Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ehrig, Simeon"'
Autor:
Weber, Dieter, Ehrig, Simeon, Schropp, Andreas, Clausen, Alexander, Achilles, Silvio, Hoffmann, Nico, Bussmann, Michael, Dunin-Borkowski, Rafal, Schroer, Christian G.
We demonstrate live-updating ptychographic reconstruction with ePIE, an iterative ptychography method, during ongoing data acquisition. The reconstruction starts with a small subset of the total data, and as the acquisition proceeds the data used for
Externí odkaz:
http://arxiv.org/abs/2308.10674
Akademický článek
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Autor:
Ehrig, Simeon, Huebl, Axel
Jupyter Notebooks are omnipresent in the modern scientist's and engineer's toolbox just as CUDA C++ is in accelerated computing. We present the first implementation of a CUDA C++ enabled read-eval-print-loop (REPL) that allows to interactively "scrip
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::55af7a233bd65fc19c385e99ad7a0542
Autor:
Huebl, Axel, Widera, René, Garten, Marco, Pausch, Richard, Steiniger, Klaus, Bastrakov, Sergei, Meyer, Felix, Bastrakova, Ksenia, Debus, Alexander, Kluge, Thomas, Ehrig, Simeon, Werner, Matthias, Worpitz, Benjamin, Matthes, Alexander, Rudat, Sophie, Starke, Sebastian, Bussmann, Michael
Publikováno v:
Publication date: 2019-06-13 Open accessDOI: 10.14278/rodare.130Versions: 10.14278/rodare.131License: CC-BY-4.0
PIConGPU is an open source, multi-platform particle-in-cell code scaling to the fastest supercomputers in the TOP500 list. We present the architecture, novel developments, and workflows that enable high-precision, fast turn-around computations on Exa
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f2d8a405ca393eec56f58e32d1458de
We present the results of a diploma thesis adding CUDA (runtime) C++ support to cling. Today's HPC systems are heterogeneous and get most of their computing power from so-called accelerator hardware, such as GPUs. Programming GPUs with modern C++ is
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a30a51bc1685ede0398b6930fe70f63a
We are less than three years apart from the first, double precision Exa-Flop/s supercomputers. Already today, our scientific software stacks are facing the challenge to run efficiently on a potpourri of architectures. But the real troubles might awai
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c3ff2a9eb0298a2824aacd2d1942a877
Autor:
Ehrig, Simeon
In the scope of this diploma thesis the Cling JIT compiler, which was developed by a team of the CERN, was extended by the function to compile CUDA C++ code. The Cling-CUDA allows for new concepts in developing and executing GPU applications within t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::28ed1622aebf3ed482f544cae1f40de2
Autor:
Huebl, Axel, Widera, René, Garten, Marco, Pausch, Richard, Steiniger, Klaus, Bastrakov, Sergei, Meyer, Felix, Bastrakova, Ksenia, Debus, Alexander, Ehrig, Simeon, Werner, Matthias, Worpitz, Benjamin, Matthes, Alexander, Rudat, Sophie, Starke, Sebastian, Kluge, Thomas, Cowan, Thomas E., Schramm, Ulrich, Bussmann, Michael
Invited presentation given by Axel Huebl (HZDR, Germany) at the EPS 2019 conference in Milano (Italy) on July 11th, 2019.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::610100b974ef3af006c4f433d2c92c83