A5022102258- Distributed and Parallel Computing Systems
- Parallel Computing and Optimization Techniques
- Data Management and Algorithms
- Advanced Data Storage Technologies
- Cloud Computing and Resource Management
- Real-Time Systems Scheduling
- Scientific Computing and Data Management
- Embedded Systems Design Techniques
- Transportation Planning and Optimization
- Traffic Prediction and Management Techniques
- Transportation Systems and Logistics
- Hydrology and Watershed Management Studies
- Meteorological Phenomena and Simulations
- Graph Theory and Algorithms
- Research Data Management Practices
- Advanced Database Systems and Queries
- Traffic control and management
- Vehicle emissions and performance
- Precipitation Measurement and Analysis
- Advanced Software Engineering Methodologies
- Hydrological Forecasting Using AI
- Vehicle Routing Optimization Methods
- Interconnection Networks and Systems
- Web Data Mining and Analysis
- Big Data and Business Intelligence
VSB - Technical University of Ostrava
2014-2024
Ministerium der Finanzen des Landes Sachsen-Anhalt
2021
EduInnovation
2016
Abstract Web search is a crucial technology for the digital economy. Dominated by few gatekeepers focused on commercial success, however, web publishers have to optimize their content these gatekeepers, resulting in closed ecosystem of engines as well risk sacrificing quality. To encourage an open and offer users genuine choice among alternative engines, we propose development Open Index (OWI). We outline six core principles developing maintaining index, based data principles, legal...
This article describes statistical evaluation of the computational model for precipitation forecast and proposes a method uncertainty modelling rainfall-runoff models in Floreon + system based on this evaluation.The Monte-Carlo simulation is used estimating possible river discharge provides several confidence intervals that can support decisions operational disaster management.Experiments with other parameters their influence final are also discussed.
Designing and optimizing applications for energy-efficient High Performance Computing systems up to the Exascale era is an extremely challenging problem. This paper presents toolbox developed in ANTAREX European project autotuning adaptivity energy efficient HPC systems. In particular, modules of are described as well some preliminary results application two target use cases. 1
Incorporating speed probability distribution to the computation of route planning in car navigation systems guarantees more accurate and precise responses. In this paper, we propose a novel approach for selecting dynamically number samples used Monte Carlo simulation solve Probabilistic Time-Dependent Routing (PTDR) problem, thus improving efficiency. The proposed method is determine proactive manner simulations be done extract travel-time estimation each specific request, while respecting...
The ANTAREX project relies on a Domain Specific Language (DSL) based Aspect Oriented Programming (AOP) concepts to allow applications enforce extra functional properties such as energy-efficiency and performance optimize Quality of Service (QoS) in an adaptive way. DSL approach allows the definition energy-efficiency, performance, adaptivity strategies well their enforcement at runtime through application autotuning resource power management. In this paper, we present overview some its...
Developing and optimizing software applications for high performance energy efficiency is a very challenging task, even when considering single target machine. For instance, multicore-based computing systems requires in-depth knowledge about programming languages, application interfaces (APIs), compilers, tuning tools, computer architecture organization. Many of the tasks engineering methodologies require manual efforts use different tools not always part an integrated toolchain. This paper...
Views Icon Article contents Figures & tables Video Audio Supplementary Data Peer Review Share Twitter Facebook Reddit LinkedIn Tools Reprints and Permissions Cite Search Site Citation Radim Vavrik, Matyas Theuer, Martin Golasowski, Stepan Kuchar, Michal Podhoranyi, Vit Vondrak; Automatic calibration of rainfall-runoff models its parallelization strategies. AIP Conf. Proc. 10 March 2015; 1648 (1): 830014. https://doi.org/10.1063/1.4913040 Download citation file: Ris (Zotero) Reference Manager...
Power consumption is a critical consideration in high performance computing systems and it becoming the limiting factor to build operate Petascale Exascale systems. When studying power of existing running HPC workloads, we find that power, energy are closely related which leads possibility optimize without sacrificing (much or at all) performance. In this paper, propose system with GNU/Linux OS Real Time Resource Manager (RTRM) aware monitors healthy platform. On system, an application for...
An increasing number of High-Performance Applications demand some form time predictability, in particular scenarios where correctness depends on both performance and timing requirements, the failure to meet either them is critical. Consequently, a more predictable HPC system required, particularly for an emerging class adaptive real-time applications. Here we present our runtime approach which produces results with minimized allocation hardware resources. The paper describes advantages terms...
The large number of real-world applications have shown that the use computational method for distribution process planning produces substantial savings. Many these lead to problem generally known as Vehicle Routing Problem. are highly computationally demanding larger instances. This article aims show possibilities and benefits using hyperparameter search solving Periodic Problem exhausted oil collection by execution on supercomputing infrastructure HyperLoom platform. is an open source...