Wyniki wyszukiwania dla: PARALLEL DATA PROCESSING

• Investigation of Parallel Data Processing Using Hybrid High Performance CPU + GPU Systems and CUDA Streams

  Publikacja

  • P. Czarnul

  - COMPUTING AND INFORMATICS - Rok 2020

  The paper investigates parallel data processing in a hybrid CPU+GPU(s) system using multiple CUDA streams for overlapping communication and computations. This is crucial for efficient processing of data, in particular incoming data stream processing that would naturally be forwarded using multiple CUDA streams to GPUs. Performance is evaluated for various compute time to host-device communication time ratios, numbers of CUDA streams,...

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• A Workflow Application for Parallel Processing of Big Data from an Internet Portal

  Publikacja

  • P. Czarnul

  - Rok 2014

  The paper presents a workflow application for efficient parallel processing of data downloaded from an Internet portal. The workflow partitions input files into subdirectories which are further split for parallel processing by services installed on distinct computer nodes. This way, analysis of the first ready subdirectories can start fast and is handled by services implemented as parallel multithreaded applications using multiple...

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• Parallel processing of multimedia streams

  Publikacja

  • H. Krawczyk
  • K. Bańczyk
  • J. Proficz

  - Computer Applications in Electrical Engineering - Rok 2010

  Rozdział przedstawia platformę KASKADA służącą do przetwarzania strumieni multimedialnych. Został opisany jej projekt: diagramy UML klas i sekwencji obrazujące mechanizmy przetwarzania strumieni, oraz szczegóły komunikacji. Zaprezentowano, również, specjalistyczny framework wspomagający tworzenie i wykonywanie algorytmów, jak również definiowanie scenariuszy usług, wraz z oceną ich użyteczności.

• Parallel processing of multimedia streams

  Publikacja

  • H. Krawczyk
  • J. Proficz
  • K. Bańczyk

  - Rok 2010

  W artykule zaprezentowana jest nowa biblioteka wspierającą tworzenie zadań obliczeniowych, część platformy KASKADA.Przedstawiony został projekt biblioteki, uwzględniający diagram głównych klas oraz diagram sekwencji. Drugi z diagramów ukazuje współpracę głównych klas w procesie przetwarzania strumieni multimedialnych. W dalszej częsci omówione zostały szczegły mechanizmu komunikacji międzyzadawniowej oraz przedstawiony został graf...

• Optimization of Data Assignment for Parallel Processing in a Hybrid Heterogeneous Environment Using Integer Linear Programming

  Publikacja

  • T. M. Boiński
  • P. Czarnul

  - COMPUTER JOURNAL - Rok 2021

  In the paper we investigate a practical approach to application of integer linear programming for optimization of data assignment to compute units in a multi-level heterogeneous environment with various compute devices, including CPUs, GPUs and Intel Xeon Phis. The model considers an application that processes a large number of data chunks in parallel on various compute units and takes into account computations, communication including...

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• Coordination in serial-parallel image processing

  Publikacja

  • W. Wójcik
  • V. Dubovoi
  • M. Duda
  • R. Romaniuk
  • L. Yesmakhanova
  • A. Kozbakova
  • R. S. Romaniuk

  - Rok 2015

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• Efficient parallel query processing by graph ranking

  Publikacja

  • D. Dereniowski
  • M. Kubale

  - FUNDAMENTA INFORMATICAE - Rok 2006

  W artykule analizujemy przybliżony algorytm dla problemu szukania drzewa spinającego o minimalnym uporządkowanym indeksie chromatycznym, co znajduje zastosowanie w równoległym przetwarzaniu zapytań w relacyjnych bazach danych. Podajemy nowe oszacowanie uporządkowanego indeksu chromatycznego drzewa, które prowadzi do uzyskania lepszej funkcji dobroci wspomnianego algorytmu.

• Parallel query processing and edge ranking of graphs

  Publikacja

  • D. Dereniowski
  • M. Kubale

  - Rok 2006

  Artykuł poświęcony jest problemowi szukania drzewa spinającego o minimalnym uporządkowanym indeksie chromatycznym. Jednym z zastosowań jest poszukiwanie optymalnych harmonogramów w równoległym przetwarzaniu zapytań w relacyjnych bazach danych. Podajemy nowe oszacowanie funkcji dobroci przybliżonego algorytmu autorstwa Makino, Uno i Ibaraki wraz z rezultatami testów komputerowych przeprowadzonych dla grafów losowych.

