Zobrazeno 1 - 10
of 26
pro vyhledávání: '"Luca Canali"'
Autor:
Luca Canalini, Elif G. Becker, Franka Risch, Stefanie Bette, Simon Hellbrueck, Judith Becker, Katharina Rippel, Christian Scheurig-Muenkler, Thomas Kroencke, Josua A. Decker
Publikováno v:
Diagnostics, Vol 14, Iss 22, p 2483 (2024)
Objectives: Virtual non-contrast (VNC) series reconstructed from contrast-enhanced cardiac scans acquired with photon counting detector CT (PCD-CT) systems have the potential to replace true non-contrast (TNC) series. However, a quantitative comparis
Externí odkaz:
https://doaj.org/article/419820f18c774e209104f9e5f1d85251
Autor:
Andrea Costantino, Luca Canali, Bianca Maria Festa, Giuseppe Spriano, Giuseppe Mercante, Armando De Virgilio
Publikováno v:
Head & Neck. 44:2288-2300
The aim of our study was to better define the role of sentinel lymph node biopsy (SLNB) in high-risk cutaneous squamous cell carcinoma of the head and neck (cSCCHN). A systematic review and meta-analysis was performed according to the PRISMA statemen
Autor:
Luca Canali
Apache Spark is a very successful open-source tool for data processing. This talk will focus on the use of Spark and its DataFrame API in the context of HEP. We will go through a few demos of some simple and outreach-style analyses implemented using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5c062c0ba9587a8c2c066ddfe4a19df7
Autor:
Piotr Mrowczynski, Emil Kleszcz, Manuel Martin Marquez, Riccardo Castellotti, Zbigniew Baranowski, Jose Carlos Luna Duran, Evangelos Motesnitsalis, Prasanth Kothuri, Luca Canali, Nuno Guilherme Matos de Barros
Publikováno v:
EPJ Web of Conferences, Vol 214, p 04058 (2019)
The interest in using scalable data processing solutions based on Apache Hadoop ecosystem is constantly growing in the High Energy Physics (HEP) community. This drives the need for increased reliability and availability of the central Hadoop service
Autor:
Maria Girone, S. Y. Hoh, Marco Zanetti, Peter Elmer, Evangelos Motesnitsalis, Ian Fisk, Jim Pivarski, Andrea Luiselli, Vasileios Dimakopoulos, Matteo Cremonesi, Claudio Bellini, Oliver Gutsche, B. Jayatilaka, Bianny Bian, Luca Canali, Viktor Khristenko, Dominick Olivito, Alexey Svyatkovskiy, Andrew Melo, Jacopo Pazzini
Publikováno v:
EPJ Web of Conferences, Vol 214, p 06030 (2019)
The HEP community is approaching an era were the excellent performances of the particle accelerators in delivering collision at high rate will force the experiments to record a large amount of information. The growing size of the datasets could poten
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b45f1b3dfd304c2826e5c5bb52084b8
http://cds.cern.ch/record/2654764
http://cds.cern.ch/record/2654764
Autor:
Prasanth Kothuri, Enrico Bocchi, Maciej Malawski, Danilo Piparo, Jan Kaspar, Jakub Moscicki, Leszek Grzanka, Valentina Avati, Enrico Guiraud, Milosz Blaszkiewicz, Massimo Lamanna, Luca Canali, Javier Cervantes, Aleksandra Mnich, Shravan Murali, Diogo Castro, Enric Tejedor
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783030293994
Euro-Par
Euro-Par
The High-Energy Physics community faces new data processing challenges caused by the expected growth of data resulting from the upgrade of LHC accelerator. These challenges drive the demand for exploring new approaches for data analysis. In this pape
