf. 214 (2019) 03031
In:	23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.03031
DOI	10.1051/epjconf/201921403031
Subject category	Detectors and Experimental Techniques
Accelerator/Facility, Experiment	CERN LHC ; CMS
Abstract	The higher energy and luminosity from the LHC in Run 2 have put increased pressure on CMS computing resources. Extrapolating to even higher luminosities (and thus higher event complexities and trigger rates) beyond Run3, it becomes clear that simply scaling up the the current model of CMS computing alone will become economically unfeasible. High Performance Computing (HPC) facilities, widely used in scientific computing outside of HEP, have the potential to help fill the gap. Here we describe the U.S.CMS efforts to integrate US HPC resources into CMS Computing via the HEPCloud project at Fermilab. We present advancements in our ability to use NERSC resources at scale and efforts to integrate other HPC sites as well. We present experience in the elastic use of HPC resources, quickly scaling up use when so required by CMS workflows. We also present performance studies of the CMS multi-threaded framework on both Haswell and KNL HPC resources.
Copyright/License	publication: © 2019-2024 The Authors (License: CC-BY-4.0)

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