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• Parallel processing subsystems with redundancy in a distributed environment

  Publikacja

  • A. Kosowski
  • M. Małafiejski
  • P. Żyliński

  - Rok 2006

  W pracy rozważano problem podziału systemu rozproszonego na spójne podsystemy złożone z przynajmniej trzech jednostek, pozwalające na detekcję i skorygowanie pojedynczych błędów. Wykazano, że problem maksymalizacji liczby takich jednostek jest NP-trudny nawet dla dwuspójnych kubicznych topologii sieci. Podano też nowe algorytmy przybliżone.

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• Adaptive system for recognition of sounds indicating threats to security of people and property employing parallel processing of audio data streams

  Publikacja

  • K. Łopatka

  - Rok 2015

  A system for recognition of threatening acoustic events employing parallel processing on a supercomputing cluster is featured. The methods for detection, parameterization and classication of acoustic events are introduced. The recognition engine is based onthreshold-based detection with adaptive threshold and Support Vector Machine classifcation. Spectral, temporal and mel-frequency descriptors are used as signal features. The...

• Processing of Satellite Data in the Cloud

  Publikacja

  • J. Proficz
  • K. Drypczewski

  - TASK Quarterly - Rok 2017

  The dynamic development of digital technologies, especially those dedicated to devices generating large data streams, such as all kinds of measurement equipment (temperature and humidity sensors, cameras, radio-telescopes and satellites – Internet of Things) enables more in-depth analysis of the surrounding reality, including better understanding of various natural phenomenon, starting from atomic level reactions, through macroscopic...

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• Towards Efficient Parallel Image Processing on Cluster Grids Using GIMP.

  Publikacja

  • P. Czarnul
  • A. Ciereszko
  • M. Frączak

  - Rok 2004

  Ze względu na fakt, iż niewielu użytkowników posiada wiedzę niezbędną do wykorzystania niskopoziomowych bibliotek programowania równoległego w celu przyspieszenia działania programów operujących na obrazach, proponujemy plugin do znanej aplikacji GIMP, który umożliwia potokowe wykonanie szeregu filtrów na obrazach załadowanych przez plugin. Prezentujemy szczegóły implementacyjne, scenariusze testowe i wyniki na klastrach, potencjalnie...

• A Solution to Image Processing with Parallel MPI I/O and Distributed NVRAM Cache

  Publikacja

  • A. Malinowski
  • P. Czarnul

  - Scalable Computing: Practice and Experience - Rok 2018

  The paper presents a new approach to parallel image processing using byte addressable, non-volatile memory (NVRAM). We show that our custom built MPI I/O implementation of selected functions that use a distributed cache that incorporates NVRAMs located in cluster nodes can be used for efficient processing of large images. We demonstrate performance benefits of such a solution compared to a traditional implementation without NVRAM...

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• Optimizing the computation of a parallel 3D finite difference algorithm for graphics processing units

  Publikacja

  • J. Porter-Sobieraj
  • S. Cygert
  • K. Daniel
  • J. Sikorski
  • M. Słodkowski

  - CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE - Rok 2015

  This paper explores the possibilities of using a graphics processing unit for complex 3D finite difference computation via MUSTA‐FORCE and WENO algorithms. We propose a novel algorithm based on the new properties of CUDA surface memory optimized for 2D spatial locality and compare it with 3D stencil computations carried out via shared memory, which is currently considered to be the best approach. A case study was performed for...

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• Simulation of parallel similarity measure computations for large data sets

  Publikacja

  • P. Czarnul
  • P. Rościszewski
  • M. Matuszek
  • J. Szymański

  - Rok 2015

  The paper presents our approach to implementation of similarity measure for big data analysis in a parallel environment. We describe the algorithm for parallelisation of the computations. We provide results from a real MPI application for computations of similarity measures as well as results achieved with our simulation software. The simulation environment allows us to model parallel systems of various sizes with various components...