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd5353349650f46de0cffc75a42f4172
https://doi.org/10.1007/978-3-030-29400-7_18
https://doi.org/10.1007/978-3-030-29400-7_18
The effective utilization at scale of complex machine learning (ML) techniques for HEP use cases poses several technological challenges, most importantly on the actual implementation of dedicated end-to-end data pipelines. A solution to these challen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3729d42fe10f756a95d412fa297c613b
http://cds.cern.ch/record/2692993
http://cds.cern.ch/record/2692993
Autor:
Robert Currie, A.A. Alves, Armin Michael Nairz, A. Valassi, Hadrien Grasland, Nurcan Ozturk, Gianluca Cerminara, Davide Costanzo, Gabriel Perdue, G Lima, W. Pokorski, Renaud Vernet, Jürgen Reuter, Marian Babik, Glenn Patrick, Giacomo Govi, David Crooks, Sergio F Novaes, Mihaly Novak, Paul Laycock, Eric Lancon, J. R. G. Fernandez, Torben Ferber, Steven Farrell, Nicolo Magini, Josh Mcfayden, Sean Murray, Gordon Watts, B. K. Jashal, Isidro Gonzalez Caballero, Jacob Linacre, Frank Wuerthwein, Margaret Votava, Dirk Duellmann, Alessandra Forti, Peter van Gemmeren, Patricia Mendez Lorenzo, Jan Iven, Giovanni Franzoni, Charles Leggett, Sw. Banerjee, T. Kuhr, Markus Schulz, Alberto Ribon, Christopher Tunnell, Valentin Kuznetsov, Roger Jones, Frank Winklmeier, Claudio Grandi, Peter Elmer, Sünje Dallmeier-Tiessen, Gordon Stewart, Giordon Stark, Benedikt Hegner, Giuseppe Bagliesi, Catrin Bernius, Burt Holzman, Nguyen Anh-Ky, Alex Pearce, Gancho Dimitrov, Ian Bird, H. Schellman, Scott Snyder, Gloria Corti, Walter Lampl, Edward Moyse, E. Cogneras, Alexei Klimentov, Frederic Derue, Taylor Childers, K. Genser, J. Cranshaw, Manuel Giffels, Andrew Buckley, Shawn McKee, Marilena Bandieramonte, C. Bozzi, Adam L. Lyon, Heather Gray, Oliver Keeble, Todor Ivanov, Vakhtang Tsulaia, Daniel S. Katz, Gerhard Raven, Renato Santana, Agnieszka Dziurda, Marco Clemencic, Borut Paul Kerševan, Philip Chang, Johannes Elmsheuser, Carl Vuosalo, Gian Piero Siroli, Javier Cervantes Villanueva, Daniele Bonacorsi, Mark Hodgkinson, Vladimir Gligorov, Graeme A. Stewart, L. Grillo, Jakob Blomer, Markus Klute, Kevin Pedro, Michela Paganini, Sabine Crépé-Renaudin, Marko Bracko, G. Cosmo, Eduardo Rodrigues, Dmitri Konstantinov, Kaushik De, Jose Benito Gonzalez Lopez, Oliver Gutsche, Miron Livny, Farah Hariri, Teng Li, Laurent Duflot, U. Tamponi, Alaettin Serhan Mete, Jose M Hernandez, Frank Jm Geurts, Ulrik Egede, Jose Flix, Richard Mount, G. Andronico, Dario Menasce, David Lange, Steven Schramm, Vardan Gyurjyan, Lukas Heinrich, Maria Girone, Dorian Kcira, Giulio Eulisse, Alberto Sánchez-Hernández, Francesco Polci, Antonio Boveia, T. J. Smith, Peter Clarke, Ivan Glushkov, Stewart Martin-Haugh, Jeff Templon, H. Meinhard, James Robinson, David Colling, Jean-Roch Vlimant, Michael Kagan, Luca Atzori, Riccardo-Maria Bianchi, Douglas Benjamin, Kyle Cranmer, S. Fuess, Andre Sailer, Sofia Vallecorsa, Gianpaolo Carlino, Torre Wenaus, Gang Chen, Salvatore Di Guida, Soon Yung Jun, Tomas Lindén, Giacomo Tenaglia, Grigori Rybkine, Michael H. Seymour, Albert De Roeck, Simone Campana, Mario Lassnig, Andrea Sartirana, B. Viren, Andrea Formica, Leo