Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Marcus Paradies"'
Autor:
Michael Johnson, David J. Champion, Marta Dembska, Hans-Rainer Klöckner, Kristen Lackeos, Albina Muzafarova, Marcus Paradies, Sirko Schindler
The introduction for an automated provenance generation tool designed specifically for astronomical pipelines. This talk gives an overview of provenance, a description of the tool itself, and an overview of the user interface designed for it. The tal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7ba3f572e8346c4bd8e6313c4f994804
Autor:
Patrick Damme, Marius Birkenbach, Constantinos Bitsakos, Matthias Boehm, Philippe Bonnet, Florina Ciorba, Mark Dokter, Pawel Dowgiallo, Ahmed Eleliemy, Christian Faerber, Georgios Goumas, Dirk Habich, Niclas Hedam, Marlies Hofer, Wenjun Huang, Kevin Innerebner, Vasileios Karakostas, Roman Kern, Tomaž Kosar, Daniel Krems, Andreas Laber, Wolfgang Lehner, Eric Mier, Marcus Paradies, Bernhard Peischl, Gabrielle Poerwawinata, Stratos Psomadakis, Tilmann Rabl, Piotr Ratuszniak, Pedro Silva, Nikolai Skuppin, Andreas Starzacher, Benjamin Steinwender, Ilin Tolovski, Pınar Tözün, Wojciech Ulatowski, Yuanyuan Wang, Izajasz Wrosz, Aleš Zamuda, Ce Zhang, Xiao Xiang Zhu, Alexander Krause
Publikováno v:
Damme, P, Birkenbach, M, Bitsakos, C, Boehm, M, Bonnet, P, Ciorba, F, Dokter, M, Dowgiallo, P, Eleliemy, A, Faerber, C, Goumas, G, Habich, D, Hedam, N, Hofer, M, Huang, W, Innerebner, K, Karakostas, V, Kern, R, Kosar, T, Krause, A, Krems, D, Laber, A, Lehner, W, Mier, E, Paradies, M, Peischl, B, Poerwawinata, G, Psomadakis, S, Rabl, T, Ratuszniak, P, Silva, P, Skuppin, N, Starzacher, A, Steinwender, B, Tolovski, I, Tözün, P, Ulatowski, W, Wang, Y, Wrosz, I, Zamuda, A, Zhang, C & Zhu, X X 2022, DAPHNE: An Open and Extensible System Infrastructure for Integrated Data Analysis Pipelines . in Conference on Innovative Data Systems Research . Santa Cruz, California, USA . < http://cidrdb.org/cidr2022/papers/p4-damme.pdf >
Benjamin Steinwender
Benjamin Steinwender
Integrated data analysis (IDA) pipelines---that combine data management (DM) and query processing, high-performance computing (HPC), and machine learning (ML) training and scoring---become increasingly common in practice. Interestingly, systems of th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::ef97c54fb73d8eceb46f77197e7fe80d
https://pure.itu.dk/ws/files/86467917/CIDR2022.pdf
https://pure.itu.dk/ws/files/86467917/CIDR2022.pdf
Autor:
Hannes Voigt, Marcus Paradies
Publikováno v:
Datenbank-Spektrum. 17:101-112
Driven by a multitude of use cases, graph data analytics has become a hot topic in research and industry. Particularly on big graphs, performing complex analytical queries efficiently to derive new insights is a challenging task. Systems that aim at
Publikováno v:
IPDPS
An important concept for indivisible updates in parallel computing are atomic operations. For most architectures, they also provide ordering guarantees, which in practice can hurt performance. For associative and commutative updates, in this paper we
Publikováno v:
DaMoN
The abundance of available sensor and derived data from large scientific experiments, such as earth observation programs, radio astronomy sky surveys, and high-energy physics already exceeds the storage hardware globally fabricated per year. To that
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::01c2d7b65d59dc35f0f0af458c70975b
http://arxiv.org/abs/1904.04736
http://arxiv.org/abs/1904.04736
Autor:
Marcus Paradies, Hannes Voigt
Publikováno v:
Encyclopedia of Big Data Technologies ISBN: 9783319639628
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9d5530413337d21899ae0ea511d8c182
https://doi.org/10.1007/978-3-319-77525-8_211
https://doi.org/10.1007/978-3-319-77525-8_211
Publikováno v:
Datenbank-Spektrum. 17:97-99
Autor:
József Marton, Peter Boncz, Vlad Haprian, Arnau Prat-Pérez, Alex Averbuch, János Benjamin Antal, Gábor Szárnyas, Marcus Paradies, Moritz Kaufmann, Orri Erling
Publikováno v:
GRADES/NDA@SIGMOD/PODS
In this short paper, we provide an early look at the LDBC Social Network Benchmark's Business Intelligence (BI) workload which tests graph data management systems on a graph business analytics workload. Its queries involve complex aggregations and na
Publikováno v:
DATA
Publikováno v:
Encyclopedia of Big Data Technologies ISBN: 9783319639628
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a54623b6784d401744f8fcf3fc280d88
https://doi.org/10.1007/978-3-319-63962-8_82-1
https://doi.org/10.1007/978-3-319-63962-8_82-1