Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Cazes, John"'
Autor:
Zhang, Zhao, Huang, Lei, Manor, Uri, Fang, Linjing, Merlo, Gabriele, Michoski, Craig, Cazes, John, Gaffney, Niall
Emerging Deep Learning (DL) applications introduce heavy I/O workloads on computer clusters. The inherent long lasting, repeated, and random file access pattern can easily saturate the metadata and data service and negatively impact other users. In t
Externí odkaz:
http://arxiv.org/abs/1809.10799
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:
Cohl, Howard S., Rau, A. R. P., Tohline, Joel E., Browne, Dana A., Cazes, John E., Barnes, Eric I.
Few-body problems involving Coulomb or gravitational interactions between pairs of particles, whether in classical or quantum physics, are generally handled through a standard multipole expansion of the two-body potentials. We discuss an alternative
Externí odkaz:
http://arxiv.org/abs/physics/0101086
Akademický článek
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Autor:
Lenards, Andrew, Hanlon, Matthew, Dooley, Rion, Lu, Zhenyuan, Kubach, Adam, Goff, Stephen A., Gessler, Damian, Micklos, David, Stapleton, Ann E., Pasternak, Shiran, Vaughn, Matthew, McKay, Sheldon, Koesterke, Lars, Wang, Liya, Cazes, John, Narro, Martha, Noutsos, Christos, Hilgert, Uwe, Muir, Andy, Matasci, Naim, Mock, Stephen, Lyons, Eric, Jordan, Chris, Piel, William H., McLay, Robert, Merchant, Nirav, Hopkins, Nicole, Lowry, Sonya, Helmke, Matthew, Gonzales, Michael, Grene, Ruth, Skidmore, Edwin
The iPlant Collaborative (iPlant) is a United States National Science Foundation (NSF) funded project that aims to create an innovative, comprehensive, and foundational cyberinfrastructure in support of plant biology research (PSCIC, 2006). iPlant is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cfcac9958bc93e9fa07185e4d9e41886
Autor:
Rosales, Carlos, Cazes, John, Milfeld, Kent, Gómez-Iglesias, Antonio, Koesterke, Lars, Huang, Lei, Vienne, Jerome
Publikováno v:
High Performance Computing (9783319460789); 2016, p307-318, 12p
Autor:
Wilkins-Diehr, Nancy, Sanielevici, Sergiu, Alameda, Jay, Cazes, John, Crosby, Lonnie, Pierce, Marlon, Roskies, Ralph
Publikováno v:
High Performance Computer Applications; 2016, p3-13, 11p
Publikováno v:
SC14: International Conference for High Performance Computing, Networking, Storage & Analysis; 2014, p229-236, 8p
Akademický článek
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Autor:
Sutton, Shawn Scott, Gomez-Fein, Eleanor, Papadopoulos, John, Olyaei, Ali, Cazes, John, Hennenfent, Joel, Ambegaonkar, Ambarish J., Lubowski, Teresa J.
Publikováno v:
Hospital Pharmacy; March 2003, Vol. 38 Issue: 3 p232-240, 9p