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  1. Book ; Online: Real-time cortical simulations

    Simula, Francesco / Pastorelli, Elena / Paolucci, Pier Stanislao / Martinelli, Michele / Lonardo, Alessandro / Biagioni, Andrea / Capone, Cristiano / Capuani, Fabrizio / Cretaro, Paolo / De Bonis, Giulia / Cicero, Francesca Lo / Pontisso, Luca / Vicini, Piero / Ammendola, Roberto

    energy and interconnect scaling on distributed systems

    2018  

    Abstract: We profile the impact of computation and inter-processor communication on the energy consumption and on the scaling of cortical simulations approaching the real-time regime on distributed computing platforms. Also, the speed and energy consumption of ... ...

    Abstract We profile the impact of computation and inter-processor communication on the energy consumption and on the scaling of cortical simulations approaching the real-time regime on distributed computing platforms. Also, the speed and energy consumption of processor architectures typical of standard HPC and embedded platforms are compared. We demonstrate the importance of the design of low-latency interconnect for speed and energy consumption. The cost of cortical simulations is quantified using the Joule per synaptic event metric on both architectures. Reaching efficient real-time on large scale cortical simulations is of increasing relevance for both future bio-inspired artificial intelligence applications and for understanding the cognitive functions of the brain, a scientific quest that will require to embed large scale simulations into highly complex virtual or real worlds. This work stands at the crossroads between the WaveScalES experiment in the Human Brain Project (HBP), which includes the objective of large scale thalamo-cortical simulations of brain states and their transitions, and the ExaNeSt and EuroExa projects, that investigate the design of an ARM-based, low-power High Performance Computing (HPC) architecture with a dedicated interconnect scalable to million of cores; simulation of deep sleep Slow Wave Activity (SWA) and Asynchronous aWake (AW) regimes expressed by thalamo-cortical models are among their benchmarks.

    Comment: 8 pages, 8 figures, 4 tables, submitted after final publication on PDP2019 proceedings, corrected final DOI. arXiv admin note: text overlap with arXiv:1812.04974, arXiv:1804.03441
    Keywords Computer Science - Distributed ; Parallel ; and Cluster Computing ; Computer Science - Neural and Evolutionary Computing ; Quantitative Biology - Neurons and Cognition
    Subject code 600
    Publishing date 2018-12-12
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Book ; Online: NaNet

    Lonardo, A. / Ameli, F. / Ammendola, R. / Biagioni, A. / Frezza, O. / Lamanna, G. / Cicero, F. Lo / Martinelli, M. / Paolucci, P. S. / Pastorelli, E. / Pontisso, L. / Rossetti, D. / Simeone, F. / Simula, F. / Sozzi, M. / Tosoratto, L. / Vicini, P.

    a Low-Latency, Real-Time, Multi-Standard Network Interface Card with GPUDirect Features

    2014  

    Abstract: While the GPGPU paradigm is widely recognized as an effective approach to high performance computing, its adoption in low-latency, real-time systems is still in its early stages. Although GPUs typically show deterministic behaviour in terms of latency in ...

    Abstract While the GPGPU paradigm is widely recognized as an effective approach to high performance computing, its adoption in low-latency, real-time systems is still in its early stages. Although GPUs typically show deterministic behaviour in terms of latency in executing computational kernels as soon as data is available in their internal memories, assessment of real-time features of a standard GPGPU system needs careful characterization of all subsystems along data stream path. The networking subsystem results in being the most critical one in terms of absolute value and fluctuations of its response latency. Our envisioned solution to this issue is NaNet, a FPGA-based PCIe Network Interface Card (NIC) design featuring a configurable and extensible set of network channels with direct access through GPUDirect to NVIDIA Fermi/Kepler GPU memories. NaNet design currently supports both standard - GbE (1000BASE-T) and 10GbE (10Base-R) - and custom - 34~Gbps APElink and 2.5~Gbps deterministic latency KM3link - channels, but its modularity allows for a straightforward inclusion of other link technologies. To avoid host OS intervention on data stream and remove a possible source of jitter, the design includes a network/transport layer offload module with cycle-accurate, upper-bound latency, supporting UDP, KM3link Time Division Multiplexing and APElink protocols. After NaNet architecture description and its latency/bandwidth characterization for all supported links, two real world use cases will be presented: the GPU-based low level trigger for the RICH detector in the NA62 experiment at CERN and the on-/off-shore data link for KM3 underwater neutrino telescope.
    Keywords Physics - Instrumentation and Detectors ; Computer Science - Hardware Architecture
    Subject code 629
    Publishing date 2014-06-13
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article ; Online: Search for Lepton Number and Flavor Violation in K^{+} and π^{0} Decays.

