Parallel and High-Speed Algorithms for Event Reconstruction and Detector Alignment

Call for Papers

The experiments on the next generation of accelerators, such as the high-luminosity LHC at CERN, SuperKEKB in Japan, SuperB in Italy, and FAIR in Germany, will pose unprecedented challenges to the event reconstruction algorithms. The experiments are characterized by high collision rates, large amounts of produced particles, complex detector systems, and, in some cases, nonhomogeneous magnetic fields. It is therefore necessary to develop fast and efficient algorithms for online data selection and analysis and to implement them on the state-of-the-art hardware. Parallelization of event reconstruction algorithms will be necessary to be able to keep up with the data rate of the tracking systems. Many-core CPUs, graphic processing units (GPUs), and field programmable gate arrays (FPGAs) are possible choices of the hardware that offers the required processing power. In order to take full advantage of the novel hardware architectures, the traditional event reconstruction algorithms will have to be redesigned.

Online event selection will work properly only if the geometrical alignment of the tracking system is up-to-date. Fast alignment in (almost) real time is therefore a necessary prerequisite for successful operation of the selection mechanism. Moreover, the layout of the tracking system has an impact on the efficiency and speed of the event reconstruction and alignment algorithms and should be designed with this aspect in mind.

We invite researchers in the field to submit original research articles that describe advances in the design and implementation of event reconstruction and alignment algorithms on novel hardware architectures. Potential topics include, but are not limited to:

• Parallel track finding on many-core CPUs and GPUs
• High-speed track finding using FPGAs and content addressable memories (CAMs)
• Parallel track fitting on many-core CPUs and GPUs
• High-speed vertex finding and fitting
• Parallel and high-speed alignment of complex tracking systems
• Performance measurements and comparative studies of parallel algorithms
• Optimization of tracker system design with respect to speed and efficiency of reconstruction and alignment algorithms

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.hindawi.com/journals/ahep/guidelines/. Prospective authors should submit an electronic copy of their complete manuscript through the journal Manuscript Tracking System at http://mts.hindawi.com/submit/journals/ahep/pdet/ according to the following timetable:

Lead Guest Editor

• Rudolf Fruhwirth, Institute of High Energy Physics, Austrian Academy of Sciences, 1050 Wien, Austria

Guest Editors

• Ivan Kisel, Frankfurt Institute for Advanced Studies, 60438 Frankfurt, Germany
• Claus Kleinwort, Deutsches Elektronen-Synchrotron (DESY), 22607 Hamburg, Germany
• Are Strandlie, Gjøvik University College, 2802 Gjovik, Norway