Zobrazeno 1 - 2
of 2
pro vyhledávání: '"Phil Carns"'
Autor:
George Rojas, Elise Jennings, Vitali Morozov, Eric Pershey, Liza Booker, Kathy DiBennardi, Anouar Benali, Marta Garcia, Wei Jiang, Adam Scovel, Bill Allcock, Sreeranjani Ramprakash, Carissa Holohan, Yuri Alexeev, Ray Loy, Laura Wolf, Sudheer Chunduri, Nichols A. Romero, Janet Knowles, Zachary Nault, Lisa Childers, Richard Coffey, Christopher Knight, Derek Jensen, Michael E. Papka, Gabe West, Margaret Kaczmarski, Michael Zhang, Ben Lenard, Saumil Patel, Benjamin S. Allen, Venkatram Vishwanath, Beth Cerny, Timothy J. Williams, Álvaro Vázquez-Mayagoitia, Joseph A. Insley, Avanthi Mantrala, Preeti Malakar, Anping Liu, Graham D. Fletcher, Robert Scott, David E. Martin, Guillermo Mayorga, Joan Stover, Brian Toonen, Denise Nelson, Adrian Pope, Darin Wills, Ira Goldberg, Katherine Riley, Pragnesh Patel, Edouard Brooks, Renee Plzak, Cheetah Goletz, R. Douglas Waldron, James C. Osborn, Kalyan Kumaran, Silvio Rizzi, Hal Finkel, Paul Messina, Janet Jaseckas, Emily Shemon, Ramesh Balakrishnan, Jack O’Connell, Susan Gregurich, William Scullin, Mark R. Fahey, Scott Parker, Ti Leggett, Phil Carns, Ashley Boyle, Ginny Doyle, Ryan Milner, Tommie Jackson, Paul Coffman, Haritha Siddabathuni Som, Susan Coghlan, Kevin Harms, Jared Punzel, John ‘Skip’ Reddy, Andrew Cherry, Paul Rich, Tom Uram, James Collins, Mirek Suliba, Gordon McPheeters, Laural Briggs, Wanda Woods
Publikováno v:
Contemporary High Performance Computing ISBN: 9781351036863
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6defe81860f43fbd75d4dfa6efdac312
https://doi.org/10.1201/9781351036863-2
https://doi.org/10.1201/9781351036863-2
Autor:
Christopher D. Carothers, Phil Carns, Robert Ross, Stephan Eidenbenz, Meghan McClelland, Carlos Maltzahn, Ning Liu, Adam Crume, Jason Cope, Samuel Lang, John M. Bent, Curtis L. Janssen
Publikováno v:
SC Companion
Large clusters and supercomputers are simulated to aid in design. Many devices, such as hard drives, are slow to simulate. Our approach is to use a genetic algorithm to fit parameters for an analytical model of a device. Fitting focuses on aggregate