Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Christian Feld"'
Publikováno v:
Cham : Springer International Publishing 3-26 (2021). doi:10.1007/978-3-030-66057-4_1
Tools for High Performance Computing 2018 / 2019 / Mix, Hartmut (Editor) ; Cham : Springer International Publishing, 2021, Chapter 1 ; ISBN: 978-3-030-66056-7 ; doi:10.1007/978-3-030-66057-4
Tools for High Performance Computing 2018 / 2019 / Mix, Hartmut (Editor) ; Cham : Springer International Publishing, 2021, Chapter 1 ; ISBN: 978-3-030-66056-7 ; doi:10.1007/978-3-030-66057-412th International Parallel Tools Workshop, Stuttgart, Germany, 2018-09-17-2018-09-18
Tools for High Performance Computing 2018 / 2019 ISBN: 9783030660567
Tools for High Performance Computing 2018 / 2019 / Mix, Hartmut (Editor) ; Cham : Springer International Publishing, 2021, Chapter 1 ; ISBN: 978-3-030-66056-7 ; doi:10.1007/978-3-030-66057-4
Tools for High Performance Computing 2018 / 2019 / Mix, Hartmut (Editor) ; Cham : Springer International Publishing, 2021, Chapter 1 ; ISBN: 978-3-030-66056-7 ; doi:10.1007/978-3-030-66057-412th International Parallel Tools Workshop, Stuttgart, Germany, 2018-09-17-2018-09-18
Tools for High Performance Computing 2018 / 2019 ISBN: 9783030660567
Software reliability is one of the cornerstones of any successful user experience. Software needs to build up the users’ trust in its fitness for a specific purpose. Software failures undermine this trust and add to user frustration that will ultim
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1391ca57a7cd3fcfc96d8bf101761d9d
https://juser.fz-juelich.de/record/892906
https://juser.fz-juelich.de/record/892906
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Machine learning (ML) algorithms are extensively used in pharmaceutical research. Most ML models have black-box character, thus preventing the interpretation of predictions. However, rationalizing model decisions is of critical importance if
Externí odkaz:
https://doaj.org/article/34d1d6f81ae44fa2a62831619d0afa9e
Autor:
Daniel Lorenz, Christian Feld
Publikováno v:
ICCS
As part of performance measurements with Score-P, a description of the system and the execution locations is recorded into the performance measurement reports. For large-scale measurements using a million or more processes, the global system descript
Autor:
Marc Schlütter, Marc-André Hermanns, Bernd Mohr, Michael Knobloch, Christian Feld, Pavel Saviankou
Publikováno v:
Tools for High Performance Computing 2017 ISBN: 9783030119867
Cham : Springer International Publishing 85-104 (2019). doi:10.1007/978-3-030-11987-4_6
Tools for High Performance Computing 2017
Tools for High Performance Computing 201711th International Workshop on Parallel Tools for High Performance Computing, Dresden, Germany, 2017-09-11-2017-09-12
Cham : Springer International Publishing 85-104 (2019). doi:10.1007/978-3-030-11987-4_6
Tools for High Performance Computing 2017
Tools for High Performance Computing 201711th International Workshop on Parallel Tools for High Performance Computing, Dresden, Germany, 2017-09-11-2017-09-12
The Open image in new window Knights Landing processors offers unique features with regards to memory hierarchy and vectorization capabilities. To improve tool support within these two areas, we present extensions to the Score-P measurement infrastru
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::20bd74c53e23829523b4ae548a226359
https://doi.org/10.1007/978-3-030-11987-4_6
https://doi.org/10.1007/978-3-030-11987-4_6
Autor:
Christian Feld, Jeremy Hall, James Mechie, Christian Hübscher, Stelios Nicolaides, Cemil Gurbuz, Klaus Bauer, Keith E. Louden, Michael E Weber
Publikováno v:
Tectonophysics
In 2010, project CoCoCo (incipient COntinent-COntinent COllision) recorded a 650 km long amphibian N-S wide-angle seismic profile, extending from the Anatolian plateau across southern Turkey and Cyprus to just south of the Eratosthenes Seamount (ESM)
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7361375b218a735492b27f5a4f931f47
https://gfzpublic.gfz-potsdam.de/pubman/item/item_2068895
https://gfzpublic.gfz-potsdam.de/pubman/item/item_2068895
Publikováno v:
Tools for High Performance Computing 2014 ISBN: 9783319160115
Scalasca is a well-established open-source toolset that supports the performance optimization of parallel programs by measuring and analyzing their runtime behavior. The analysis identifies potential performance bottlenecks – in particular those co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d8345c2949b50383645227c3ce49bbfa
https://doi.org/10.1007/978-3-319-16012-2_1
https://doi.org/10.1007/978-3-319-16012-2_1
Publikováno v:
Preventive Veterinary Medicine. 60:155-165
In Denmark, a national serological surveillance-and-control programme for Salmonella in pigs has been in operation since 1995. The programme is based on the Danish mix-ELISA and uses double testing (two ELISA-wells used per sample) of meat-juice samp
Publikováno v:
Scientific Reports, Vol 11, Iss 1, Pp 1-11 (2021)
Abstract Compounds with defined multi-target activity play an increasingly important role in drug discovery. Structural features that might be signatures of such compounds have mostly remained elusive thus far. We have explored the potential of expla
Externí odkaz:
https://doaj.org/article/e417e0653e004604a6e4ace6cc0f33c4
Autor:
Andrea Mastropietro, Giuseppe Pasculli, Christian Feldmann, Raquel Rodríguez-Pérez, Jürgen Bajorath
Publikováno v:
iScience, Vol 25, Iss 10, Pp 105043- (2022)
Summary: Graph neural networks (GNNs) recursively propagate signals along the edges of an input graph, integrate node feature information with graph structure, and learn object representations. Like other deep neural network models, GNNs have notorio
Externí odkaz:
https://doaj.org/article/3098c83c567e4e45ad5d40ebc36faebd
Autor:
Christian Feldmann, Jürgen Bajorath
Publikováno v:
iScience, Vol 25, Iss 9, Pp 105023- (2022)
Summary: The support vector machine (SVM) algorithm is popular in chemistry and drug discovery. SVM models have black box character. Their predictions can be interpreted through feature weighting or the model-agnostic Shapley additive explanations (S
Externí odkaz:
https://doaj.org/article/ce79f619cf7247d69d811be1e7580243