About the Event
We present a recent algorithm (PODS 2012) that is the first provably optimal (worst-case) algorithm to compute database joins.
As a special case, we show that this join algorithm implies (i) The first algorithmic versions of some well-known geometric inequalities due to Loomis and Whitney (and their generalizations by Bollobas and Thomason); (ii) Algorithmically list recoverable codes that work with parameters that no known algorithmic list recovery result work with (e.g. those based on the Reed-Solomon codes) and an application of this result in designing sublinear time decodable compressed sensing schemes; (iii) Worst-case optimal algorithm to list all occurrences of any fixed hypergraph H in a given large hypergraph G.
We believe that this algorithm should find many more applications. (If time permits, I'll also mention some followup work on instance optimal join algorithms.)
This talk will focus on (i) and (ii) and is based on joint works with Gilbert, Ngo, Nguyen, Porat, Re and Strauss.
Atri Rudra is an Assistant Professor of Computer Science and Engineering at University at Buffalo, State University of New York, Buffalo. Atri received his Bachelor's degree from Indian Institute of Technology, Kharagpur, India in 2000 and his Ph.D. from University of Washington in 2007. From 2000-2002, he was a Research Staff Member at IBM India Research Lab, New Delhi, India.
His research interests lie in theoretical computer science and in particular, theory of error-correcting codes, data stream and sub-linear algorithms, database algorithms, computational complexity, finite field theory and applications. He is a recipient of an NSF CAREER award (2009), HP Labs Innovation Research Award (2010), ESA best paper award (2010), UB Exceptional Scholars - Young Investigator award (2011) and PODS best paper award (2012).