Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Haleem, Saqib"'
Autor:
Yzquierdo, Antonio Perez-Calero, Mascheroni, Marco, Kizinevic, Edita, Khan, Farrukh Aftab, Kim, Hyunwoo, Flechas, Maria Acosta, Tsipinakis, Nikos, Haleem, Saqib
While the computing landscape supporting LHC experiments is currently dominated by x86 processors at WLCG sites, this configuration will evolve in the coming years. LHC collaborations will be increasingly employing HPC and Cloud facilities to process
Externí odkaz:
http://arxiv.org/abs/2405.14647
Autor:
Yzquierdo, Antonio Perez-Calero, Mascheroni, Marco, Kizinevic, Edita, Khan, Farrukh Aftab, Kim, Hyunwoo, Flechas, Maria Acosta, Tsipinakis, Nikos, Haleem, Saqib, Wurthwein, Frank
The CMS Submission Infrastructure (SI) is the main computing resource provisioning system for CMS workloads. A number of HTCondor pools are employed to manage this infrastructure, which aggregates geographically distributed resources from the WLCG an
Externí odkaz:
http://arxiv.org/abs/2405.14644
Autor:
Mascheroni, Marco, Yzquierdo, Antonio Perez-Calero, Kizinevic, Edita, Khan, Farrukh Aftab, Kim, Hyunwoo, Flechas, Maria Acosta, Tsipinakis, Nikos, Haleem, Saqib, Spiga, Damiele, Wissing, Christoph, Wurthwein, Frank
The former CMS Run 2 High Level Trigger (HLT) farm is one of the largest contributors to CMS compute resources, providing about 25k job slots for offline computing. This CPU farm was initially employed as an opportunistic resource, exploited during i
Externí odkaz:
http://arxiv.org/abs/2405.14639
Autor:
Yzquierdo, Antonio Perez-Calero, Mascheroni, Marco, Kizinevic, Edita, Khan, Farrukh Aftab, Kim, Hyunwoo, Flechas, Maria Acosta, Tsipinakis, Nikos, Haleem, Saqib
The computing resource needs of LHC experiments are expected to continue growing significantly during the Run 3 and into the HL-LHC era. The landscape of available resources will also evolve, as High Performance Computing (HPC) and Cloud resources wi
Externí odkaz:
http://arxiv.org/abs/2405.14631
Autor:
Pérez-Calero Yzquierdo Antonio, Mascheroni Marco, Kizinevic Edita, Khan Farrukh Aftab, Kim Hyunwoo, Acosta Flechas Maria, Tsipinakis Nikos, Haleem Saqib, Würthwein Frank
Publikováno v:
EPJ Web of Conferences, Vol 295, p 04003 (2024)
The CMS Submission Infrastructure (SI) is the main computing resource provisioning system for CMS workloads. A number of HTCondor pools are employed to manage this infrastructure, which aggregates geographically distributed resources from the WLCG an
Externí odkaz:
https://doaj.org/article/2e1cacada6644eb4b5e733670884fee5
Autor:
Pérez-Calero Yzquierdo Antonio, Mascheroni Marco, Kizinevic Edita, Khan Farrukh Aftab, Kim Hyunwoo, Acosta Flechas Maria, Tsipinakis Nikos, Haleem Saqib
Publikováno v:
EPJ Web of Conferences, Vol 295, p 04046 (2024)
While the computing landscape supporting LHC experiments is currently dominated by x86 processors at WLCG sites, this configuration will evolve in the coming years. LHC collaborations will be increasingly employing HPC and Cloud facilities to process
Externí odkaz:
https://doaj.org/article/7b00b975e032428e88a8d6dee2e6feb3
Autor:
Pérez-Calero Yzquierdo Antonio, Mascheroni Marco, Kizinevic Edita, Khan Farrukh Aftab, Kim Hyunwoo, Acosta Flechas Maria, Tsipinakis Nikos, Haleem Saqib
Publikováno v:
EPJ Web of Conferences, Vol 295, p 01035 (2024)
The computing resource needs of LHC experiments are expected to continue growing significantly during the Run 3 and into the HL-LHC era. The landscape of available resources will also evolve, as High Performance Computing (HPC) and Cloud resources wi
Externí odkaz:
https://doaj.org/article/99d9e80a35bb4e94beddef87e25de71b
Autor:
Perez-Calero Yzquierdo, Antonio Maria, Kizinevic, Edita, Khan, Farrukh Aftab, Kim, Hyunwoo, Mascheroni, Marco, Acosta Flechas, Maria, Tsipinakis, Nikos, Haleem, Saqib
The landscape of computing power available for the CMS experiment is rapidly evolving, from a scenario dominated by x86 processors deployed at WLCG sites towards a more diverse mixture of Grid, HPC, and Cloud facilities, incorporating a higher fracti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=od________65::eac5f8f9a490200758955d89e356196b
http://cds.cern.ch/record/2855340
http://cds.cern.ch/record/2855340
Autor:
Pérez-Calero Yzquierdo Antonio, Acosta Flechas Maria, Davila Foyo Diego, Haleem Saqib, Hurtado Anampa Kenyi, Ivanov Todor Trendafilov, Khan Farrukh Aftab, Kizinevič Edita, Larson Krista, Letts James, Mascheroni Marco, Mason David
Publikováno v:
EPJ Web of Conferences, Vol 245, p 03016 (2020)
Efforts in distributed computing of the CMS experiment at the LHC at CERN are now focusing on the functionality required to fulfill the projected needs for the HL-LHC era. Cloud and HPC resources are expected to be dominant relative to resources prov
Externí odkaz:
https://doaj.org/article/a4facfab32164631829c5c6fff8cb66d
Autor:
Dost Jeffrey, Mascheroni Marco, Andreeva Julia, Anisenkov Alexey, Box Dennis, Di Girolamo Alessandro, Haleem Saqib, Kizinevič Edita, Majewski Krista, Letts James, Lobato Pardavila Lorena, Moreira Coimbra Bruno, Pérez-Calero Yzquierdo Antonio, Mambelli Marco, Paparrigopoulos Panos, Zvada Marian
Publikováno v:
EPJ Web of Conferences, Vol 245, p 03023 (2020)
GlideinWMS is a workload management and provisioning system that allows sharing computing resources distributed over independent sites. Based on the requests made by GlideinWMS frontends, a dynamically sized pool of resources is created by GlideinWMS
Externí odkaz:
https://doaj.org/article/3f813c44b5ee45bca78e76f6a22c189c