arXiv subjects

A. Gianelle

Publications and source records attributed to A. Gianelle.

4 recordsLinked to original sources

arXiv2013

Applications of Many-Core Technologies to On-line Event Reconstruction in High Energy Physics Experiments

Interest in many-core architectures applied to real time selections is growing in High Energy Physics (HEP) experiments. In this paper we describe performance measurements of many-core devices when applied to a typical HEP online task: the selection of events based on the trajectories of charged particles. We use as benchmark a scaled-up version of the algorithm used at CDF experiment at Tevatron for online track reconstruction - the SVT algorithm - as a realistic test-case for low-latency trigger systems using new computing architectures for LHC experiment. We examine the complexity/performance trade-off in porting existing serial algorithms to many-core devices. We measure performance of different architectures (Intel Xeon Phi and AMD GPUs, in addition to NVidia GPUs) and different software environments (OpenCL, in addition to NVidia CUDA). Measurements of both data processing and data transfer latency are shown, considering different I/O strategies to/from the many-core devices.

physics.ins-det↗

arXiv2013

Many-core applications to online track reconstruction in HEP experiments

Interest in parallel architectures applied to real time selections is growing in High Energy Physics (HEP) experiments. In this paper we describe performance measurements of Graphic Processing Units (GPUs) and Intel Many Integrated Core architecture (MIC) when applied to a typical HEP online task: the selection of events based on the trajectories of charged particles. We use as benchmark a scaled-up version of the algorithm used at CDF experiment at Tevatron for online track reconstruction - the SVT algorithm - as a realistic test-case for low-latency trigger systems using new computing architectures for LHC experiment. We examine the complexity/performance trade-off in porting existing serial algorithms to many-core devices. Measurements of both data processing and data transfer latency are shown, considering different I/O strategies to/from the parallel devices.

physics.ins-det↗

arXiv2003

The EU DataGrid Workload Management System: towards the second major release

In the first phase of the European DataGrid project, the 'workload management' package (WP1) implemented a working prototype, providing users with an environment allowing to define and submit jobs to the Grid, and able to find and use the ``best'' resources for these jobs. Application users have now been experiencing for about a year now with this first release of the workload management system. The experiences acquired, the feedback received by the user and the need to plug new components implementing new functionalities, triggered an update of the existing architecture. A description of this revised and complemented workload management system is given.

cs.DC↗

arXiv2003

The first deployment of workload management services on the EU DataGrid Testbed: feedback on design and implementation

Application users have now been experiencing for about a year with the standardized resource brokering services provided by the 'workload management' package of the EU DataGrid project (WP1). Understanding, shaping and pushing the limits of the system has provided valuable feedback on both its design and implementation. A digest of the lessons, and "better practices", that were learned, and that were applied towards the second major release of the software, is given.

cs.DC↗