Zobrazeno 1 - 10
of 160
pro vyhledávání: '"Schulthess, Thomas"'
Autor:
Hoefler, Torsten, Calotoiu, Alexandru, Dipankar, Anurag, Schulthess, Thomas, Lapillonne, Xavier, Fuhrer, Oliver
We discuss the computational challenges and requirements for high-resolution climate simulations using the Icosahedral Nonhydrostatic Weather and Climate Model (ICON). We define a detailed requirements model for ICON which emphasizes the need for spe
Externí odkaz:
http://arxiv.org/abs/2405.13043
Autor:
Hoefler, Torsten, Copik, Marcin, Beckman, Pete, Jones, Andrew, Foster, Ian, Parashar, Manish, Reed, Daniel, Troyer, Matthias, Schulthess, Thomas, Ernst, Dan, Dongarra, Jack
HPC and Cloud have evolved independently, specializing their innovations into performance or productivity. Acceleration as a Service (XaaS) is a recipe to empower both fields with a shared execution platform that provides transparent access to comput
Externí odkaz:
http://arxiv.org/abs/2401.04552
Autor:
Paredes, Enrique G., Groner, Linus, Ubbiali, Stefano, Vogt, Hannes, Madonna, Alberto, Mariotti, Kean, Cruz, Felipe, Benedicic, Lucas, Bianco, Mauro, VandeVondele, Joost, Schulthess, Thomas C.
All major weather and climate applications are currently developed using languages such as Fortran or C++. This is typical in the domain of high performance computing (HPC), where efficient execution is an important concern. Unfortunately, this appro
Externí odkaz:
http://arxiv.org/abs/2311.08322
Autor:
Hoefler, Torsten, Stevens, Bjorn, Prein, Andreas F., Baehr, Johanna, Schulthess, Thomas, Stocker, Thomas F., Taylor, John, Klocke, Daniel, Manninen, Pekka, Forster, Piers M., Kölling, Tobias, Gruber, Nicolas, Anzt, Hartwig, Frauen, Claudia, Ziemen, Florian, Klöwer, Milan, Kashinath, Karthik, Schär, Christoph, Fuhrer, Oliver, Lawrence, Bryan N.
Participants of the Berlin Summit on Earth Virtualization Engines (EVEs) discussed ideas and concepts to improve our ability to cope with climate change. EVEs aim to provide interactive and accessible climate simulations and data for a wide range of
Externí odkaz:
http://arxiv.org/abs/2309.09002
Autor:
Ben-Nun, Tal, Groner, Linus, Deconinck, Florian, Wicky, Tobias, Davis, Eddie, Dahm, Johann, Elbert, Oliver D., George, Rhea, McGibbon, Jeremy, Trümper, Lukas, Wu, Elynn, Fuhrer, Oliver, Schulthess, Thomas, Hoefler, Torsten
Earth system models are developed with a tight coupling to target hardware, often containing specialized code predicated on processor characteristics. This coupling stems from using imperative languages that hard-code computation schedules and layout
Externí odkaz:
http://arxiv.org/abs/2205.04148
Autor:
Gruber, Roman, Kozhevnikov, Anton, Marinković, Marina Krstić, Schulthess, Thomas C., Solcà, Raffaele
OpenQ$^\star$D code has been used by the RC$^\star$ collaboration for the generation of fully dynamical QCD+QED gauge configurations with C$^\star$ boundary conditions. In this talk, optimization of solvers provided with the openQ$^\star$D package re
Externí odkaz:
http://arxiv.org/abs/2202.07388
We report APW+${lo}$ (augmented plane wave plus local orbital) density functional theory (DFT) calculations of molecule systems using the domain specific SIRIUS multi-functional DFT package. Compared to other packages the additional APW and FLAPW tas
Externí odkaz:
http://arxiv.org/abs/2105.07363
Autor:
Talirz, Leopold, Kumbhar, Snehal, Passaro, Elsa, Yakutovich, Aliaksandr V., Granata, Valeria, Gargiulo, Fernando, Borelli, Marco, Uhrin, Martin, Huber, Sebastiaan P., Zoupanos, Spyros, Adorf, Carl S., Andersen, Casper W., Schütt, Ole, Pignedoli, Carlo A., Passerone, Daniele, VandeVondele, Joost, Schulthess, Thomas C., Smit, Berend, Pizzi, Giovanni, Marzari, Nicola
Publikováno v:
Scientific Data 7, 299 (2020)
Materials Cloud is a platform designed to enable open and seamless sharing of resources for computational science, driven by applications in materials modelling. It hosts 1) archival and dissemination services for raw and curated data, together with
Externí odkaz:
http://arxiv.org/abs/2003.12510
Publikováno v:
Phys. Rev. B 101, 195114 (2020)
The dynamical cluster approximation (DCA) is a quantum cluster extension to the single-site dynamical mean-field theory that incorporates spatially nonlocal dynamic correlations systematically and nonperturbatively. The DCA$^+$ algorithm addresses th
Externí odkaz:
http://arxiv.org/abs/2002.06866
Nowadays simulations can produce petabytes of data to be stored in parallel filesystems or large-scale databases. This data is accessed over the course of decades often by thousands of analysts and scientists. However, storing these volumes of data f
Externí odkaz:
http://arxiv.org/abs/1902.03154