Alexander Alexandrov

Affiliations:
  • Amazon Web Services, Berlin, Germany
  • TU Berlin, DIMA, Germany


According to our database1, Alexander Alexandrov authored at least 21 papers between 2010 and 2020.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
GluonTS: Probabilistic and Neural Time Series Modeling in Python.
J. Mach. Learn. Res., 2020

2019
Scala.
Proceedings of the Encyclopedia of Big Data Technologies., 2019

Representations and optimizations for embedded parallel dataflow languages.
PhD thesis, 2019

Representations and Optimizations for Embedded Parallel Dataflow Languages.
ACM Trans. Database Syst., 2019

GluonTS: Probabilistic Time Series Models in Python.
CoRR, 2019

End-to-End Benchmarking of Deep Learning Platforms.
Proceedings of the Performance Evaluation and Benchmarking for the Era of Cloud(s), 2019

2018
Big Data Platforms for Data Analytics.
Proceedings of the Encyclopedia of Database Systems, Second Edition, 2018

2017
PEEL: A Framework for Benchmarking Distributed Systems and Algorithms.
Proceedings of the Performance Evaluation and Benchmarking for the Analytics Era, 2017

Emma in Action: Deklarative Datenflüsse für Skalierbare Datenanalyse.
Proceedings of the Datenbanksysteme für Business, 2017

2016
Implicit Parallelism through Deep Language Embedding.
SIGMOD Rec., 2016

Bridging the gap: towards optimization across linear and relational algebra.
Proceedings of the 3rd ACM SIGMOD Workshop on Algorithms and Systems for MapReduce and Beyond, 2016

Emma in Action: Declarative Dataflows for Scalable Data Analysis.
Proceedings of the 2016 International Conference on Management of Data, 2016

2015
Implicit Parallelism through Deep Language Embedding.
Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, Melbourne, Victoria, Australia, May 31, 2015

2014
The Stratosphere platform for big data analytics.
VLDB J., 2014

Composite Key Generation on a Shared-Nothing Architecture.
Proceedings of the Performance Characterization and Benchmarking. Traditional to Big Data, 2014

2013
Issues in big data testing and benchmarking.
Proceedings of the Sixth International Workshop on Testing Database Systems, 2013

Distributed matrix factorization with mapreduce using a series of broadcast-joins.
Proceedings of the Seventh ACM Conference on Recommender Systems, 2013

2012
Myriad: Scalable and Expressive Data Generation.
Proc. VLDB Endow., 2012

Benchmarking in the Cloud: What It Should, Can, and Cannot Be.
Proceedings of the Selected Topics in Performance Evaluation and Benchmarking, 2012

2011
MapReduce and PACT - Comparing Data Parallel Programming Models.
Proceedings of the Datenbanksysteme für Business, 2011

2010
Massively Parallel Data Analysis with PACTs on Nephele.
Proc. VLDB Endow., 2010


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