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• Massive surveillance data processing with supercomputing cluster

  Publikacja

  • A. Czyżewski
  • P. Bratoszewski
  • A. Ciarkowski
  • J. Cichowski
  • K. Lisowski
  • M. Szczodrak
  • G. Szwoch
  • H. Krawczyk

  - INFORMATION SCIENCES - Rok 2015

  In recent years, increasingly complex algorithms for automated analysis of surveillance data are being developed. The rapid growth in the number of monitoring installations and higher expectations of the quality parameters of the captured data result in an enormous computational cost of analyzing the massive volume of data. In this paper a new model of online processing of surveillance data streams is proposed, which assumes the...

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• Multibeam sonar data processing for seafloor characterisation

  Publikacja

  • Z. Łubniewski

  - Rok 2011

  The approach to seafloor characterisation was investigated. It relies on calculation of several descriptors (parameters) related to seabed type using three types of multibeam sonar data obtained during seafloor sensing: 1) the grey-level sonar images of seabed, 2) the 3D model of the seabed surface which consist of (x, y, z) points, 3) the set of time domain echo envelopes corresponding to several beams. The proposed method has...

• Multibeam Sonar Data Processing for Seafloor Classification

  Publikacja

  • Z. Łubniewski
  • A. Stepnowski
  • D. Sęk

  - Rok 2017

  Despite many years of the development of methodology for sensing the seafloor by means of underwater acoustics, the currently used techniques are still not mature enough and not ready to be utilised in numerous different (i.e. with respect to a water region character, used equipment type etc.) tasks. Therefore the hydroacoustic methods, both utilising vertical observations (e.g. by singlebeam echosounders), as well as those relying...

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• Document transformations for data processing in information systems

  Publikacja

  • H. Krawczyk
  • Ł. Budnik

  - Rok 2007

  Atrykuł przedstawia podejście do automatyzacji transformacjidokumentów użytkownika bazujące na technologii XML. W artykuleprzedstawiony został system Endoscopy Recommender System.ERS wykorzystuje dedykowane transformacje XML Schema do Java, Java dodokumentów XML. Dzięki tym transformacjom procesy pobierania iprzechowywania danych zostały w pełni zautomatyzowane.Zaimplementowane podejście XML data binding umożliwia walidacjępodstawowych...

• Data processing methods for dynamic medical thermography.

  Publikacja

  • M. Kaczmarek
  • J. Rumiński
  • A. Z. Nowakowski

  - IFMBE Proceedings - Rok 2002

  Artykuł przedstawia zastosowanie nowej metody syntezy obrazów w termografii dla potrzeb opisu ilościowego właściwości termicznych tkanek. Opis taki umożliwia różnicowanie przypadków medycznych. Metodę zastosowania dla licznych pomiarów fantomowych i in vitro w eksperymentach na zwierzętach (świnia domowa). Przedstawiono i omówiono rezultaty prac.

• Musical Instrument Tagging Using Data Augmentation and Effective Noisy Data Processing

  Publikacja

  • D. Koszewski
  • B. Kostek

  - JOURNAL OF THE AUDIO ENGINEERING SOCIETY - Rok 2020

  Developing signal processing methods to extract information automatically has potential in several applications, for example searching for multimedia based on its audio content, making context-aware mobile applications (e.g., tuning apps), or pre-processing for an automatic mixing system. However, the last-mentioned application needs a significant amount of research to reliably recognize real musical instruments in recordings....

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• Parallel implementation of background subtraction algorithms for real-time video processing on a supercomputer platform

  Publikacja

  • G. Szwoch
  • D. Ellwart
  • A. Czyżewski

  - Journal of Real-Time Image Processing - Rok 2016

  Results of evaluation of the background subtraction algorithms implemented on a supercomputer platform in a parallel manner are presented in the paper. The aim of the work is to chose an algorithm, a number of threads and a task scheduling method, that together provide satisfactory accuracy and efficiency of a real-time processing of high resolution camera images, maintaining the cost of resources usage at a reasonable level. Two...

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• Implementation of FDTD-compatible Green's function on heterogeneous CPU-GPU parallel processing system

  Publikacja

  • T. Stefański

  - Progress in Electromagnetics Research-PIER - Rok 2013

  This paper presents an implementation of the FDTD-compatible Green's function on a heterogeneous parallel processing system. The developed implementation simultaneously utilizes computational power of the central processing unit (CPU) and the graphics processing unit (GPU) to the computational tasks best suited to each architecture. Recently, closed-form expression for this discrete Green's function (DGF) was derived, which facilitates...