Piilonen, John Harvey, Birgit Lewendel, Panagiotis Spentzouris, Sally Seidel, Andrea Sciabà, Stefano Belforte, Dave Dykstra, Leonardo Cristella, Douglas Gingrich, Lorenzo Moneta, Gerardo Ganis, Lorenzo Rinaldi, Meghan Kane, Zhang Xiao-Mei, John Apostolakis, Bodhitha Jayatilaka, M. D. Sokoloff, Thomas Hauth, Carlos Vázquez Sierra, Laurent Bernard Aphecetche, Xingtao Huang, Kajari Mazumdar, R. Mehdiyev, Antonio María Pérez-Calero Yzquierdo, Thomas McCauley, Mike Williams, M. S. Neubauer, Michael Hildreth, Stefan Roiser, Stefano Giagu, Peter Zahariev Hristov, Anyes Taffard, A. Petzold, Martin Barisits, Edward Karavakis, Jing-Ge Shiu, Alessandro Di Girolamo, Jim Kowalkowski, Andreas Heiss, Tai Sakuma, V. Daniel Elvira, Jeremy Coles, Davide Sgalaberna, Johannes Albrecht, James Chapman, Tomasz Bold, Antonio Delgado Peris, Robert Gardner, Andrew McNab, Christoph Wissing, Romain Wartel, Sandro Christian Wenzel, Ian Fisk, Vladimir Ivanchenko, Ian Collier, Peter Love, Andres Pacheco Pages, Jim Pivarski, Edoardo Martelli, Vincent R. Pascuzzi, Michel Jouvin, Hartmut Stadie, Makoto Asai, Albert Puig Navarro, Gunter Quast, Troels Petersen, Wahid Bhimji, Brian Bockelman, Andrej Filipcic, B. Pearson, Stefan Hoeche, Luca Perrozzi, Jaroslava Schovancova, Z. Marshall, Marco Cattaneo, Vincent Garonne, Hannah Short, Danilo Piparo, Liviu Valsan, Lothar A. T. Bauerdick, Gareth Roy, Horst Severini, A. Oyanguren, Francesco Giacomini, Kenneth Bloom, A. Gellrich, Marko Petrič, Efe Yazgan, Samuel Cadellin Skipsey, Andrea Dotti, W. Gohn, Wen Guan, Tommaso Boccali, C. Biscarat, Katarzyna Maria Dziedziniewicz-Wojcik, L. Kreczko, Simon George, Arturo Sánchez, Philippe Canal, Illya Shapoval, Caterina Doglioni, Ilya Komarov, Nuno Filipe Castro, Patrick Koppenburg, Jérôme Pansanel, Pere Mato, Wei Yang, Paolo Calafiura, Sezen Sekmen, C. Voss, David Britton, Thomas Hartmann, Guilherme Amadio, Andrew Norman, Michel De Cian, James Letts, Sebastian Lopienski, David Rousseau, Andrew Hanushevsky, Jamie Shiers, Andrei Gheata, Martin Ritter, Karolos Potamianos, Elizabeth Sexton-Kennedy, Michele Michelotto, Luca Canali, Cedric Serfon, Beate Heinemann, Giuseppe Lo Presti, J. Piedra, Fernanda Psihas, Ben Couturier, Robert K. Kutschke, Jovan Mitrevski, Charles William Kalderon, Benjamin Wynne, B. Morgan, Frank Gaede, Mihaela Gheata, Michael H Kirby, P. Buncic, Eric Wayne Vaandering, James Frost, Conor Fitzpatrick
Publikováno v:
Comput.Softw.Big Sci.
Comput.Softw.Big Sci., 2019, 3 (1), pp.7. ⟨10.1007/s41781-018-0018-8⟩
Computing and Software for Big Science
Computing and Software for Big Science, 2019, 3 (1), pp.7. ⟨10.1007/s41781-018-0018-8⟩
Albrecht, J, Jr, A A A, Amadio, G, Andronico, G, Anh-Ky, N, Aphecetche, L, Apostolakis, J, Asai, M, Atzori, L, Babik, M, Bagliesi, G, Bandieramonte, M, Banerjee, S, Barisits, M, Bauerdick, L A T, Belforte, S, Benjamin, D, Bernius, C, Bhimji, W, Bianchi, R M, Bird, I, Biscarat, C, Blomer, J, Bloom, K, Boccali, T, Bockelman, B, Bold, T, Bonacorsi, D, Boveia, A, Bozzi, C, Bracko, M, Britton, D, Buckley, A, Buncic, P, Calafiura, P, Campana, S, Canal, P, Canali, L, Carlino, G, Castro, N, Cattaneo, M, Cerminara, G, Villanueva, J