Zobrazeno 1 - 10
of 312
pro vyhledávání: '"Romano Paul"'
Autor:
Tramm John, Romano Paul, Shriwise Patrick, Lund Amanda, Doerfert Johannes, Steinbrecher Patrick, Siegel Andrew, Ridley Gavin
Publikováno v:
EPJ Web of Conferences, Vol 302, p 04010 (2024)
OpenMC is an open source Monte Carlo neutral particle transport application that has recently been ported to GPU using the OpenMP target offloading model. We examine the performance of OpenMC at scale on the Frontier, Polaris, and Aurora supercompute
Externí odkaz:
https://doaj.org/article/dabf883003254591b2944bd7b25f4ee5
Autor:
Johnson Seth R., Esseiva Julien, Biondo Elliott, Canal Philippe, Demarteau Marcel, Evans Thomas, Jun Soon Yung, Lima Guilherme, Lund Amanda, Romano Paul, Tognini Stefano C.
Publikováno v:
EPJ Web of Conferences, Vol 295, p 11005 (2024)
Celeritas [1] is a new Monte Carlo (MC) detector simulation code designed for computationally intensive applications (specifically, High Lumi- nosity Large Hadron Collider (HL-LHC) simulation) on high-performance heterogeneous architectures. In the p
Externí odkaz:
https://doaj.org/article/2cb43d289cb0464ca0cb16a0d29f35d2
We present several algorithms for evaluating point containment in constructive solid geometry (CSG) trees with unbounded primitives. Three algorithms are presented based on postfix, prefix, and infix notations of the CSG binary expression tree. We sh
Externí odkaz:
http://arxiv.org/abs/2406.13030
Autor:
Tramm, John, Romano, Paul, Shriwise, Patrick, Lund, Amanda, Doerfert, Johannes, Steinbrecher, Patrick, Siegel, Andrew, Ridley, Gavin
OpenMC is an open source Monte Carlo neutral particle transport application that has recently been ported to GPU using the OpenMP target offloading model. We examine the performance of OpenMC at scale on the Frontier, Polaris, and Aurora supercompute
Externí odkaz:
http://arxiv.org/abs/2403.12345
Publikováno v:
EPJ Web of Conferences, Vol 247, p 03021 (2021)
The random ray method is a recently developed neutron transport method that can be used to perform efficient full-core, general-purpose, high-fidelity 3D simulations of nuclear reactors. While Tramm et al. have so far documented the new random ray al
Externí odkaz:
https://doaj.org/article/c51b6c11834649b482b5188f6ec00da9
Publikováno v:
EPJ Web of Conferences, Vol 247, p 03023 (2021)
The Advanced Random Ray Code (ARRC) is a high performance computing application capable of high-fidelity simulations of full core nuclear reactor models. ARRC leverages a recently developed stochastic method for neutron transport, known as The Random
Externí odkaz:
https://doaj.org/article/686b9eec18ec45489d7836b2df22161e
Autor:
Romano Paul K., Hamilton Steven P., Rahaman Ronald O., Novak April, Merzari Elia, Harper Sterling M., Shriwise Patrick C.
Publikováno v:
EPJ Web of Conferences, Vol 247, p 06053 (2021)
While the literature has numerous examples of Monte Carlo and computational fluid dynamics (CFD) coupling, most are hard-wired codes intended primarily for research rather than as standalone, general-purpose codes. In this work, we describe an open s
Externí odkaz:
https://doaj.org/article/4f9df166072e491ca57cee9f3b129db6
Autor:
Wang, Dean, Romano, Paul K.
In this paper, we consider the coupled N/TH problem, in which the termination criterion for the neutronics iteration adopts an adaptive tolerance with respect to the fuel temperature residual at each Picard iteration. We refer to this coupling scheme
Externí odkaz:
http://arxiv.org/abs/2306.17637
Autor:
da Silva, Rafael Ferreira, Badia, Rosa M., Bala, Venkat, Bard, Debbie, Bremer, Peer-Timo, Buckley, Ian, Caino-Lores, Silvina, Chard, Kyle, Goble, Carole, Jha, Shantenu, Katz, Daniel S., Laney, Daniel, Parashar, Manish, Suter, Frederic, Tyler, Nick, Uram, Thomas, Altintas, Ilkay, Andersson, Stefan, Arndt, William, Aznar, Juan, Bader, Jonathan, Balis, Bartosz, Blanton, Chris, Braghetto, Kelly Rosa, Brodutch, Aharon, Brunk, Paul, Casanova, Henri, Lierta, Alba Cervera, Chigu, Justin, Coleman, Taina, Collier, Nick, Colonnelli, Iacopo, Coppens, Frederik, Crusoe, Michael, Cunningham, Will, Kinoshita, Bruno de Paula, Di Tommaso, Paolo, Doutriaux, Charles, Downton, Matthew, Elwasif, Wael, Enders, Bjoern, Erdmann, Chris, Fahringer, Thomas, Figueiredo, Ludmilla, Filgueira, Rosa, Foltin, Martin, Fouilloux, Anne, Gadelha, Luiz, Gallo, Andy, Saez, Artur Garcia, Garijo, Daniel, Gerlach, Roman, Grant, Ryan, Grayson, Samuel, Grubel, Patricia, Gustafsson, Johan, Hayot-Sasson, Valerie, Hernandez, Oscar, Hilbrich, Marcus, Justine, AnnMary, Laflotte, Ian, Lehmann, Fabian, Luckow, Andre, Luettgau, Jakob, Maheshwari, Ketan, Matsuda, Motohiko, Medic, Doriana, Mendygral, Pete, Michalewicz, Marek, Nonaka, Jorji, Pawlik, Maciej, Pottier, Loic, Pouchard, Line, Putz, Mathias, Radha, Santosh Kumar, Ramakrishnan, Lavanya, Ristov, Sashko, Romano, Paul, Rosendo, Daniel, Ruefenacht, Martin, Rycerz, Katarzyna, Saurabh, Nishant, Savchenko, Volodymyr, Schulz, Martin, Simpson, Christine, Sirvent, Raul, Skluzacek, Tyler, Soiland-Reyes, Stian, Souza, Renan, Sukumar, Sreenivas Rangan, Sun, Ziheng, Sussman, Alan, Thain, Douglas, Titov, Mikhail, Tovar, Benjamin, Tripathy, Aalap, Turilli, Matteo, Tuznik, Bartosz, van Dam, Hubertus, Vivas, Aurelio, Ward, Logan, Widener, Patrick, Wilkinson, Sean, Zawalska, Justyna, Zulfiqar, Mahnoor
Scientific workflows have become integral tools in broad scientific computing use cases. Science discovery is increasingly dependent on workflows to orchestrate large and complex scientific experiments that range from execution of a cloud-based data
Externí odkaz:
http://arxiv.org/abs/2304.00019
Autor:
Romano Paul, Harper Sterling
Publikováno v:
EPJ Web of Conferences, Vol 146, p 06011 (2017)
This work describes newly developed features of the OpenMC code for nuclear data processing. OpenMC, in addition to being a transport code, includes a rich, extensible Python API that enables programmatic pre- and post-processing. A new openmc.data p
Externí odkaz:
https://doaj.org/article/4670dca5209146ecb0e57d586573186a