Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Luettgau, Jakob"'
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
Akademický článek
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Akademický článek
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Autor:
Luettgau, Jakob, Scorzelli, Giorgio, Tarcea, Glenn, Kirkpatrick, Christine, Pascucci, Valerio, Taufer, Michela
NSDF-Catalog: Lightweight Indexing Service for Democratizing Data Delivery 
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5939baf3ecbfb26e010b977ede476c54
Autor:
Luettgau, Jakob, Scorzelli, Giorgio, Zhou, Naweiluo, Tarcea, Glenn, Lofstead, Jay, Christine Kirkpatrick, Pascucci, Valerio, Taufer, Michela
Across domains massive amounts of scientific data are generated which are useful beyond their original purpose. Yet, discoverability of these data is often hard especially for researchers and students from other domains. As part of the NSF-funded Nat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0d78d0dd86fef81a0534077f219ced4f
Autor:
Jae-Seung Yeom, Ahn, Dong H., Lumsden, Ian, Luettgau, Jakob, Caino-Lores, Silvina, Taufer, Michela
Exploiting task parallelism is getting increasingly difficult for diverse and complex scientific workflows running on High Performance Computing (HPC) systems. We argue that the difficulty rises from a void in the spectrum of existing data-transfer m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::65ffa850e720c8ca0945aeb289fc52c4
Autor:
Lumsden, Ian, Luettgau, Jakob, Lama, Vanessa, Scully-Allison, Connor, Brink, Stephanie, Isaacs, Katherine E., Pearce, Olga, Taufer, Michela
As computational science applications benefit from larger-scale, more heterogeneous high performance computing (HPC) systems, the process of studying their performance becomes increasingly complex. The performance data analysis library Hatchet provid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::719b010b688c11baecf8eecabaf643e3
Autor:
Taufer, Michela, Scorzelli, Giorgio, Tarcea, Glenn, Luettgau, Jakob, Gyulassy, Attila, Kirkpatrick, Christine, Coakley, Kevin
Working Groups: Software development process Federated infrastructure CI Architecture User Communities Networking and cybersecurity HPC / Cloud Convergence  
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82526a2de91ced030869025f6a9431bb
Autor:
Zhou, Naweiluo, Scorzelli, Giorgio, Luettgau, Jakob, Kancharla, Rahul Reddy, Kane, Joshua, Wheeler, Robert, Croom, Brendan, Newell, Pania, Pascucci, Valerio, Taufer, Michela
In the era of big data, materials science workflows need to handle large-scale data distribution, storage, and computation. Any thereof can become a performance bottleneck.To mitigate these bottlenecks, we present a software framework for complex ana
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2487aaad964fc5775c7771edb761255a
Autor:
Olaya, Paula, Luettgau, Jakob, Llamas, Ricardo, Vargas, Rodrigo, Lofstead, Jay, Wen, Sophia, I-Hsin Chung, Seetharami Seelam, Taufer, Michela
What cutting-edge storage technology is available to deal with data? Can we leverage services deployment platforms for scientific workflows? How do we tune the storage and deployment platforms?
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1759a12ca06f7baefb5b827674f4feca