C, Chang, P, Chapman, J, Chen, G, Childers, T, Clarke, P, Clemencic, M, Cogneras, E, Coles, J, Collier, I, Colling, D, Corti, G, Cosmo, G, Costanzo, D, Couturier, B, Cranmer, K, Cranshaw, J, Cristella, L, Crooks, D, Crépé-Renaudin, S, Currie, R, Dallmeier-Tiessen, S, De, K, Cian, M D, Roeck, A D, Peris, A D, Derue, F, Girolamo, A D, Guida, S D, Dimitrov, G, Doglioni, C, Dotti, A, Duellmann, D, Duflot, L, Dykstra, D, Dziedziniewicz-Wojcik, K, Dziurda, A, Egede, U, Elmer, P, Elmsheuser, J, Elvira, V D, Eulisse, G, Farrell, S, Ferber, T, Filipcic, A, Fisk, I, Fitzpatrick, C, Flix, J, Formica, A, Forti, A, Franzoni, G, Frost, J, Fuess, S, Gaede, F, Ganis, G, Gardner, R, Garonne, V, Gellrich, A, Genser, K, George, S, Geurts, F, Gheata, A, Gheata, M, Giacomini, F, Giagu, S, Giffels, M, Gingrich, D, Girone, M, Gligorov, V V, Glushkov, I, Gohn, W, Lopez, J B G, Caballero, I G, Fernández, J R G, Govi, G, Grandi, C, Grasland, H, Gray, H, Grillo, L, Guan, W, Gutsche, O, Gyurjyan, V, Hanushevsky, A, Hariri, F, Hartmann, T, Harvey, J, Hauth, T, Hegner, B, Heinemann, B, Heinrich, L, Heiss, A, Hernández, J M, Hildreth, M, Hodgkinson, M, Hoeche, S, Holzman, B, Hristov, P, Huang, X, Ivanchenko, V N, Ivanov, T, Iven, J, Jashal, B, Jayatilaka, B, Jones, R, Jouvin, M, Jun, S Y, Kagan, M, Kalderon, C W, Kane, M, Karavakis, E, Katz, D S, Kcira, D, Keeble, O, Kersevan, B P, Kirby, M, Klimentov, A, Klute, M, Komarov, I, Konstantinov, D, Koppenburg, P, Kowalkowski, J, Kreczko, L, Kuhr, T, Kutschke, R, Kuznetsov, V, Lampl, W, Lancon, E, Lange, D, Lassnig, M, Laycock, P, Leggett, C, Letts, J, Lewendel, B, Li, T, Lima, G, Linacre, J, Linden, T, Livny, M, Presti, G L, Lopienski, S, Love, P, Lyon, A, Magini, N, Marshall, Z L, Martelli, E, Martin-Haugh, S, Mato, P, Mazumdar, K, McCauley, T, McFayden, J, McKee, S, McNab, A, Mehdiyev, R, Meinhard, H, Menasce, D, Lorenzo, P M, Mete, A S, Michelotto, M, Mitrevski, J, Moneta, L, Morgan, B, Mount, R, Moyse, E, Murray, S, Nairz, A, Neubauer, M S, Norman, A, Novaes, S, Novak, M, Oyanguren, A, Ozturk, N, Pages, A P, Paganini, M, Pansanel, J, Pascuzzi, V R, Patrick, G, Pearce, A, Pearson, B, Pedro, K, Perdue, G, Yzquierdo, A P-C, Perrozzi, L, Petersen, T, Petric, M, Petzold, A, Piedra, J, Piilonen, L, Piparo, D, Pivarski, J, Pokorski, W, Polci, F, Potamianos, K, Psihas, F, Navarro, A P, Quast, G, Raven, G, Reuter, J, Ribon, A, Rinaldi, L, Ritter, M, Robinson, J, Rodrigues, E, Roiser, S, Rousseau, D, Roy, G, Rybkine, G, Sailer, A, Sakuma, T, Santana, R, Sartirana, A, Schellman, H, Schovancová, J, Schramm, S, Schulz, M, Sciabà, A, Seidel, S, Sekmen, S, Serfon, C, Severini, H, Sexton-Kennedy, E, Seymour, M, Sgalaberna, D, Shapoval, I, Shiers, J, Shiu, J-G, Short, H, Siroli, G P, Skipsey, S, Smith, T, Snyder, S, Sokoloff, M D, Spentzouris, P, Stadie, H, Stark, G, Stewart, G, Stewart, G A, Sánchez, A, Sánchez-Hernández, A, Taffard, A, Tamponi, U, Templon, J, Tenaglia, G, Tsulaia, V, Tunnell, C, Vaandering, E, Valassi, A, Vallecorsa, S, Valsan, L, Gemmeren, P V, Vernet, R, Viren, B, Vlimant, J-R, Voss, C, Votava, M, Vuosalo, C, Sierra, C V, Wartel, R, Watts, G T, Wenaus, T, Wenzel, S, Williams, M, Winklmeier, F, Wissing, C, Wuerthwein, F, Wynne, B, Xiaomei, Z, Yang, W & Yazgan, E 2019, ' A Roadmap for HEP Software and Computing R &D for the 2020s ', Computing and Software for Big Science, vol. 3, no. 7 . https://doi.org/10.1007/s41781-018-0018-8
