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Real-time heterogeneous stream processing with NaNet in the NA62 experiment
/ Ammendola, R (INFN, Rome2) ; Barbanera, M (INFN, Pisa) ; Biagioni, A (INFN, Rome) ; Cretaro, P (INFN, Rome) ; Frezza, O (INFN, Rome) ; Lamanna, G (Pisa U. ; INFN, Pisa) ; Lo Cicero, F (INFN, Rome) ; Lonardo, A (INFN, Rome) ; Martinelli, M (INFN, Rome) ; Pastorelli, E (INFN, Rome) et al.
The use of GPUs to implement general purpose computational tasks, known as GPGPU since fifteen years ago, has reached maturity. Applications take advantage of the parallel architectures of these devices in many different domains. [...]
2018 - 6 p.
- Published in : J. Phys.: Conf. Ser. 1085 (2018) 032022
Fulltext: PDF;
In : 18th International Workshop on Advanced Computing and Analysis Techniques in Physics Research, Seattle, WA, USA, 21 - 25 Aug 2017, pp.032022
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Low latency network and distributed storage for next generation HPC systems: the ExaNeSt project
/ Ammendola, R (INFN, Rome2) ; Biagioni, A (INFN, Rome) ; Cretaro, P (INFN, Rome) ; Frezza, O (INFN, Rome) ; Lo Cicero, F (INFN, Rome) ; Lonardo, A (INFN, Rome) ; Martinelli, M (INFN, Rome) ; Paolucci, P S (INFN, Rome) ; Pastorelli, E (INFN, Rome) ; Pisani, F (Bologna U. ; INFN, Bologna ; CERN) et al.
With processor architecture evolution, the HPC market has undergone a paradigm shift. The adoption of low-cost, Linux-based clusters extended the reach of HPC from its roots in modelling and simulation of complex physical systems to a broader range of industries, from biotechnology, cloud computing, computer analytics and big data challenges to manufacturing sectors. [...]
2017 - 8 p.
- Published in : J. Phys.: Conf. Ser. 898 (2017) 082045
Fulltext: PDF;
In : 22nd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2016, San Francisco, Usa, 10 - 14 Oct 2016, pp.082045
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Graphics Processors in HEP Low-Level Trigger Systems
/ Ammendola, Roberto (INFN, Rome2) ; Biagioni, Andrea (INFN, Rome) ; Chiozzi, Stefano (INFN, Ferrara) ; Cotta Ramusino, Angelo (INFN, Ferrara) ; Cretaro, Paolo (INFN, Rome) ; Lorenzo, Stefano Di (INFN, Pisa ; Pisa U.) ; Fantechi, Riccardo (INFN, Pisa) ; Fiorini, Massimiliano (INFN, Ferrara ; Ferrara U.) ; Frezza, Ottorino (INFN, Rome) ; Lamanna, Gianluca (Frascati) et al.
Usage of Graphics Processing Units (GPUs) in the so called general-purpose computing is emerging as an effective approach in several fields of science, although so far applications have been employing GPUs typically for offline computations. Taking into account the steady performance increase of GPU architectures in terms of computing power and I/O capacity, the real-time applications of these devices can thrive in high-energy physics data acquisition and trigger systems. [...]
2016 - 7 p.
- Published in : EPJ Web Conf. 127 (2016) 00011
Fulltext: PDF;
In : Connecting the Dots, Vienna, Austria, 22 - 24 Feb 2016, pp.00011
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Graphical processors for HEP trigger systems
/ Ammendola, R (INFN, Rome2) ; Biagioni, A (INFN, Rome) ; Chiozzi, S (INFN, Ferrara) ; Cotta Ramusino, A (INFN, Ferrara) ; Di Lorenzo, S (INFN, Pisa ; Pisa U.) ; Fantechi, R (INFN, Pisa) ; Fiorini, M (INFN, Ferrara ; Ferrara U.) ; Frezza, O (INFN, Rome) ; Lamanna, G (Frascati) ; Lo Cicero, F (INFN, Rome) et al.
General-purpose computing on GPUs is emerging as a new paradigm in several fields of science, although so far applications have been tailored to employ GPUs as accelerators in offline computations. With the steady decrease of GPU latencies and the increase in link and memory throughputs, time is ripe for real-time applications using GPUs in high-energy physics data acquisition and trigger systems. [...]
2017 - 4 p.
