While modern parallel computing systems offer high performance, utilizing these powerful
computing resources to the highest possible extent demands advanced knowledge of …

Optimized software execution on parallel computing systems demands consideration of
many parameters at run-time. Determining the optimal set of parameters in a given …

The efficient utilization of the available resources in modern parallel computing systems
requires advanced parallel programming expertise. However, parallel programming is more …

Deep learning is an important component of Big Data analytic tools and intelligent
applications, such as self-driving cars, computer vision, speech recognition, or precision …

We report a simulation study of a smart living IoT solution for elderly people living in their
own houses. Our study was conducted in the context of BoIT project in Sweden that …

DNA typing or profiling is being widely used for criminal identification, paternity tests, and
diagnosis of genetic diseases. DNA typing is considered one of the hardest problems in the …

Heterogeneous computing systems provide high performance and energy efficiency.
However, to optimally utilize such systems, solutions that distribute the work across host …

For more than a decade, machine learning (ML) and deep learning (DL) techniques have
been a mainstay in the toolset for the analysis of large amounts of weakly correlated or high …

Auto-tuning of configuration and application parameters allows to achieve significant
performance gains in many contemporary compute-intensive applications. Feasible search …

String Matching is a technique of searching a pattern in a text. It is the basic concept to
extract the fruitful information from large volume of text, which is used in different …