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Computing and software for big science 3(1), 7 (2019). doi:10.1007/s41781-018-0018-8
Foundation, HEPS; Albrecht, J; Jr, AAA; Amadio, G; Andronico, G; Anh-Ky, N; et al.(2018). A Roadmap for HEP Software and Computing R&D for the 2020s. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/93c2r1gr
Comput.Softw.Big Sci., 2019, 3 (1), pp.7. ⟨10.1007/s41781-018-0018-8⟩
Computing and Software for Big Science
Computing and Software for Big Science, 2019, 3 (1), pp.7. ⟨10.1007/s41781-018-0018-8⟩
Albrecht, J, Jr, A A A, Amadio, G, Andronico, G, Anh-Ky, N, Aphecetche, L, Apostolakis, J, Asai, M, Atzori, L, Babik, M, Bagliesi, G, Bandieramonte, M, Banerjee, S, Barisits, M, Bauerdick, L A T, Belforte, S, Benjamin, D, Bernius, C, Bhimji, W, Bianchi, R M, Bird, I, Biscarat, C, Blomer, J, Bloom, K, Boccali, T, Bockelman, B, Bold, T, Bonacorsi, D, Boveia, A, Bozzi, C, Bracko, M, Britton, D, Buckley, A, Buncic, P, Calafiura, P, Campana, S, Canal, P, Canali, L, Carlino, G, Castro, N, Cattaneo, M, Cerminara, G, Villanueva, J C, Chang, P, Chapman, J, Chen, G, Childers, T, Clarke, P, Clemencic, M, Cogneras, E, Coles, J, Collier, I, Colling, D, Corti, G, Cosmo, G, Costanzo, D, Couturier, B, Cranmer, K, Cranshaw, J, Cristella, L, Crooks, D, Crépé-Renaudin, S, Currie, R, Dallmeier-Tiessen, S, De, K, Cian, M D, Roeck, A D, Peris, A D, Derue, F, Girolamo, A D, Guida, S D, Dimitrov, G, Doglioni, C, Dotti, A, Duellmann, D, Duflot, L, Dykstra, D, Dziedziniewicz-Wojcik, K, Dziurda, A, Egede, U, Elmer, P, Elmsheuser, J, Elvira, V D, Eulisse, G, Farrell, S, Ferber, T, Filipcic, A, Fisk, I, Fitzpatrick, C, Flix, J, Formica, A, Forti, A, Franzoni, G, Frost, J, Fuess, S, Gaede, F, Ganis, G, Gardner, R, Garonne, V, Gellrich, A, Genser, K, George, S, Geurts, F, Gheata, A, Gheata, M, Giacomini, F, Giagu, S, Giffels, M, Gingrich, D, Girone, M, Gligorov, V V, Glushkov, I, Gohn, W, Lopez, J B G, Caballero, I G, Fernández, J R G, Govi, G, Grandi, C, Grasland, H, Gray, H, Grillo, L, Guan, W, Gutsche, O, Gyurjyan, V, Hanushevsky, A, Hariri, F, Hartmann, T, Harvey, J, Hauth, T, Hegner, B, Heinemann, B, Heinrich, L, Heiss, A, Hernández, J M, Hildreth, M, Hodgkinson, M, Hoeche, S, Holzman, B, Hristov, P, Huang, X, Ivanchenko, V N, Ivanov, T, Iven, J, Jashal, B, Jayatilaka, B, Jones, R, Jouvin, M, Jun, S Y, Kagan, M, Kalderon, C W, Kane, M, Karavakis, E, Katz, D S, Kcira, D, Keeble, O, Kersevan, B P, Kirby, M, Klimentov, A, Klute, M, Komarov, I, Konstantinov, D, Koppenburg, P, Kowalkowski, J, Kreczko, L, Kuhr, T, Kutschke, R, Kuznetsov, V, Lampl, W, Lancon, E, Lange, D, Lassnig, M, Laycock, P, Leggett, C, Letts, J, Lewendel, B, Li, T, Lima, G, Linacre, J, Linden, T, Livny, M, Presti, G L, Lopienski, S, Love, P, Lyon, A, Magini, N, Marshall, Z L, Martelli, E, Martin-Haugh, S, Mato, P, Mazumdar, K, McCauley, T, McFayden, J, McKee, S, McNab, A, Mehdiyev, R, Meinhard, H, Menasce, D, Lorenzo, P M, Mete, A S, Michelotto, M, Mitrevski, J, Moneta, L, Morgan, B, Mount, R, Moyse, E, Murray, S, Nairz, A, Neubauer, M S, Norman, A, Novaes, S, Novak, M, Oyanguren, A, Ozturk, N, Pages, A P, Paganini, M, Pansanel, J, Pascuzzi, V R, Patrick, G, Pearce, A, Pearson, B, Pedro, K, Perdue, G, Yzquierdo, A