Zobrazeno 1 - 10
of 78
pro vyhledávání: '"Pouchard, Line"'
Autor:
Kilic, Ozgur Ozan, Wang, Tianle, Turilli, Matteo, Titov, Mikhail, Merzky, Andre, Pouchard, Line, Jha, Shantenu
Workflows are critical for scientific discovery. However, the sophistication, heterogeneity, and scale of workflows make building, testing, and optimizing them increasingly challenging. Furthermore, their complexity and heterogeneity make performance
Externí odkaz:
http://arxiv.org/abs/2403.18073
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
The ability to replicate predictions by machine learning (ML) or artificial intelligence (AI) models and results in scientific workflows that incorporate such ML/AI predictions is driven by numerous factors. An uncertainty-aware metric that can quant
Externí odkaz:
http://arxiv.org/abs/2301.05763
Experimental research publications provide figure form resources including graphs, charts, and any type of images to effectively support and convey methods and results. To describe figures, authors add captions, which are often incomplete, and more d
Externí odkaz:
http://arxiv.org/abs/2208.06040
Autor:
Ha, Sungsoo, Jeong, Wonyong, Matyasfalvi, Gyorgy, Xie, Cong, Huck, Kevin, Choi, Jong Youl, Malik, Abid, Tang, Li, Van Dam, Hubertus, Pouchard, Line, Xu, Wei, Yoo, Shinjae, D'Imperio, Nicholas, Van Dam, Kerstin Kleese
Because of the limits input/output systems currently impose on high-performance computing systems, a new generation of workflows that include online data reduction and analysis is emerging. Diagnosing their performance requires sophisticated performa
Externí odkaz:
http://arxiv.org/abs/2008.13742
Autor:
Pouchard, Line, Baldwin, Sterling, Elsethagen, Todd, Gamboa, Carlos, Jha, Shantenu, Raju, Bibi, Stephan, Eric, Tang, Li, Van Dam, Kerstin Kleese
We propose an approach for improved reproducibility that includes capturing and relating provenance characteristics and performance metrics, in a hybrid queriable system, the ProvEn server. The system capabilities are illustrated on two use cases: sc
Externí odkaz:
http://arxiv.org/abs/1805.00967
Autor:
James, Doug, Wilkins-Diehr, Nancy, Stodden, Victoria, Colbry, Dirk, Rosales, Carlos, Fahey, Mark, Shi, Justin, Silva, Rafael F., Lee, Kyo, Roskies, Ralph, Loewe, Laurence, Lindsey, Susan, Kooper, Rob, Barba, Lorena, Bailey, David, Borwein, Jonathan, Corcho, Oscar, Deelman, Ewa, Dietze, Michael, Gilbert, Benjamin, Harkes, Jan, Keele, Seth, Kumar, Praveen, Lee, Jong, Linke, Erika, Marciano, Richard, Marini, Luigi, Mattman, Chris, Mattson, Dave, McHenry, Kenton, McLay, Robert, Miguez, Sheila, Minsker, Barbara, Perez-Hernandez, Maria, Ryan, Dan, Rynge, Mats, Santana-Perez, Idafen, Satyanarayanan, Mahadev, Clair, Gloriana St., Webster, Keith, Hovig, Elvind, Katz, Daniel S., Kay, Sophie, Sandve, Geir, Skinner, David, Allen, Gabrielle, Cazes, John, Cho, Kym Won, Fonseca, Jim, Hwang, Lorraine, Koesterke, Lars, Patel, Pragnesh, Pouchard, Line, Seidel, Ed, Suriarachchi, Isuru
This is the final report on reproducibility@xsede, a one-day workshop held in conjunction with XSEDE14, the annual conference of the Extreme Science and Engineering Discovery Environment (XSEDE). The workshop's discussion-oriented agenda focused on r
Externí odkaz:
http://arxiv.org/abs/1412.5557
Autor:
Bernholdt, David, Bharathi, Shishir, Brown, David, Chanchio, Kasidit, Chen, Meili, Chervenak, Ann, Cinquini, Luca, Drach, Bob, Foster, Ian, Fox, Peter, Garcia, Jose, Kesselman, Carl, Markel, Rob, Middleton, Don, Nefedova, Veronika, Pouchard, Line, Shoshani, Arie, Sim, Alex, Strand, Gary, Williams, Dean
Understanding the earth's climate system and how it might be changing is a preeminent scientific challenge. Global climate models are used to simulate past, present, and future climates, and experiments are executed continuously on an array of distri
Externí odkaz:
http://arxiv.org/abs/0712.2262
Autor:
Pouchard, Line
Open Review of the article "Reproducing the Results for NICER Observation of PSR J0030+0451" by Afle, Chaitanya ; Syracuse University, et al. for the journal Computing in Science and Engineering (CISE)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::555325fe2f0e21d6ab9244373fdd894a
Autor:
Abhinit, Ishan, Adams, Emily K., Alam, Khairul, Chase, Brian, Deelman, Ewa, Gorenstein, Lev, Hudson, Stephen, Islam, Tanzima, Larson, Jeffrey, Lentner, Geoffrey, Mandal, Anirban, Navarro, John-Luke, Nicolae, Bogdan, Pouchard, Line, Ross, Rob, Roy, Banani, Rynge, Mats, Serebrenik, Alexander, Vahi, Karan, Wild, Stefan, Xin, Yufeng, Ferreira da Silva, Rafael, Filgueira, Rosa
Publikováno v:
2022 IEEE/ACM Workshop on Workflows in Support of Large-Scale Science (WORKS).
Funding: This work is partly funded by NSF award OAC-1839900. This material is based upon work supported by the U.S. Department of Energy, Office of Science, under contract number DE-AC02-06CH11357. libEnsemble was developed as part of the Exascale C