Główna > CERN Experiments > LHC Experiments > ATLAS > ATLAS Preprints > Large scale fine grain simulation workflows ("Jumbo Jobs") on HPC's |
ATLAS Slides | |
Report number | ATL-SOFT-SLIDE-2019-807 |
Title | Large scale fine grain simulation workflows ("Jumbo Jobs") on HPC's |
Author(s) | Benjamin, Douglas (Argonne National Laboratory) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Tsulaia, Vakhtang (Lawrence Berkeley National Laboratory and University of California, Berkeley) ; Guan, Wen (Department of Physics, University of Wisconsin) ; Oleynik, Danila (Joint Institute for Nuclear Research) ; Javurkova, Martina (University of Massachusetts, Amherst) ; Magini, Nicolo (Iowa State University) ; Childers, John Taylor (Argonne National Laboratory) |
Corporate author(s) | The ATLAS collaboration |
Collaboration | ATLAS Collaboration |
Submitted to | 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019 |
Submitted by | [email protected] on 25 Oct 2019 |
Subject category | Particle Physics - Experiment |
Accelerator/Facility, Experiment | CERN LHC ; ATLAS |
Abstract | The ATLAS experiment is using large High Performance Computers (HPC's) and fine grained simulation workflows (Event Service) to produce fully simulated events in an efficient manner. ATLAS has developed a new software component (Harvester) which provides resource provisioning and workload shaping. In order to run effectively on the largest HPC machines, ATLAS develop Yoda-Droid software to orchestrate the MPI communication between Harvester and the simulation payload running on over 1000 nodes simultaneously. In this way over 130,000 cores can simultaneously produce simulated Monte Carlo events for ATLAS. The PanDA system also had to be changed to produce "jumbo jobs" capable of simulated over 1 Million events per submission to the local HPC scheduling systems. This presentation will describe in detail the changes to PanDA to enable jumbo jobs and the Yoda-Droid software. Scaling and efficiency measurements will be presented. Results from deployment, integration and operation of the new software at the Titan, Cori and Theta HPC machines will be shown. |