Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Karl Rupp"'
Autor:
Richard Tran Mills, Mark Adams, Satish Balay, Jed Brown, Jacob Faibussowitsch, Matthew G. Knepley, Scott Kruger, Hannah Morgan, Todd Munson, Karl Rupp, Barry Smith, Stefano Zampini, Hong Zhang, Junchao Zhang
The Portable Extensible Toolkit for Scientific Computation (PETSc) library provides scalable solvers for nonlinear time-dependent differential and algebraic equations and for numerical optimization; it is used in dozens of scientific fields, and has
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::56fa4d97c3832af19430dba5eb2ad5c5
https://doi.org/10.5194/egusphere-gc11-solidearth-65
https://doi.org/10.5194/egusphere-gc11-solidearth-65
Autor:
Satish Balay, Shrirang Abhyankar, M. Adams, Jed Brown, Peter Brune, Kris Buschelman, Lisandro Dalcin, Alp Dener, Victor Eijkhout, William Gropp, D. Karpeyev, Dinesh Kaushik, Matthew Knepley, D. May, L. McInnes, Richard Mills, Todd Munson, Karl Rupp, Patrick Sanan, Barry Smith, Stefano Zampini, H. Zhang
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a672fc78ed989344ee5641581f67fccc
https://doi.org/10.2172/1814627
https://doi.org/10.2172/1814627
Autor:
Hannah Morgan, Karl Rupp, Junchao Zhang, Hong Zhang, Todd Munson, Jed Brown, Matthew G. Knepley, Mark F. Adams, Richard T. Mills, Stefano Zampini, Satish Balay, Alp Dener, Scott Kruger, Barry Smith
Publikováno v:
Parallel Computing. 108:102831
The Portable Extensible Toolkit for Scientific computation (PETSc) library delivers scalable solvers for nonlinear time-dependent differential and algebraic equations and for numerical optimization. The PETSc design for performance portability addres
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::92aa5f11504e78de04abfec93b70f561
https://doi.org/10.1016/j.parco.2021.102831
https://doi.org/10.1016/j.parco.2021.102831
Publikováno v:
ICCSA (7)
Numerical simulation is an important tool used in various fields of computational science and engineering. The models to be solved by simulation are predominantly based on equations which require the discretization of a spatial domain. The accuracy o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88ce693fb4601fb63796df193854ff16
https://doi.org/10.1109/iccsa.2019.00016
https://doi.org/10.1109/iccsa.2019.00016
Autor:
Ansgar Jüngel, Philippe Tillet, Siegfried Selberherr, Karl Rupp, Tibor Grasser, Florian Rudolf, Josef Weinbub, Andreas Morhammer
Publikováno v:
SIAM Journal on Scientific Computing. 38:S412-S439
CUDA, OpenCL, and OpenMP are popular programming models for the multicore architectures of CPUs and many-core architectures of GPUs or Xeon Phis. At the same time, computational scientists face the question of which programming model to use to obtain
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a2b34928676d3f30605f4d5a6c8ad4c1
https://doi.org/10.1137/15m1026419
https://doi.org/10.1137/15m1026419
Autor:
Karl Rupp, Lois Curfman McInnes, Xiaoye Li, Michael A. Heroux, Barry Smith, Richard T. Mills, Sivasankaran Rajamanickam, Hartwig Anzt, Ichitaro Yamazaki, Erik G. Boman, Robert D. Falgout, Ulrike Meier Yang, Pieter Ghysels
Publikováno v:
Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, vol 378, iss 2166
Philos Trans A Math Phys Eng Sci
Philos Trans A Math Phys Eng Sci
Sparse solvers provide essential functionality for a wide variety of scientific applications. Highly parallel sparse solvers are essential for continuing advances in high-fidelity, multi-physics and multi-scale simulations, especially as we target ex
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::83a5e610095b1249dfe3a067d2bfde0a
https://doi.org/10.1098/rsta.2019.0053
https://doi.org/10.1098/rsta.2019.0053
Publikováno v:
ICPP
Emerging many-core CPU architectures with high degrees of single-instruction, multiple data (SIMD) parallelism promise to enable increasingly ambitious simulations based on partial differential equations (PDEs) via extreme-scale computing. However, s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7cc5617722b42211c1cd292f7aea3ce5
https://doi.org/10.1145/3225058.3225100
https://doi.org/10.1145/3225058.3225100
Autor:
Hans Reisinger, B. Kaczer, Barry O'Sullivan, Michael Waltl, Gerhard Rzepa, Karl Rupp, Bernhard Stampfer, Katja Puschkarsky, Tibor Grasser, Franz Schanovsky, Gregor Pobegen
Publikováno v:
IRPS
The last decade of BTI research has seen a frantic search for ultra-fast measurement methods to correctly understand the impact of fast as-grown traps which impact the initial phase (1 ks) of the degradation and recovery. These methods focus mostly o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e62ea6ef14e6d1b9cd66b5f67ead8ce7
https://doi.org/10.1109/irps.2018.8353540
https://doi.org/10.1109/irps.2018.8353540
Publikováno v:
Applied Mathematics and Computation. 267:195-206
Quality and size of mesh elements are important for optimizing the accuracy and convergence of mesh-based simulation processes. Often, a priori information, like internal material properties, of regions of interest is available, which can be used to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8617a9767b98b7d73e37cdde3b4a65c5
https://doi.org/10.1016/j.amc.2015.04.027
https://doi.org/10.1016/j.amc.2015.04.027
Publikováno v:
Applied Mathematics and Computation. 267:282-293
The design and implementation aspects of the dedicated C++ materials library ViennaMaterials for science and engineering is discussed. The library's focus is to provide flexible application programming interfaces for accessing material data. Special
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::90012bf2cd58687002434d65d7f408d4
https://doi.org/10.1016/j.amc.2015.03.094
https://doi.org/10.1016/j.amc.2015.03.094