- Published in : Nucl. Instrum. Methods Phys. Res., A 845 (2017) 612-615
In : 14th Vienna Conference on Instrumentation, Vienna, Austria, 15 - 19 Feb 2016, pp.612-615
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GPU real-time processing in NA62 trigger system
/ Ammendola, R (INFN, Rome2) ; Biagioni, A (INFN, Rome) ; Chiozzi, S (INFN, Ferrara) ; Cretaro, P (INFN, Rome) ; Di Lorenzo, S (Pisa U. ; INFN, Pisa) ; Fantechi, R (INFN, Pisa) ; Fiorini, M (Ferrara U. ; INFN, Ferrara) ; Frezza, O (INFN, Rome) ; Lamanna, G (Frascati) ; Lo Cicero, F (INFN, Rome) et al.
/NA62
A commercial Graphics Processing Unit (GPU) is used to build a fast Level 0 (L0) trigger system tested parasitically with the TDAQ (Trigger and Data Acquisition systems) of the NA62 experiment at CERN. In particular, the parallel computing power of the GPU is exploited to perform real-time fitting in the Ring Imaging CHerenkov (RICH) detector. [...]
2017 - 4 p.
- Published in : J. Phys.: Conf. Ser. 800 (2017) 012046
In : International Conference on Kaon Physics, Birmingham, United Kingdom, 14-17 Sep 2016, pp.012046
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NaNet: Design of FPGA-based network interface cards for real-time trigger and data acquisition systems in HEP experiments
/ Ammendola, R (INFN, Rome2) ; Biagioni, A (INFN, Rome) ; Frezza, O (INFN, Rome) ; Lamanna, G (Frascati) ; Lo Cicero, F (INFN, Rome) ; Lonardo, A (INFN, Rome) ; Martinelli, M (INFN, Rome) ; Paolucci, P S (INFN, Rome) ; Pastorelli, E (INFN, Rome) ; Pontisso, L (INFN, Pisa ; Pisa U.) et al.
NaNet is a modular design of a family of FPGA-based PCIe Network Interface Cards specialized for low-latency real-time operations. NaNet features a Network Interface module that implements RDMA-style communications both with the host (CPU) and the GPU accelerators memories (GPUDirect P2P/RDMA) relying on the services of a high performance PCIe Gen3 x8 core. [...]
2016 - 3 p.
- Published in : 10.1109/NSSMIC.2015.7581796
In : 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, San Diego, CA, USA, 31 Oct - 7 Nov 2015, pp.7581796
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GPU-based Low-Level Trigger System for Real-Time Cherenkov Ring Fitting
/ Ammendola, R (INFN, Rome2) ; Biagioni, A (INFN, Rome) ; Chiozzi, S (INFN, Ferrara) ; Cotta Ramusino, A (INFN, Ferrara) ; Fantechi, R (INFN, Pisa) ; Fiorini, M (Ferrara U. ; INFN, Ferrara) ; Frezza, O (INFN, Rome) ; Gianoli, A (INFN, Ferrara) ; Lamanna, G (Frascati) ; Lo Cicero, F (INFN, Rome) et al.
A commercial Graphics Processing Unit (GPU) is used to build a fast Level 0 (L0) trigger system for the NA62 experiment at CERN. In particular, the parallel computing power of the GPU is exploited to perform real-time fitting in the Ring Imaging CHerenkov (RICH) detector for the L0 trigger of the NA62 experiment. [...]
2016 - 4 p.
- Published in : 10.1109/NSSMIC.2015.7581774
In : 2015 IEEE Nuclear Science Symposium and Medical Imaging Conference, San Diego, CA, USA, 31 Oct - 7 Nov 2015, pp.7581774
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GPU-based real-time triggering in the NA62 experiment
/ Ammendola, R. (INFN, Rome2) ; Biagioni, A. (INFN, Rome) ; Cretaro, P. (INFN, Rome) ; Di Lorenzo, S. (INFN, Pisa) ; Fantechi, R. (INFN, Pisa) ; Fiorini, M. (INFN, Ferrara) ; Frezza, O. (INFN, Rome) ; Lamanna, G. (INFN, Pisa ; CERN) ; Lo Cicero, F. (INFN, Rome) ; Lonardo, A. (INFN, Rome) et al.
Over the last few years the GPGPU (General-Purpose computing on Graphics Processing Units) paradigm represented a remarkable development in the world of computing. [...]
arXiv:1606.04099.
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2016. - 4 p.
Preprint - Full text
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