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• GIS for processing multidimensional marine data in SAAS model

  Publikacja

  • K. Drypczewski
  • B. Wiśniewski
  • M. Kulawiak
  • K. Bruniecki

  - HYDROACOUSTICS - Rok 2013

  Geographic Information Systems (GIS) have always been a useful tool for visualization and processing of geospatial data. However, their capabilities of analysis non-standard information such as hydroacoustic soundings has thus far been very limited. This paper proposes a general-purpose GIS which uses techniques such as OLAP, WCS and WCPS for processing of multidimensional spatio-temporal data. The versatility of the GIS is exemplified...

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• Multibeam data processing for 3D object shape reconstruction

  Publikacja

  • M. Kulawiak
  • Z. Łubniewski

  - HYDROACOUSTICS - Rok 2017

  The technology of hydroacoustic scanning offers an efficient and widely-used source of geospatial information regarding underwater environments, providing measurement data which usually have the structure of irregular groups of points known as point clouds. Since this data model has known disadvantages, a different form of representation based on representing surfaces with simple geometric structures, such as edges and facets,...

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• Processing of Marine Satellite Data in WEB-BASED GIS

  Publikacja

  • M. Kulawiak
  • K. Bruniecki
  • T. Bieliński

  - HYDROACOUSTICS - Rok 2013

  GIS systems are important modern word. They allow to quickly analyse and corelate various data bound to their geographical context. The paper describes Web-base GIS with ability to integrate and analyse data from many sources such as: satellite imagery, threat simulation models, marine vessels Automatic Identification System, raster and vector topographic charts. Some details of system architecture and implementation are presented...

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• Parallel Implementation of the Discrete Green's Function Formulation of the FDTD Method on a Multicore Central Processing Unit

  Publikacja

  • T. Stefański
  • S. Orłowski
  • B. Reichel

  - RADIOENGINEERING - Rok 2014

  Parallel implementation of the discrete Green's function formulation of the finite-difference time-domain (DGF-FDTD) method was developed on a multicore central processing unit. DGF-FDTD avoids computations of the electromagnetic field in free-space cells and does not require domain termination by absorbing boundary conditions. Computed DGF-FDTD solutions are compatible with the FDTD grid enabling the perfect hybridization of FDTD...

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• Client-side versus server-side geographic data processing performance comparison: Data and code

  Publikacja

  • M. Kulawiak

  - Data in Brief - Rok 2019

  The data and code presented in this article are related to the research article entitled “Analysis of Server-side and Client-side Web-GIS data processing methods on the example of JTS and JSTS using open data from OSM and Geoportal” (Kulawiak et al., 2019). The provided 12 datasets include multi-point and multi-polygon data of different scales and volumes, representing real-world geographic features. The datasets cover the area...

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• Web-based 3D processing and dissemination of multibeam sonar data

  Publikacja

  • M. Kulawiak

  - HYDROACOUSTICS - Rok 2016

  The continuous detailed surveys of the various water bodies over time produce a large and ever-increasing volume and density of underwater sounding data. Three-dimensional data, such as those obtained by multibeam sonar systems, are quite complex to manage, and thus their growing numbers increase the pressure on development of new solutions dedicated to processing them. This paper presents a concept system for web-based dissemination...

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• Processing of Hydroacoustic and LiDAR Data for Three-dimensional Surface Reconstruction

  Publikacja

  • M. Kulawiak

  - Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne - Rok 2018

  The technologies of sonar and laser scanning are commonly used for obtaining spatial information about underwater and over ground environments in the form of point clouds. Since this data model has known disadvantages, a more practical solution of visualising such data involves the creation of solid three-dimensional meshes composed of edges and facets. In this paper, several methods for 3D shape reconstruction of data obtained...

• Integration, Processing and Dissemination of LiDAR Data in a 3D Web-GIS

  Publikacja

  • M. Kulawiak
  • M. Kulawiak
  • Z. Łubniewski

  - ISPRS International Journal of Geo-Information - Rok 2019

  The rapid increase in applications of Light Detection and Ranging (LiDAR) scanners, followed by the development of various methods that are dedicated for survey data processing, visualization, and dissemination constituted the need of new open standards for storage and online distribution of collected three-dimensional data. However, over a decade of research in the area has resulted in a number of incompatible solutions that offer...

