Abstract

A number of HEP software packages used by the ATLAS experiment, including GEANT4, ROOT and ALPGEN, have been adapted to run on the IBM Blue Gene supercomputers at the Argonne Leadership Computing Facility. These computers use a non-x86 architecture and have a considerably less rich operating environment than in common use in HEP, but also represent a computing capacity an order of magnitude beyond what ATLAS is presently using via the LCG. The status and potential for making use of leadership-class computing, including the status of integration with the ATLAS production system, is discussed.

Highlights

  • The computational needs of modern HEP experiments like ATLAS continue to grow every year; ATLAS’ grid use is over a billion CPU-hours per year

  • We normally run it with a slight modification so that the random number seed is dependent on the MPI rank; otherwise each core would generate identical events

  • While CINT works, we have found the most effective way to run Root is via a C++ program that calls Root classes

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Summary

Introduction

The computational needs of modern HEP experiments like ATLAS continue to grow every year; ATLAS’ grid use is over a billion CPU-hours per year. Typical jobs are highly parallel, with each core calculating a small part of the problem and coordinating their activities via the processor interconnections This doesn’t exactly match the HEP paradigm, but there are common features, such as the use of parallelization. The most suitable are the event generators, which tend to be stand-alone, mostly computational, and require little in the way of external database access These correspond to perhaps 10 or 15% of ATLAS’ grid usage. Simulation is somewhat more difficult, as these tasks tend to be tied to a particular simulation’s framework, and often require database access for geometry and run conditions These tasks take up approximately two-thirds of the grid capacity, so there is a lot to be gained by moving even a fraction of them to other resources.

Experience with HEP Software
Scheduling Jobs on Argonne Leadership Class systems
Data Stager
Balsam Service
Balsam Daemon
Results
Future Work
Full Text
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