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 …

This paper presents iDO, a compiler-directed approach to failure atomicity with nonvolatile
memory. Unlike most prior work, which instruments each store of persistent data for redo or …

Many of today's applications need massive real-time data processing. In-memory database
systems have become a good alternative for these requirements. These systems maintain …

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

This article provides an overview of recent developments in mainmemory database systems.
With growing memory sizes and memory prices dropping by a factor of 10 every 5 years …

Analytics is moving to the cloud and data is moving into data lakes. These reside on object
storage services like S3 and enable seamless data sharing and system interoperability. To …

Sorted lists of integers are commonly used in inverted indexes and database systems. They
are often compressed in memory. We can use the single‐instruction, multiple data (SIMD) …

Bitwise operations are an important component of modern day programming. Many widely-
used data structures (eg, bitmap indices in databases) rely on fast bitwise operations on …

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 …