Zobrazeno 1 - 10
of 288
pro vyhledávání: '"Basermann, A"'
Autor:
Kerkmann, David, Korf, Sascha, Nguyen, Khoa, Abele, Daniel, Schengen, Alain, Gerstein, Carlotta, Göbbert, Jens Henrik, Basermann, Achim, Kühn, Martin J., Meyer-Hermann, Michael
Agent-based models have proven to be useful tools in supporting decision-making processes in different application domains. The advent of modern computers and supercomputers has enabled these bottom-up approaches to realistically model human mobility
Externí odkaz:
http://arxiv.org/abs/2410.08050
Today's scientific simulations, for example in the high-performance exascale sector, produce huge amounts of data. Due to limited I/O bandwidth and available storage space, there is the necessity to reduce scientific data of high performance computin
Externí odkaz:
http://arxiv.org/abs/2407.17316
Autor:
Basermann, Achim, Epping, Michael, Fauseweh, Benedikt, Felderer, Michael, Lobe, Elisabeth, Röhrig-Zöllner, Melven, Schmiedinghoff, Gary, Schuhmacher, Peter K., Setyawati, Yoshinta, Weinert, Alexander
The rapid advancements in quantum computing necessitate a scientific and rigorous approach to the construction of a corresponding software ecosystem, a topic underexplored and primed for systematic investigation. This chapter takes an important step
Externí odkaz:
http://arxiv.org/abs/2405.13244
Tensor networks are a class of algorithms aimed at reducing the computational complexity of high-dimensional problems. They are used in an increasing number of applications, from quantum simulations to machine learning. Exploiting data parallelism in
Externí odkaz:
http://arxiv.org/abs/2312.08006
Recent studies have confirmed cardiovascular diseases remain responsible for highest death toll amongst non-communicable diseases. Accurate left ventricular (LV) volume estimation is critical for valid diagnosis and management of various cardiovascul
Externí odkaz:
http://arxiv.org/abs/2312.02167
We discuss some specific software engineering challenges in the field of high-performance computing, and argue that the slow adoption of SE tools and techniques is at least in part caused by the fact that these do not address the HPC challenges `out-
Externí odkaz:
http://arxiv.org/abs/2112.06617
There are several factorizations of multi-dimensional tensors into lower-dimensional components, known as `tensor networks'. We consider the popular `tensor-train' (TT) format and ask: How efficiently can we compute a low-rank approximation from a fu
Externí odkaz:
http://arxiv.org/abs/2102.00104
Autor:
Oskar Taubert, Fabrice von der Lehr, Alina Bazarova, Christian Faber, Philipp Knechtges, Marie Weiel, Charlotte Debus, Daniel Coquelin, Achim Basermann, Achim Streit, Stefan Kesselheim, Markus Götz, Alexander Schug
Publikováno v:
Communications Biology, Vol 6, Iss 1, Pp 1-8 (2023)
Abstract On the path to full understanding of the structure-function relationship or even design of RNA, structure prediction would offer an intriguing complement to experimental efforts. Any deep learning on RNA structure, however, is hampered by th
Externí odkaz:
https://doaj.org/article/d536d84aae0f4245a6e3998c83d5238a
Autor:
Götz, Markus, Coquelin, Daniel, Debus, Charlotte, Krajsek, Kai, Comito, Claudia, Knechtges, Philipp, Hagemeier, Björn, Tarnawa, Michael, Hanselmann, Simon, Siggel, Martin, Basermann, Achim, Streit, Achim
To cope with the rapid growth in available data, the efficiency of data analysis and machine learning libraries has recently received increased attention. Although great advancements have been made in traditional array-based computations, most are li
Externí odkaz:
http://arxiv.org/abs/2007.13552
Autor:
Stollenwerk, Tobias, Michaud, Vincent, Lobe, Elisabeth, Picard, Mathieu, Basermann, Achim, Botter, Thierry
We present a comparison study of state-of-the-art classical optimisation methods to a D-Wave 2000Q quantum annealer for the planning of Earth observation missions. The problem is to acquire high value images while obeying the attitude manoeuvring con
Externí odkaz:
http://arxiv.org/abs/2006.09724