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• Big Data Processing by Volunteer Computing Supported by Intelligent Agents

  Publikacja

  • J. Balicki
  • W. Korłub
  • J. Paluszak

  - Rok 2015

  In this paper, volunteer computing systems have been proposed for big data processing. Moreover, intelligent agents have been developed to efficiency improvement of a grid middleware layer. In consequence, an intelligent volunteer grid has been equipped with agents that belong to five sets. The first one consists of some user tasks. Furthermore, two kinds of semi-intelligent tasks have been introduced to implement a middleware...

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• Music Data Processing and Mining in Large Databases for Active Media

  Publikacja

  • B. Kostek
  • P. Hoffmann

  - Rok 2014

  The aim of this paper was to investigate the problem of music data processing and mining in large databases. Tests were performed on a large data-base that included approximately 30000 audio files divided into 11 classes cor-responding to music genres with different cardinalities. Every audio file was de-scribed by a 173-element feature vector. To reduce the dimensionality of data the Principal Component Analysis (PCA) with variable...

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• Real-Time Multimedia Stream data Processing in a Supercomputer Environment

  Publikacja

  • H. Krawczyk
  • J. Proficz

  - Rok 2012

  Rozdział opisuje doświadczenia uzyskane przez autorów podczas pracy w projekcie MAYDAY EURO 2012. Przedstawiono główny cel projektu - stworzenie systemu umożliwiającego rozwijanie i równolegle wykonywanie usług multimedialnych w środowisku klastra obliczeniowego dużej mocy. opisano tematykę przetwarzania dużej liczby strumieni multimedialnych na komputerach dużej mocy. Następnie zaprezentowano możliwości platformy KASKADA: tworzenie...

• Versatile prototyping platform for Data Processing Boards for CBM experiment

  Publikacja

  • W. Zabolotny
  • G. Kasprowicz
  • A. Byszuk
  • D. Emschermann
  • M. Gumiński
  • B. Juszczyk
  • J. Lehnert
  • W. Müller
  • K. Poźniak
  • R. Romaniuk
  • R. S. Romaniuk

  - Journal of Instrumentation - Rok 2016

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• Using Rule-Based System for Monitoring Marine Navigation Data Processing

  Publikacja

  • K. Drypczewski
  • W. Korłub
  • M. Moszyński

  - Rok 2015

  Processing marine navigational data requires sophisticated software solutions. Typically, specialized tools called processors are analyzing raw data from different sensors. It becomes important to create the monitoring software that is able to validate and verify processing components integrated into the final system. Drools®business rule management platform provides a core business rules engine, web authoring and rules management...

• Processing data on sea bottom structure obtained by means of the parametric sounding

  Publikacja

  • G. Grelowska
  • E. Kozaczka
  • W. Szymczak

  - Rok 2010

  The aim of the paper is to analyze data obtain during sounding of the Gdansk Bay by means of the parametric sonar. The accuracy of the sea bottom structure investigation needs the correct configuration of research equipment and the proper calibration of peripheral devices (GPS, heading sensor, motion sensor MRU-Z and navigation units) which provide necessary data to bathymetrical measurement system enabling its work with whole...

• Processing data on sea bottom structure obtained by means of the parametric sounding

  Publikacja

  • E. Kozaczka
  • G. Grelowska
  • S. Kozaczka
  • W. Szymczak

  - Polish Maritime Research - Rok 2012

  The aim of the paper is to analyze data obtained during sounding the Gdansk Bay sea bed by means of the parametric echo-sounder. The accuracy of the sea bottom structure investigation needs correct configuration of research equipment and proper calibration of peripheral devices (GPS, heading sensor, MRU-Z motion sensor and navigation instruments which provide necessary data to bathymetrical measurement system, enabling its work...

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• Methodology for Processing of 3D Multibeam Sonar Big Data for Comparative Navigation

  Publikacja

  • A. Stateczny
  • W. Błaszczak-bąk
  • A. Sobieraj-Żłobińska
  • W. Motyl
  • M. Wiśniewska

  - Remote Sensing - Rok 2019

  Autonomous navigation is an important task for unmanned vehicles operating both on the surface and underwater. A sophisticated solution for autonomous non-global navigational satellite system navigation is comparative (terrain reference) navigation. We present a method for fast processing of 3D multibeam sonar data to make depth area comparable with depth areas from bathymetric electronic navigational charts as source maps during...

