Zobrazeno 1 - 10
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pro vyhledávání: '"Herten"'
Modern GPU systems are constantly evolving to meet the needs of computing-intensive applications in scientific and machine learning domains. However, there is typically a gap between the hardware capacity and the achievable application performance. T
Externí odkaz:
http://arxiv.org/abs/2410.00801
Autor:
Ali, Mehdi, Fromm, Michael, Thellmann, Klaudia, Ebert, Jan, Weber, Alexander Arno, Rutmann, Richard, Jain, Charvi, Lübbering, Max, Steinigen, Daniel, Leveling, Johannes, Klug, Katrin, Buschhoff, Jasper Schulze, Jurkschat, Lena, Abdelwahab, Hammam, Stein, Benny Jörg, Sylla, Karl-Heinz, Denisov, Pavel, Brandizzi, Nicolo', Saleem, Qasid, Bhowmick, Anirban, Helmer, Lennard, John, Chelsea, Suarez, Pedro Ortiz, Ostendorff, Malte, Jude, Alex, Manjunath, Lalith, Weinbach, Samuel, Penke, Carolin, Filatov, Oleg, Asaadi, Shima, Barth, Fabio, Sifa, Rafet, Küch, Fabian, Herten, Andreas, Jäkel, René, Rehm, Georg, Kesselheim, Stefan, Köhler, Joachim, Flores-Herr, Nicolas
We present two multilingual LLMs designed to embrace Europe's linguistic diversity by supporting all 24 official languages of the European Union. Trained on a dataset comprising around 60% non-English data and utilizing a custom multilingual tokenize
Externí odkaz:
http://arxiv.org/abs/2410.03730
The rapid advancement of machine learning (ML) technologies has driven the development of specialized hardware accelerators designed to facilitate more efficient model training. This paper introduces the CARAML benchmark suite, which is employed to a
Externí odkaz:
http://arxiv.org/abs/2409.12994
Autor:
van Herten, Rudolf L. M., Lagogiannis, Ioannis, Wolterink, Jelmer M., Bruns, Steffen, Meulendijks, Eva R., Dey, Damini, de Groot, Joris R., Henriques, José P., Planken, R. Nils, Saitta, Simone, Išgum, Ivana
Deep learning-based medical image segmentation and surface mesh generation typically involve a sequential pipeline from image to segmentation to meshes, often requiring large training datasets while making limited use of prior geometric knowledge. Th
Externí odkaz:
http://arxiv.org/abs/2409.11837
Autor:
Herten, Andreas, Achilles, Sebastian, Alvarez, Damian, Badwaik, Jayesh, Behle, Eric, Bode, Mathis, Breuer, Thomas, Caviedes-Voullième, Daniel, Cherti, Mehdi, Dabah, Adel, Sayed, Salem El, Frings, Wolfgang, Gonzalez-Nicolas, Ana, Gregory, Eric B., Mood, Kaveh Haghighi, Hater, Thorsten, Jitsev, Jenia, John, Chelsea Maria, Meinke, Jan H., Meyer, Catrin I., Mezentsev, Pavel, Mirus, Jan-Oliver, Nassyr, Stepan, Penke, Carolin, Römmer, Manoel, Sinha, Ujjwal, Vieth, Benedikt von St., Stein, Olaf, Suarez, Estela, Willsch, Dennis, Zhukov, Ilya
Benchmarks are essential in the design of modern HPC installations, as they define key aspects of system components. Beyond synthetic workloads, it is crucial to include real applications that represent user requirements into benchmark suites, to gua
Externí odkaz:
http://arxiv.org/abs/2408.17211
Autor:
van Herten, Rudolf L. M., Hampe, Nils, Takx, Richard A. P., Franssen, Klaas Jan, Wang, Yining, Suchá, Dominika, Henriques, José P., Leiner, Tim, Planken, R. Nils, Išgum, Ivana
Coronary artery disease (CAD) remains the leading cause of death worldwide. Patients with suspected CAD undergo coronary CT angiography (CCTA) to evaluate the risk of cardiovascular events and determine the treatment. Clinical analysis of coronary ar
Externí odkaz:
http://arxiv.org/abs/2310.11297
Autor:
Herten, Andreas
In recent history, GPUs became a key driver of compute performance in HPC. With the installation of the Frontier supercomputer, they became the enablers of the Exascale era; further largest-scale installations are in progress (Aurora, El Capitan, JUP
Externí odkaz:
http://arxiv.org/abs/2309.05445
Publikováno v:
Vascular Health and Risk Management, Vol Volume 12, Pp 341-356 (2016)
Monika Herten,1 Giovanni B Torsello,1,2 Eva Schönefeld,3 Stefan Stahlhoff2 1Department of Vascular and Endovascular Surgery, University Hospital Münster, 2Department of Vascular Surgery, St Franziskus Hospital, Münster, 3Institute for Education an
Externí odkaz:
https://doaj.org/article/8b0cab0c51c84a889c86e68611c3eb6d
Autor:
Holzer, Markus, Badwaik, Jayesh, Vavrik, Radim, Staffelbach, Gabriel, Herten, Andreas, Vysocky, Ondrej, Rocchi, Ilan, Riha, Lubomir, Cuidard, Romain, Ruede, Ulrich
The primary goal of the EuroHPC JU project SCALABLE is to develop an industrial Lattice Boltzmann Method (LBM)-based computational fluid dynamics (CFD) solver capable of exploiting current and future extreme scale architectures, expanding current cap
Externí odkaz:
http://arxiv.org/abs/2305.09910