The emergence of novel hardware accelerators has powered the tremendous growth of
machine learning in recent years. These accelerators deliver incomparable performance …

We present a dynamic index structure for join sampling. Built for an (equi-) join Q---let IN be
the total number of tuples in the input relations of Q---the structure uses~ O (IN) space …

This paper studies how to use fast matrix multiplication to speed up query processing. As
observed, computing a two-table join and then projecting away the join attribute is …

We investigate the enumeration of top-k answers for conjunctive queries against relational
databases according to a given ranking function. The task is to design data structures and …

We investigate the enumeration of query results for an important subset of CQs with
projections, namely star and path queries. The task is to design data structures and …

The main focus of this work is on large set intersection, which is a pivotal operation in
information retrieval, graph analytics and database systems. We aim to experimentally …

Recent advances in Graphic Processing Units (GPUs) have facilitated a significant
performance boost for database operators, in particular, joins. It has been intensively studied …

Most data analytical pipelines often encounter the problem of querying inconsistent data that
violate pre-determined integrity constraints. Data cleaning is an extensively studied …

A Join-Project operation is a join operation followed by a duplicate eliminating projection
operation. It is used in a large variety of applications, including entity matching, set analytics …

The rise of big data brings extraordinary benefits and opportunities to businesses and
governments. Enterprise users can analyze their consumers' data and infer the business …