The vast amount of processing power and memory bandwidth provided by modern graphics
cards make them an interesting platform for data-intensive applications. Unsurprisingly, the …

There has been a growing interest in using GPU to accelerate data analytics due to its
massive parallelism and high memory bandwidth. The main constraint of using GPU for data …

Nowadays, the performance of processors is primarily bound by a fixed energy budget, the
power wall. This forces hardware vendors to optimize processors for specific tasks, which …

GPU acceleration is a promising approach to speed up query processing of database
systems by using low cost graphic processors as coprocessors. Two major trends have …

This article gives an overview of history and recent developments in database systems on
graphics processing units (GPUs). GPU, which was originally designed as a co-processor …

Large-scale graph processing and Stream processing are two distinct computational
paradigms for big data processing. Graph processing deals with computation on graphs of …

The rising hardware heterogeneity in modern systems emphasizes new dimensions of
optimizing task execution for data processing frameworks. Specialized hardware is often …

The database performance is one of the most important quality indicators that companies
are looking for to choose their appropriate database management systems. Quantifying this …

The vast amount of processing power and memory bandwidth provided by modern graphics
cards make them an interesting platform for data-intensive applications. Unsurprisingly, the …

Resource Description Framework (RDF) has been widely used to represent information on
the web, while SPARQL is a standard query language to manipulate RDF data. Given a …