P-C, Perrozzi, L, Petersen, T, Petric, M, Petzold, A, Piedra, J, Piilonen, L, Piparo, D, Pivarski, J, Pokorski, W, Polci, F, Potamianos, K, Psihas, F, Navarro, A P, Quast, G, Raven, G, Reuter, J, Ribon, A, Rinaldi, L, Ritter, M, Robinson, J, Rodrigues, E, Roiser, S, Rousseau, D, Roy, G, Rybkine, G, Sailer, A, Sakuma, T, Santana, R, Sartirana, A, Schellman, H, Schovancová, J, Schramm, S, Schulz, M, Sciabà, A, Seidel, S, Sekmen, S, Serfon, C, Severini, H, Sexton-Kennedy, E, Seymour, M, Sgalaberna, D, Shapoval, I, Shiers, J, Shiu, J-G, Short, H, Siroli, G P, Skipsey, S, Smith, T, Snyder, S, Sokoloff, M D, Spentzouris, P, Stadie, H, Stark, G, Stewart, G, Stewart, G A, Sánchez, A, Sánchez-Hernández, A, Taffard, A, Tamponi, U, Templon, J, Tenaglia, G, Tsulaia, V, Tunnell, C, Vaandering, E, Valassi, A, Vallecorsa, S, Valsan, L, Gemmeren, P V, Vernet, R, Viren, B, Vlimant, J-R, Voss, C, Votava, M, Vuosalo, C, Sierra, C V, Wartel, R, Watts, G T, Wenaus, T, Wenzel, S, Williams, M, Winklmeier, F, Wissing, C, Wuerthwein, F, Wynne, B, Xiaomei, Z, Yang, W & Yazgan, E 2019, ' A Roadmap for HEP Software and Computing R &D for the 2020s ', Computing and Software for Big Science, vol. 3, no. 7 . https://doi.org/10.1007/s41781-018-0018-8
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Científico de Acesso Aberto de Portugal
Repositório Científico de Acesso Aberto de Portugal (RCAAP)
instacron:RCAAP
Computing and software for big science 3(1), 7 (2019). doi:10.1007/s41781-018-0018-8
Foundation, HEPS; Albrecht, J; Jr, AAA; Amadio, G; Andronico, G; Anh-Ky, N; et al.(2018). A Roadmap for HEP Software and Computing R&D for the 2020s. Lawrence Berkeley National Laboratory: Retrieved from: http://www.escholarship.org/uc/item/93c2r1gr
Computing and software for big science 3(1), 7 (2019). doi:10.1007/s41781-018-0018-8
Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, eithe
Particle physics has an ambitious and broad experimental programme for the coming decades. This programme requires large investments in detector hardware, eithe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3dfda4697ac7320065f324122c1f013a
https://hal.archives-ouvertes.fr/hal-02080720
https://hal.archives-ouvertes.fr/hal-02080720
Autor:
Enric Tejedor, Aleksandra Mnich, Valentina Avati, Enrico Bocchi, Prasanth Kothuri, Milosz Blaszkiewicz, Enrico Guiraud, Javier Cervantes, Luca Canali, Jan Kaspar, Massimo Lamanna, Leszek Grzanka, Danilo Piparo, Shravan Murali, Maciej Malawski, Jakub Moscicki, Diogo Castro
Publikováno v:
UCC Companion
The High Energy Physics community has been developing dedicated solutions for processing experiment data over decades. However, with recent advancements in Big Data and Cloud Services, a question of application of such technologies in the domain of p
Autor:
Diogo Castro, Maciej Malawski, Luca Canali, Enrico Bocchi, Jakub T. Mościcki, Hugo Gonzalez Labrador, Prasanth Kothuri, Piotr Mrowczynski
Publikováno v:
EPJ Web of Conferences, Vol 245, p 07047 (2020)
Container technologies are rapidly becoming the preferred way by developers and system administrators to package applications, distribute software and run services. A crucial role is played by container orchestration software such as Kubernetes, whic