Conformal Prediction Based Confidence for Latency Estimation of DNN Accelerators: A Black-Box Approach

Autor: Matthias Wess, Daniel Schnoll, Dominik Dallinger, Matthias Bittner, Axel Jantsch

Publikováno v: IEEE Access, Vol 12, Pp 109847-109860 (2024)

Today, there exists a large number of different embedded hardware platforms for accelerating the inference of Deep Neural Networks (DNNs). To enable rapid application development, a number of prediction frameworks have been proposed to estimate the D

Externí odkaz: https://doaj.org/article/932c1e0df8954c7c99e4b0f2d7845356

Developments in the MPI‐M Earth System Model version 1.2 (MPI‐ESM1.2) and Its Response to Increasing CO2

Autor: Thorsten Mauritsen, Jürgen Bader, Tobias Becker, Jörg Behrens, Matthias Bittner, Renate Brokopf, Victor Brovkin, Martin Claussen, Traute Crueger, Monika Esch, Irina Fast, Stephanie Fiedler, Dagmar Fläschner, Veronika Gayler, Marco Giorgetta, Daniel S. Goll, Helmuth Haak, Stefan Hagemann, Christopher Hedemann, Cathy Hohenegger, Tatiana Ilyina, Thomas Jahns, Diego Jimenéz‐de‐la‐Cuesta, Johann Jungclaus, Thomas Kleinen, Silvia Kloster, Daniela Kracher, Stefan Kinne, Deike Kleberg, Gitta Lasslop, Luis Kornblueh, Jochem Marotzke, Daniela Matei, Katharina Meraner, Uwe Mikolajewicz, Kameswarrao Modali, Benjamin Möbis, Wolfgang A. Müller, Julia E. M. S. Nabel, Christine C. W. Nam, Dirk Notz, Sarah‐Sylvia Nyawira, Hanna Paulsen, Karsten Peters, Robert Pincus, Holger Pohlmann, Julia Pongratz, Max Popp, Thomas Jürgen Raddatz, Sebastian Rast, Rene Redler, Christian H. Reick, Tim Rohrschneider, Vera Schemann, Hauke Schmidt, Reiner Schnur, Uwe Schulzweida, Katharina D. Six, Lukas Stein, Irene Stemmler, Bjorn Stevens, Jin‐Song vonStorch, Fangxing Tian, Aiko Voigt, Philipp Vrese, Karl‐Hermann Wieners, Stiig Wilkenskjeld, Alexander Winkler, Erich Roeckner

Publikováno v: Journal of Advances in Modeling Earth Systems, Vol 11, Iss 4, Pp 998-1038 (2019)

Abstract A new release of the Max Planck Institute for Meteorology Earth System Model version 1.2 (MPI‐ESM1.2) is presented. The development focused on correcting errors in and improving the physical processes representation, as well as improving t

Externí odkaz: https://doaj.org/article/0933f7e3611440809988d07078c822a0

Amplitude Modulated Tunable Diode Laser Absorption Spectroscopy (AM-TDLAS): Implementation for Pressure Sensing in Air

Autor: Raoul-Amadeus Lorbeer, Matthias Bittner, Matthias Damm, Francesco Di Capua, Cristina Beneitez Ortega, Oliver Kliebisch, Peter Mahnke

Publikováno v: Optica Advanced Photonics Congress 2022.

We want to apply O2 tunable diode laser absorption spectroscopy (TDLAS) to the harsh environment around an aircraft as an optical air-data sensor. To optimize stability, we evaluate amplitude modulated TDLAS against the original method.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::67b524596823f705d7fb36f56aa0ba6f
https://doi.org/10.1364/lsc.2022.lsth3c.2

Re-enacting rare multi-modal real world grid events to generate ML training data sets

Autor: Daniel Hauerab, Florian Kintzler, Stephan Cejka, Thomas Leopold, Ralf Mosshammer, Stefan Wilker, Matthias Bittner

Publikováno v: 30th IEEE International Symposium on Industrial Electronics (ISIE)
2021 IEEE 30th International Symposium on Industrial Electronics (ISIE)
ISIE

Today's energy grids are facing huge challenges caused by the growing diversity of energy consumers and producers as well as an ongoing increase of renewable energy sources and e-mobility. Hence, it is essential that the grids continuously evolve by

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2fd23b48905634fbf3e8dd0ac450d361

Realistic quasi-biennial oscillation variability in historical and decadal hindcast simulations using CMIP6 forcing

Autor: Kameswarrao Modali, Wolfgang A. Müller, Jochem Marotzke, Holger Pohlmann, Sebastian Hettrich, Matthias Bittner, Klaus Pankatz

Publikováno v: Geophysical Research Letters

We analyze the quasi‐biennial oscillation (QBO) variability of historical and decadal hindcast simulations of the MiKlip (Mittelfristige Klimavorhersagen) decadal prediction system using the higher resolved version of the Max Planck Institute Earth

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0028a46e2f47a667bdd1ac662f9b5462
https://hdl.handle.net/21.11116/0000-0005-5A7C-C21.11116/0000-0005-6C01-1