The Piz Daint Cray XC30 HPC system at CSCS, the Swiss National Supercomputing centre, was in 2014 the highest ranked European system on TOP500, also featuring GPU accelerators. Event generation and detector simulation for the ATLAS experiment have been enabled for this machine. We report on the technical solutions, performance, HPC policy challenges and possible future opportunities for HEP on extreme HPC systems. In particular a custom made integration to the ATLAS job submission system has been developed via the Advanced Resource Connector (ARC) middleware. Furthermore, some GPU acceleration of the Geant4 detector simulations has been implemented to justify the allocation request for this machine
LHC experiments require significant computational resources for Monte Carlo simulations and real dat...
Access and exploitation of large scale computing resources, such as those offered by general purpose...
The current distributed computing resources used for simulating and processing collision data collec...
The Czech national HPC center IT4Innovations located in Ostrava provides two HPC systems, Anselm and...
The ATLAS Experiment, along with other LHC experiments, requires huge computing capacity to achieve ...
The distributed computing system of the ATLAS experiment at LHC is allowed to opportunistically use ...
The resources of the HPC centers are a potential aid to meet the future challenges of HL-LHC [1] in ...
Predictions for requirements for the LHC computing for Run 3 and Run 4 (HL_LHC) over the course of t...
The ATLAS experiment at CERN is using HPCs opportunistically to extend its computing capacity for ye...
Prediction for requirements for the LHC computing for Run 3 and for Run 4 (HL-LHC) over the course o...
In this thesis, I studied the feasibility of running computer data analysis programs from the Worldw...
The ATLAS distributed computing is allowed to opportunistically use resources of the Czech national ...
The ATLAS Spanish Tier-1 and Tier-2s have more than 15 years of experience in the deployment and dev...
The ATLAS Spanish Tier-1 and Tier-2s have more than 15 years of experience in the deployment and dev...
The distributed computing of the ATLAS experiment at LHC has used computing resources of the Czech n...
LHC experiments require significant computational resources for Monte Carlo simulations and real dat...
Access and exploitation of large scale computing resources, such as those offered by general purpose...
The current distributed computing resources used for simulating and processing collision data collec...
The Czech national HPC center IT4Innovations located in Ostrava provides two HPC systems, Anselm and...
The ATLAS Experiment, along with other LHC experiments, requires huge computing capacity to achieve ...
The distributed computing system of the ATLAS experiment at LHC is allowed to opportunistically use ...
The resources of the HPC centers are a potential aid to meet the future challenges of HL-LHC [1] in ...
Predictions for requirements for the LHC computing for Run 3 and Run 4 (HL_LHC) over the course of t...
The ATLAS experiment at CERN is using HPCs opportunistically to extend its computing capacity for ye...
Prediction for requirements for the LHC computing for Run 3 and for Run 4 (HL-LHC) over the course o...
In this thesis, I studied the feasibility of running computer data analysis programs from the Worldw...
The ATLAS distributed computing is allowed to opportunistically use resources of the Czech national ...
The ATLAS Spanish Tier-1 and Tier-2s have more than 15 years of experience in the deployment and dev...
The ATLAS Spanish Tier-1 and Tier-2s have more than 15 years of experience in the deployment and dev...
The distributed computing of the ATLAS experiment at LHC has used computing resources of the Czech n...
LHC experiments require significant computational resources for Monte Carlo simulations and real dat...
Access and exploitation of large scale computing resources, such as those offered by general purpose...
The current distributed computing resources used for simulating and processing collision data collec...