Nov 4 – 8, 2019
Adelaide Convention Centre
Australia/Adelaide timezone

Harnessing the power of supercomputers using the PanDA Pilot 2 in the ATLAS Experiment

Nov 5, 2019, 11:00 AM
15m
Riverbank R3 (Adelaide Convention Centre)

Riverbank R3

Adelaide Convention Centre

Oral Track 3 – Middleware and Distributed Computing Track 3 – Middleware and Distributed Computing

Speaker

Paul Nilsson (Brookhaven National Laboratory (US))

Description

The unprecedented computing resource needs of the ATLAS experiment have motivated the Collaboration to become a leader in exploiting High Performance Computers (HPCs). To meet the requirements of HPCs, the PanDA system has been equipped with two new components; Pilot 2 and Harvester, that were designed with HPCs in mind. While Harvester is a resource-facing service which provides resource provisioning and workload shaping, Pilot 2 is responsible for payload execution on the resource.
The presentation focuses on Pilot 2, which is a complete rewrite of the original PanDA Pilot used by ATLAS and other experiments for well over a decade. Pilot 2 has a flexible and adaptive design that allows for plugins to be defined with streamlined workflows. In particular, it has plugins for specific hardware infrastructures (HPC/GPU clusters) as well as for dedicated workflows defined by the needs of an experiment.
Examples of dedicated HPC workflows are discussed in which the Pilot either uses an MPI application for processing fine-grained event level service under the control of the Harvester service or acts like an MPI application itself and runs a set of job in an assemble.
In addition to describing the technical details of these workflows, results are shown from its deployment on Cori (NERSC), Theta (ALCF), Titan and Summit (OLCF).

Consider for promotion No

Primary authors

Paul Nilsson (Brookhaven National Laboratory (US)) Doug Benjamin (Argonne National Laboratory (US)) Mr Danila Oleynik (Joint Institute for Nuclear Research (RU)) Alexey Anisenkov (Budker Institute of Nuclear Physics (RU)) Wen Guan (University of Wisconsin (US)) Tomas Javurek (CERN)

Presentation materials