This work describes the system and methods of data analysis we use for beehive
monitoring. We present overview of the hardware infrastructures used in hive monitoring …

In this paper we present a new environment called MERPSYS that allows simulation of
parallel application execution time on cluster-based systems. The environment offers a …

The paper presents design, implementation and tuning of a hybrid parallel OpenMP+ CUDA
code for computation of similarity between pairs of a large number of multidimensional …

The spatial distribution of crop yield has been assessed under current and future climate
conditions using gridded crop growth simulations. This task usually requires considerable …

The paper deals with parallelization of computing similarity measures between large
vectors. Such computations are important components within many applications and …

In the paper, we perform detailed performance analysis of three parallel MPI applications
run in a parallel environment based on commodity hardware, using Docker and bare-metal …

The paper presents modeling and simulation of energy consumption of two types of parallel
applications: geometric Single Program Multiple Data (SPMD) and divide-and-conquer …

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

In the paper we tackle bi-objective execution time and power consumption optimization
problem concerning execution of parallel applications. We propose using a discrete-event …

Considering ongoing developments of both modern CPUs, especially in the context of
increasing numbers of cores, cache memory and architectures as well as compilers there is …