Many important applications trigger bulk bitwise operations, ie, bitwise operations on large
bit vectors. In fact, recent works design techniques that exploit fast bulk bitwise operations to …

Predicting personalized sequential behavior is a key task for recommender systems. In order
to predict user actions such as the next product to purchase, movie to watch, or place to visit …

There are two types of high-performance graph processing engines: low-and high-level
engines. Low-level engines (Galois, PowerGraph, Snap) provide optimized data structures …

TPC-H continues to be the most widely used benchmark for relational OLAP systems. It
poses a number of challenges, also known as" choke points", which database systems have …

Many applications heavily use bitwise operations on large bitvectors as part of their
computation. In existing systems, performing such bulk bitwise operations requires the …

Bulk bitwise operations, ie, bitwise operations on large bit vectors, are prevalent in a wide
range of important application domains, including databases, graph processing, genome …

Modern servers pack enough storage and computing power that just a decade ago was
spread across a modest-sized cluster. This paper presents a prototype system, called …

Scan and lookup are two core operations in main memory column stores. A scan operation
scans a column and returns a result bit vector that indicates which records satisfy a filter …

Oracle release 12cR1 supports JSON data management that enables users to store, index
and query JSON data along with relational data. The integration of the JSON data model into …

Modern data-centric flows in the telecommunications industry require real time analytical
processing over a rapidly changing and large dataset. The traditional approach of …