Florin Rusu

According to our database1, Florin Rusu authored at least 49 papers between 2006 and 2020.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
DJEnsemble: On the Selection of a Disjoint Ensemble of Deep Learning Black-Box Spatio-temporal Models.
CoRR, 2020

Heterogeneous CPU+GPU Stochastic Gradient Descent Algorithms.
CoRR, 2020

2019
Special issue on scientific and statistical data management.
Distributed Parallel Databases, 2019

In-Depth Benchmarking of Graph Database Systems with the Linked Data Benchmark Council (LDBC) Social Network Benchmark (SNB).
CoRR, 2019

Exact Selectivity Computation for Modern In-Memory Database Query Optimization.
CoRR, 2019

PrivateJobMatch: a privacy-oriented deferred multi-match recommender system for stable employment.
Proceedings of the 13th ACM Conference on Recommender Systems, 2019

Stochastic Gradient Descent on Modern Hardware: Multi-core CPU or GPU? Synchronous or Asynchronous?
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Selectivity Computation for In-Memory Query Optimization.
Proceedings of the CIDR 2019, 2019

2018
Automatic identification and classification of Palomar Transient Factory astrophysical objects in GLADE.
Int. J. Comput. Sci. Eng., 2018

Progressive Data Science: Potential and Challenges.
CoRR, 2018

Distributed Caching for Complex Querying of Raw Arrays.
CoRR, 2018

Stochastic Gradient Descent on Highly-Parallel Architectures.
CoRR, 2018

Distributed caching for processing raw arrays.
Proceedings of the 30th International Conference on Scientific and Statistical Database Management, 2018

2017
Scalable Asynchronous Gradient Descent Optimization for Out-of-Core Models.
Proc. VLDB Endow., 2017

Special issue on in-database analytics.
Distributed Parallel Databases, 2017

OLA-RAW: Scalable Exploration over Raw Data.
CoRR, 2017

Dot-Product Join: Scalable In-Database Linear Algebra for Big Model Analytics.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Bi-Level Online Aggregation on Raw Data.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

Incremental View Maintenance over Array Data.
Proceedings of the 2017 ACM International Conference on Management of Data, 2017

ArrayUDF: User-Defined Scientific Data Analysis on Arrays.
Proceedings of the 26th International Symposium on High-Performance Parallel and Distributed Computing, 2017

Scalable In-Situ Exploration over Raw Data.
Proceedings of the CIDR 2017, 2017

2016
Dot-Product Join: An Array-Relation Join Operator for Big Model Analytics.
CoRR, 2016

Similarity Join over Array Data.
Proceedings of the 2016 International Conference on Management of Data, 2016

Performance Implications of Processing-in-Memory Designs on Data-Intensive Applications.
Proceedings of the 45th International Conference on Parallel Processing Workshops, 2016

2015
Workload-Driven Antijoin Cardinality Estimation.
ACM Trans. Database Syst., 2015

SCANRAW: A Database Meta-Operator for Parallel In-Situ Processing and Loading.
ACM Trans. Database Syst., 2015

Formal representation of the SS-DB benchmark and experimental evaluation in EXTASCID.
Distributed Parallel Databases, 2015

Scalable Analytics Model Calibration with Online Aggregation.
IEEE Data Eng. Bull., 2015

Workload-Driven Vertical Partitioning for Effective Query Processing over Raw Data.
CoRR, 2015

Speculative Approximations for Terascale Analytics.
CoRR, 2015

Vertical partitioning for query processing over raw data.
Proceedings of the 27th International Conference on Scientific and Statistical Database Management, 2015

Speculative Approximations for Terascale Distributed Gradient Descent Optimization.
Proceedings of the Fourth Workshop on Data analytics in the Cloud, 2015

2014
PF-OLA: a high-performance framework for parallel online aggregation.
Distributed Parallel Databases, 2014

Parallel in-situ data processing with speculative loading.
Proceedings of the International Conference on Management of Data, 2014

Implementing the Palomar Transient Factory Real-Time Detection Pipeline in GLADE: Results and Observations.
Proceedings of the Databases in Networked Information Systems - 9th International Workshop, 2014

2013
A Survey on Array Storage, Query Languages, and Systems
CoRR, 2013

Parallel online aggregation in action.
Proceedings of the Conference on Scientific and Statistical Database Management, 2013

Astronomical data processing in EXTASCID.
Proceedings of the Conference on Scientific and Statistical Database Management, 2013

Sampling Estimators for Parallel Online Aggregation.
Proceedings of the Big Data - 29th British National Conference on Databases, 2013

2012
GLADE: a scalable framework for efficient analytics.
ACM SIGOPS Oper. Syst. Rev., 2012

PF-OLA: A High-Performance Framework for Parallel On-Line Aggregation
CoRR, 2012

GLADE: big data analytics made easy.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2012

2009
Turbo-Charging Estimate Convergence in DBO.
Proc. VLDB Endow., 2009

Sketching Sampled Data Streams.
Proceedings of the 25th International Conference on Data Engineering, 2009

2008
Sketches for size of join estimation.
ACM Trans. Database Syst., 2008

The DBO database system.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2008

2007
Pseudo-random number generation for sketch-based estimations.
ACM Trans. Database Syst., 2007

Statistical analysis of sketch estimators.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2007

2006
Fast range-summable random variables for efficient aggregate estimation.
Proceedings of the ACM SIGMOD International Conference on Management of Data, 2006


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