Welcome to my page. My name is Eva Sitaridi and I am a fifth year PhD Candidate at the Computer Science Department of Columbia University, expected to graduate in May 2016. My advisor is Professor Ken Ross and I am a member of Database Research Group. Before coming here I was a member of MaDGIK group of the University of Athens.
My current research is on exploiting graphics processors (GPUs) for database processing.
I am involved in the following related NSF funded project: Database Processing on GPUs.
The best way to reach me is via e-mail: first-name[at]cs.columbia.edu
Raphael Polig, Kubilay Atasu, Laura Chiticariu, Christoph Hagleitner, H. Peter Hofstee, Frederick R. Reiss, Huaiyu Zhu, and Evangelia A. Sitaridi, Giving Text Analytics a Boost, IEEE Micro 2014
Evangelia A. Sitaridi , Rene Mueller, Tim Kaldewey, Parallel Lossless Compression using GPUs, GTC 2014
Evangelia A. Sitaridi , Kenneth A. Ross, Optimizing Select Condition on GPUs, DaMoN Workshop 2013
Harry Dimitropoulos, Herald Kllapi, Omiros Metaxas, Nikolas Oikonomidis, Evangelia A. Sitaridi, Manolis M. Tsangaris, and Yannis E. Ioannidis, AITION: A Scalable Platform for Interactive Data Mining, SSDBM 2012
Evangelia A. Sitaridi, Kenneth A. Ross, Ameliorating Memory Contention of OLAP operators on GPU Processors, DaMoN Workshop 2012 (Best Paper Award winner)
- Kenneth A. Ross, Evangelia A. Sitaridi, Partitioned Blockmap Indexes for Multidimensional Data Access, Columbia University Technical Report, April 2012
Herald Kllapi, Evangelia A. Sitaridi, Manolis Tsangaris, and Yannis Ioannidis, Schedule Optimization for Data Processing Flows on the Cloud, SIGMOD 2011
Konstantinos Tsakalozos, Herald Kllapi, Evangelia A. Sitaridi, Mema Roussopoulos, Dimitris Paparas, and Alex Delis, Flexible use of cloud resources through profit maximization and price discrimination, ICDE 2011
Manolis M. Tsangaris, George Kakaletris, Herald Kllapi, Giorgos Papanikos, Fragkiskos Pentaris, Paul Polydoras, Evangelia A. Sitaridi, Vassilis Stoumpos, Yannis E. Ioannidis, Dataflow Processing and Optimization on Grid and Cloud Infrastructures, IEEE Data Engineering Bulletin 2009
Constantly under construction, stay tuned :-)