| 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 | 668 | 2014 |
| 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 | 270 | 2020 |
| 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 | 129 | 2012 |
| Gluonts: Probabilistic time series models in python A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ... arXiv preprint arXiv:1906.05264, 2019 | 113 | 2019 |
| Implicit parallelism through deep language embedding A Alexandrov, A Katsifodimos, G Krastev, V Markl SIGMOD Record 45 (1), 51-58, 2016 | 92 | 2016 |
| Implicit Parallelism through Deep Language Embedding A Alexandrov, A Kunft, A Katsifodimos, L Thamsen, O Kao, T Herb, ... SIGMOD 2015, 0 | 92* | |
| 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 | 78 | 2011 |
| 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 | 73 | 2010 |
| Distributed Matrix Factorization with MapReduce using a series of Broadcast-Joins S Schelter, C Boden, M Schenck, A Alexandrov, V Markl | 63* | |
| 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 | 54 | 2013 |
| 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 | 47 | 2016 |
| Myriad: Scalable and Expressive Data Generation A Alexandrov, K Tzoumas, V Markl VLDB, 1890-1893, 2012 | 42 | 2012 |
| GluonTS: Probabilistic Time Series Modeling in Python A Alexandrov, K Benidis, M Bohlke-Schneider, V Flunkert, J Gasthaus, ... arXiv preprint arXiv:1906.05264, 2019 | 27 | 2019 |
| 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 | 18 | 2019 |
| 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 | 17 | 2018 |
| 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 | 17 | 2016 |
| 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 | 8 | 2011 |
| 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 | 4 | 2019 |
| Emma in Action: Deklarative Datenflüsse für Skalierbare Datenanalyse. A Alexandrov, G Krastev, B Louis, A Salzmann, V Markl BTW, 609, 2017 | 1 | 2017 |
| GluonTS: Probabilistic Time Series Models in Python V Flunkert, A Alexandrov, J Schulz, J Gasthaus, D Salinas, DM Robinson, ... | | 2019 |
Volker MarklTechnische Universität BerlinVerified email at tu-berlin.de