Követés
Alexander Alexandrov
Alexander Alexandrov
Research Assistant, TU Berlin
E-mail megerősítve itt: tu-berlin.de
Cím
Hivatkozott rá
Hivatkozott rá
Év
The Stratosphere platform for big data analytics
A Alexandrov, R Bergmann, S Ewen, JC Freytag, F Hueske, A Heise, ...
The VLDB Journal—The International Journal on Very Large Data Bases 23 (6 …, 2014
6622014
GluonTS: Probabilistic and Neural Time Series Modeling in Python.
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
J. Mach. Learn. Res. 21 (116), 1-6, 2020
2722020
Benchmarking in the Cloud: What It Should, Can, and Cannot Be
E Folkerts, A Alexandrov, K Sachs, A Iosup, V Markl, C Tosun
TPCTC, 173-188, 2012
1312012
Gluonts: Probabilistic time series models in python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
arXiv preprint arXiv:1906.05264, 2019
1152019
Implicit parallelism through deep language embedding
A Alexandrov, A Katsifodimos, G Krastev, V Markl
SIGMOD Record 45 (1), 51-58, 2016
902016
Implicit Parallelism through Deep Language Embedding
A Alexandrov, A Kunft, A Katsifodimos, L Thamsen, O Kao, T Herb, ...
SIGMOD 2015, 0
90*
MapReduce and PACT-comparing data parallel programming models
A Alexandrov, S Ewen, M Heimel, F Hueske, O Kao, V Markl, E Nijkamp, ...
BTW, 25-44, 2011
782011
Massively parallel data analysis with PACTs on nephele
A Alexandrov, M Heimel, V Markl, D Battré, F Hueske, E Nijkamp, S Ewen, ...
Proceedings of the VLDB Endowment 3 (1-2), 1625-1628, 2010
712010
Distributed Matrix Factorization with MapReduce using a series of Broadcast-Joins
S Schelter, C Boden, M Schenck, A Alexandrov, V Markl
65*
Issues in big data testing and benchmarking
A Alexandrov, C Brücke, V Markl
Proceedings of the Sixth International Workshop on Testing Database Systems, 1-5, 2013
522013
Bridging the gap: towards optimization across linear and relational algebra
A Kunft, A Alexandrov, A Katsifodimos, V Markl
Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for …, 2016
472016
Myriad: Scalable and Expressive Data Generation
A Alexandrov, K Tzoumas, V Markl
VLDB, 1890-1893, 2012
432012
GluonTS: Probabilistic Time Series Modeling in Python
A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ...
arXiv preprint arXiv:1906.05264, 2019
262019
Representations and optimizations for embedded parallel dataflow languages
A Alexandrov, G Krastev, V Markl
ACM Transactions on Database Systems (TODS) 44 (1), 1-44, 2019
182019
PEEL: A framework for benchmarking distributed systems and algorithms
C Boden, A Alexandrov, A Kunft, T Rabl, V Markl
Performance Evaluation and Benchmarking for the Analytics Era: 9th TPC …, 2018
172018
Emma in action: Declarative dataflows for scalable data analysis
A Alexandrov, A Salzmann, G Krastev, A Katsifodimos, V Markl
Proceedings of the 2016 International Conference on Management of Data, 2073 …, 2016
162016
Myriad: parallel data generation on shared-nothing architectures
A Alexandrov, B Schiefer, J Poelman, S Ewen, TO Bodner, V Markl
Proceedings of the 1st Workshop on Architectures and Systems for Big Data, 30-33, 2011
82011
End-to-End Benchmarking of Deep Learning Platforms
V Deuschle, A Alexandrov, T Januschowski, V Markl
Technology Conference on Performance Evaluation and Benchmarking, 116-132, 2019
42019
Emma in Action: Deklarative Datenflüsse für Skalierbare Datenanalyse.
A Alexandrov, G Krastev, B Louis, A Salzmann, V Markl
BTW, 609, 2017
12017
GluonTS: Probabilistic Time Series Models in Python
V Flunkert, A Alexandrov, J Schulz, J Gasthaus, D Salinas, DM Robinson, ...
2019
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Cikkek 1–20