As both CPUs and GPUs become employed in a wide range of applications, it has been
acknowledged that both of these Processing Units (PUs) have their unique features and …

Due to their high computational power and internal memory bandwidth, graphic processing
units (GPUs) have been extensively studied by the database systems research community …

A heterogeneous cloud system, for example, a Hadoop 2.6. 0 platform, provides distributed
but cohesive services with rich features on large‐scale management, reliability, and error …

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 …

Technology limitations are making the use of heterogeneous computing devices much more
than an academic curiosity. In fact, the use of such devices is widely acknowledged to be the …

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 …

In this paper, we investigate Co-location Pattern Mining (CPM) from big spatial datasets.
CPM consists in searching for types of objects that are frequently located together in a …

In the presence of exponential growth of the data produced every day in volume, velocity,
and variety, online analytical processing (OLAP) is becoming increasingly challenging …