    Aliberti, R / Ambrosino, F / Ammendola, R / Angelucci, B / Antonelli, A / Anzivino, G / Arcidiacono, R / Bache, T / Baeva, A / Baigarashev, D / Barbanera, M / Bernhard, J / Biagioni, A / Bician, L / Biino, C / Bizzeti, A / Blazek, T / Bloch-Devaux, B / Bonaiuto, V /
    Boretto, M / Bragadireanu, A M / Britton, D / Brizioli, F / Brunetti, M B / Bryman, D / Bucci, F / Capussela, T / Carmignani, J / Ceccucci, A / Cenci, P / Cerny, V / Cerri, C / Checcucci, B / Conovaloff, A / Cooper, P / Cortina Gil, E / Corvino, M / Costantini, F / Cotta Ramusino, A / Coward, D / D'Agostini, G / Dainton, J B / Dalpiaz, P / Danielsson, H / De Simone, N / Di Filippo, D / Di Lella, L / Doble, N / Duk, V / Duval, F / Döbrich, B / Emelyanov, D / Engelfried, J / Enik, T / Estrada-Tristan, N / Falaleev, V / Fantechi, R / Fascianelli, V / Federici, L / Fedotov, S / Filippi, A / Fiorini, M / Fry, J R / Fu, J / Fucci, A / Fulton, L / Gamberini, E / Gatignon, L / Georgiev, G / Ghinescu, S A / Gianoli, A / Giorgi, M / Giudici, S / Gonnella, F / Goudzovski, E / Graham, C / Guida, R / Gushchin, E / Hahn, F / Heath, H / Henshaw, J / Holzer, E B / Husek, T / Hutanu, O E / Hutchcroft, D / Iacobuzio, L / Iacopini, E / Imbergamo, E / Jenninger, B / Jerhot, J / Jones, R W L / Kampf, K / Kekelidze, V / Kholodenko, S / Khoriauli, G / Khotyantsev, A / Kleimenova, A / Korotkova, A / Koval, M / Kozhuharov, V / Kucerova, Z / Kudenko, Y / Kunze, J / Kurochka, V / Kurshetsov, V / Lamanna, G / Lanfranchi, G / Lari, E / Latino, G / Laycock, P / Lazzeroni, C / Lehmann Miotto, G / Lenti, M / Leonardi, E / Lichard, P / Litov, L / Lollini, R / Lomidze, D / Lonardo, A / Lubrano, P / Lupi, M / Lurkin, N / Madigozhin, D / Mannelli, I / Mapelli, A / Marchetto, F / Marchevski, R / Martellotti, S / Massarotti, P / Massri, K / Maurice, E / Medvedeva, M / Mefodev, A / Menichetti, E / Migliore, E / Minucci, E / Mirra, M / Misheva, M / Molokanova, N / Moulson, M / Movchan, S / Napolitano, M / Neri, I / Newson, F / Norton, A / Noy, M / Numao, T / Obraztsov, V / Ostankov, A / Padolski, S / Page, R / Palladino, V / Parenti, A / Parkinson, C / Pedreschi, E / Pepe, M / Perrin-Terrin, M / Peruzzo, L / Petrov, P / Petrov, Y / Petrucci, F / Piandani, R / Piccini, M / Pinzino, J / Polenkevich, I / Pontisso, L / Potrebenikov, Yu / Protopopescu, D / Raggi, M / Romano, A / Rubin, P / Ruggiero, G / Ryjov, V / Salamon, A / Santoni, C / Saracino, G / Sargeni, F / Schuchmann, S / Semenov, V / Sergi, A / Shaikhiev, A / Shkarovskiy, S / Soldi, D / Sozzi, M / Spadaro, T / Spinella, F / Sturgess, A / Sugonyaev, V / Swallow, J / Trilov, S / Valente, P / Velghe, B / Venditti, S / Vicini, P / Volpe, R / Vormstein, M / Wahl, H / Wanke, R / Wrona, B / Yushchenko, O / Zamkovsky, M / Zinchenko, A

    Physical review letters

    2021  Volume 127, Issue 13, Page(s) 131802

    Abstract: Searches for the lepton number violating K^{+}→π^{-}μ^{+}e^{+} decay and the lepton flavor violating K^{+}→π^{+}μ^{-}e^{+} and π^{0}→μ^{-}e^{+} decays are reported using data collected by the NA62 experiment at CERN in 2017-2018. No evidence for these ... ...

    Abstract Searches for the lepton number violating K^{+}→π^{-}μ^{+}e^{+} decay and the lepton flavor violating K^{+}→π^{+}μ^{-}e^{+} and π^{0}→μ^{-}e^{+} decays are reported using data collected by the NA62 experiment at CERN in 2017-2018. No evidence for these decays is found and upper limits of the branching ratios are obtained at 90% confidence level: B(K^{+}→π^{-}μ^{+}e^{+})<4.2×10^{-11}, B(K^{+}→π^{+}μ^{-}e^{+})<6.6×10^{-11} and B(π^{0}→μ^{-}e^{+})<3.2×10^{-10}. These results improve by 1 order of magnitude over previous results for these decay modes.
    Language English
    Publishing date 2021-10-08
    Publishing country United States
    Document type Journal Article
    ZDB-ID 208853-8
    ISSN 1079-7114 ; 0031-9007
    ISSN (online) 1079-7114
    ISSN 0031-9007
    DOI 10.1103/PhysRevLett.127.131802
    Database MEDical Literature Analysis and Retrieval System OnLINE

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