12315
D. Funke, T. Hauth, V. Innocente, G. Quast, P. Sanders, D. Schieferdecker
The Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider (LHC) is a general-purpose particle detector and comprises the largest silicon-based tracking system built to date with 75 million individual readout channels. The precise reconstruction of particle tracks from this tremendous amount of input channels is a compute-intensive task. The foreseen LHC beam parameters […]
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Flavio Lombardi
Computation outsourcing is an increasingly successful paradigm today. Private and public organizations, as well as common users, can access a large number of economically viable resources to perform the desired computations or access data. The cloud approach allows outsourcers to offer on-demand scalable services to third parties or to perform large computations without high server […]
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Jose M. Molero, Ester M. Garzon, Inmaculada Garcia, Enrique S. Quintana-Orti, Antonio Plaza
Anomaly detection is an important task for hyperspectral data exploitation. Although many algorithms have been developed for this purpose in recent years, due to the large dimensionality of hyperspectral image data, fast anomaly detection remains a challenging task. In this work, we exploit the computational power of commodity graphics processing units (GPUs) and multicore processors […]
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Damian Janusz Matuszewski
Plankton microorganisms constitute the base of the marine food web and play a great role in global atmospheric carbon dioxide drawdown. Moreover, being very sensitive to any environmental changes they allow noticing (and potentially counteracting) them faster than with any other means. As such they not only influence the fishery industry but are also frequently […]
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R. Ammendola, A. Biagioni, L. Deri, M. Fiorini, O. Frezza, G. Lamanna, F. Lo Cicero, A. Lonardo, A. Messina, M. Sozzi, F. Pantaleo, P.S. Paolucci, D. Rossetti, F. Simula, L. Tosoratto, P. Vicini
We describe a pilot project (GAP – GPU Application Project) for the use of GPUs (Graphics processing units) in online triggering applications for High Energy Physics experiments. Two major trends can be identified in the development of trigger and DAQ systems for particle physics experiments: the massive use of general-purpose commodity systems such as commercial […]
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Jung Woo Choe, Amin Nikoozadeh, Omer Oralkan, Butrus T. Khuri-Yakub
We developed a GPU-based real-time imaging software suite for medical ultrasound imaging to provide a fast real-time imaging platform for various probe geometries and imaging schemes. The imaging software receives raw RF data from a data acquisition system, and processes them on GPU to reconstruct real-time images. The most general-purpose imaging program in the suite […]
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In-Kyu Jeong, Min-Gee Hong, Kwang-Soo Hahn, Joonsoo Choi, Choen Kim
High resolution satellite images are now widely used for a variety of mapping applications including photogrammetry, GIS data acquisition and visualization. As the spectral and spatial data size of satellite images increases, a greater processing power is needed to process the images. The solution of these problems is parallel systems. Parallel processing techniques have been […]
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D. Emeliyanov, J. Howard
Results on the performance and viability of data-parallel algorithms on Graphics Processing Units (GPUs) in the ATLAS Level 2 trigger system are presented. We describe the existing trigger data preparation and track reconstruction algorithms, motivation for their optimization, GPU-parallelized versions of these algorithms, and a "client-server" solution for hybrid CPU/GPU event processing used for integration […]
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Gianmaria Collazuol, Vincenzo Innocente, Felice Pantaleo, Marco Sozzi
We describe a pilot project for the use of GPUs in a real-time triggering application in the early trigger stages at the CERN NA62 experiment, and the results of the first field tests together with a prototype data acquisition (DAQ) system. This pilot project within NA62 aims at integrating GPUs into the central L0 trigger […]
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Mark M. Seeger
The ever-rising importance of communication services and devices emphasizes the significance of intrusion detection. Besides general network attacks, private hosts in particular are within the focus of cyber criminals. Private data theft and the integration of individual hosts into large-scale botnets are two common purposes successfully subverted systems are used for. In order to detect […]
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Luca Caucci
This dissertation investigates the application of list-mode data to detection, estimation, and image reconstruction problems, with an emphasis on emission tomography in medical imaging. We begin by introducing a theoretical framework for list-mode data and we use it to define two observers that operate on list-mode data. These observers are applied to the problem of […]
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Giovanni Cerchiari, Fabrizio Croccolo, Frederic Cardinaux, Frank Scheffold
We present an implementation of the analysis of dynamic near field scattering (NFS) data using a graphics processing unit (GPU). We introduce an optimized data management scheme thereby limiting the number of operations required. Overall, we reduce the processing time from hours to minutes, for typical experimental conditions. Previously the limiting step in such experiments, […]
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