Zobrazeno 1 - 10
of 141
pro vyhledávání: '"Diehl, Patrick"'
This study evaluates the capabilities of ChatGPT versions 3.5 and 4 in generating code across a diverse range of programming languages. Our objective is to assess the effectiveness of these AI models for generating scientific programs. To this end, w
Externí odkaz:
http://arxiv.org/abs/2405.13101
Autor:
Diehl, Patrick, Syskakis, Panagiotis, Daiß, Gregor, Brandt, Steven R., Kheirkhahan, Alireza, Singanaboina, Srinivas Yadav, Marcello, Dominic, Taylor, Chris, Leidel, John, Kaiser, Hartmut
In recent years, interest in RISC-V computing architectures has moved from academic to mainstream, especially in the field of High Performance Computing where energy limitations are increasingly a concern. As of this year, the first single board RISC
Externí odkaz:
http://arxiv.org/abs/2407.00026
Local-nonlocal coupling approaches combine the computational efficiency of local models and the accuracy of nonlocal models. However, the coupling process is challenging, requiring expertise to identify the interface between local and nonlocal region
Externí odkaz:
http://arxiv.org/abs/2404.15388
Autor:
Shiber, Sagiv, De Marco, Orsola, Motl, Patrick M., Munson, Bradley, Marcello, Dominic C., Frank, Juhan, Diehl, Patrick, Clayton, Geoffrey C., Skinner, Bennett N., Kaiser, Hartmut, Daiss, Gregor, Pfluger, Dirk, Staff, Jan E.
We study the properties of double white dwarf (DWD) mergers by performing hydrodynamic simulations using the new and improved adaptive mesh refinement code Octo-Tiger. We follow the orbital evolution of DWD systems of mass ratio q=0.7 for tens of orb
Externí odkaz:
http://arxiv.org/abs/2404.06864
This work considers the nodal finite element approximation of peridynamics, in which the nodal displacements satisfy the peridynamics equation at each mesh node. For the nonlinear bond-based peridynamics model, it is shown that, under the suitable as
Externí odkaz:
http://arxiv.org/abs/2403.05501
Cloud computing for high performance computing resources is an emerging topic. This service is of interest to researchers who care about reproducible computing, for software packages with complex installations, and for companies or researchers who ne
Externí odkaz:
http://arxiv.org/abs/2405.00016
Parallel algorithms relying on synchronous parallelization libraries often experience adverse performance due to global synchronization barriers. Asynchronous many-task runtimes offer task futurization capabilities that minimize or remove the need fo
Externí odkaz:
http://arxiv.org/abs/2405.00015
Partition of unity methods (PUM) are of domain decomposition type and provide the opportunity for multiscale and multiphysics numerical modeling. Within the PUM global-local enrichment scheme [1, 2] different physical models can exist to capture mult
Externí odkaz:
http://arxiv.org/abs/2405.00011
Publikováno v:
Proceedings of OpenSuCo 2017, Denver, Colorado USA, November 2017 (OpenSuCo 17)
To achieve scalability with today's heterogeneous HPC resources, we need a dramatic shift in our thinking; MPI+X is not enough. Asynchronous Many Task (AMT) runtime systems break down the global barriers imposed by the Bulk Synchronous Programming mo
Externí odkaz:
http://arxiv.org/abs/2401.03353