Person
Manolis Karpathiotakis
This person is no longer with EPFL
Related publications (26)
Query-driven Repair of Functional Dependency Violations
Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou
Data cleaning is a time-consuming process that depends on the data analysis that users perform. Existing solutions treat data cleaning as a separate offline process that takes place before analysis begins. Applying data cleaning before analysis assumes a p ...
IEEE COMPUTER SOC2020Cleaning Denial Constraint Violations through Relaxation
Anastasia Ailamaki, Manolis Karpathiotakis, Styliani Asimina Giannakopoulou
Data cleaning is a time-consuming process that depends on the data analysis that users perform. Existing solutions treat data cleaning as a separate offline process that takes place before analysis begins. Applying data cleaning before analysis assumes a p ...
ASSOC COMPUTING MACHINERY2020Adaptive partitioning and indexing for in situ query processing
Anastasia Ailamaki, Manolis Karpathiotakis, Ioannis Alagiannis, Manoussos Gavriil Athanassoulis, Matthaios Alexandros Olma
The constant flux of data and queries alike has been pushing the boundaries of data analysis systems. The increasing size of raw data files has made data loading an expensive operation that delays the data-to-insight time. To alleviate the loading cost, in ...
SPRINGER2020Hardware-conscious Hash-Joins on GPUs
Anastasia Ailamaki, Periklis Chrysogelos, Panagiotis Sioulas, Manolis Karpathiotakis, Raja Appuswamy
Traditionally, analytical database engines have used task parallelism provided by modern multisocket multicore CPUs for scaling query execution. Over the past few years, GPUs have started gaining traction as accelerators for processing analytical queries d ...
IEEE2019