دانلود رایگان مقاله تطبیق ژنراتور سریال Alpgen پارتن - بر همکنش برای شبیه سازی برخورد LHC

Abstract

As the LHC moves to higher energies and luminosity, the demand for computing resources increases accordingly and will soon outpace the growth of the Worldwide LHC Computing Grid. To meet this greater demand, event generation Monte Carlo was targeted for adaptation to run on Mira, the supercomputer at the Argonne Leadership Computing Facility. Alpgen is a Monte Carlo event generation application that is used by LHC experiments in the simulation of collisions that take place in the Large Hadron Collider. This paper details the process by which Alpgen was adapted from a single-processor serial-application to a large-scale parallel-application and the performance that was achieved.

4. Conclusion

Event generation is essential for LHC experimental studies. With Run II currently underway, and the high-luminosity upgrade planned for Run III, an order of magnitude increase in the required computing resources is expected, outpacing the expected growth in Grid capacity. Meanwhile, the trend in leadership computing is toward orders of magnitude larger systems in the coming decade. It is strategic to adapt codes to run on these systems to deliver increased capacity today and to prepare for future systems. This work describes adapting the serial application Alpgen to run as a large-scale parallel application on Mira. By introducing MPI to improve data movement, combining multiple phases of application execution in a single batch job, and utilizing computenode RAM disks to store temporary data, Alpgen scaled to over a million threads.