Random linear network coding (RLNC) can greatly aid data transmission in lossy wireless
networks. However, RLNC requires computationally complex matrix multiplications and …

In the present scenario, high-performance computing needs more attention towards
multicore computing. While designing the CPU, we need to consider hardware for …

Nowadays, in-memory column store database systems are state-of-the-art for analytical
workloads. In these column stores, a full column scan is a fundamental key operation and …

Data management systems commonly use bitmap indices to increase the efficiency of
querying scientific data. Bitmaps are usually highly compressible and can be queried …

High-Performance computing provides a new infrastructure for scientific calculation and its
simulation. However, unbalanced load distribution among the processors causes a …

Data management systems commonly use bitmap indices to increase the efficiency of
querying scientific data. Bitmaps are usually highly compressible and can be queried …

The key objective of database systems is to efficiently manage an always increasing amount
of data. Thereby, a high query throughput and a low query latency are core requirements. To …

Data processing on a continuously growing volume of data and the increasing power
restrictions have become an ubiquitous challenge in our world today. Besides parallel …

Join is one of the most important operators in database query processing. Its research
progressively focuses on hardware-conscious implementations since single-threaded …

Numerous applications gather increasing amounts of data, which have to be managed and
queried. Different hardware developments help to meet this challenge. The growing capacity …