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• Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices

  Publikacja

  • A. G. Pereira
  • A. Ojo
  • C. Edward
  • L. Porwol

  - Rok 2020

  There are growing opportunities to leverage new technologies and data sources to address global problems related to sustainability, climate change, and biodiversity loss. The emerging discipline of GeoAI resulting from the convergence of AI and Geospatial science (Geo-AI) is enabling the possibility to harness the increasingly available open Earth Observation data collected from different constellations of satellites and sensors...

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• Machine-to-Machine communication and data processing approach in Future Internet applications

  Publikacja

  • D. Walczak
  • M. Wrzos
  • A. Radziuk
  • B. Lewandowski
  • C. Mazurek

  - Rok 2012

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• Processing of acoustical data in a multimodal bank operating room surveillance system

  Publikacja

  • J. Kotus
  • K. Łopatka
  • A. Czyżewski
  • G. Bogdanis

  - MULTIMEDIA TOOLS AND APPLICATIONS - Rok 2016

  An automatic surveillance system capable of detecting, classifying and localizing acoustic events in a bank operating room is presented. Algorithms for detection and classification of abnormal acoustic events, such as screams or gunshots are introduced. Two types of detectors are employed to detect impulsive sounds and vocal activity. A Support Vector Machine (SVM) classifier is used to discern between the different classes of...

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• CMS data processing workflows during an extended cosmic ray run

  Publikacja

  • C. Collaboration
  • R. S. Romaniuk

  - Journal of Instrumentation - Rok 2010

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• Data Compression in Ultrasonic Network Communication via Sparse Signal Processing

  Publikacja

  • B. Zima
  • O. Reyes Márquez
  • M. Mohammadgholiha
  • J. Moll
  • L. Marchi De

  - Rok 2022

  This document presents the approach of using compressed sensing in signal encoding and information transferring within a guided wave sensor network, comprised of specially designed frequency steerable acoustic transducers (FSATs). Wave propagation in a damaged plate was simulated using commercial FEM-based software COMSOL. Guided waves were excited by means of FSATs, characterized by the special shape of its electrodes, and modeled...

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• Processing of musical data employing rough sets and artificial neural networks

  Publikacja

  • B. Kostek
  • P. Szczuko
  • P. Żwan

  - Rok 2004

  Artykuł opisuje założenia systemu automatycznej identyfikacji muzyki i dźwięków muzycznych. Dokonano przeglądu standardu MPEG-7, ze szczególnym naciskiem na parametry opisowe dźwięku. Przedyskutowano problemy analizy danych audio, związane z zastosowaniami wykorzystującymi MPEG-7. W oparciu o eksperymenty przedstawiono efektywność deskryptorów niskiego poziomu w automatycznym rozpoznawaniu dźwięków instrumentów muzycznych. Przedyskutowano...

• Processing of musical data employing rough sets and artificial neural networks

  Publikacja

  • B. Kostek
  • P. Szczuko
  • P. Żwan
  • P. Dalka

  - Rok 2005

  Artykuł opisuje założenia systemu automatycznej identyfikacji muzyki i dźwięków muzycznych. Dokonano przeglądu standardu MPEG-7, ze szczególnym naciskiem na parametry opisowe dźwięku. Przedyskutowano problemy analizy danych audio, związane z zastosowaniami wykorzystującymi MPEG-7. W oparciu o eksperymenty przedstawiono efektywność deskryptorów niskiego poziomu w automatycznym rozpoznawaniu dźwięków instrumentów muzycznych. Przedyskutowano...

• Dynamic Data Management Among Multiple Databases for Optimization of Parallel Computations in Heterogeneous HPC Systems

  Publikacja

  • P. Rościszewski

  - Rok 2014

  Rapid development of diverse computer architectures and hardware accelerators caused that designing parallel systems faces new problems resulting from their heterogeneity. Our implementation of a parallel system called KernelHive allows to efficiently run applications in a heterogeneous environment consisting of multiple collections of nodes with different types of computing devices. The execution engine of the system is open for...

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• Thermal Image Processing for Respiratory Estimation from Cubical Data with Expandable Depth

  Publikacja

  • M. Szankin
  • A. Kwaśniewska
  • J. Rumiński

  - Journal of Imaging - Rok 2023

  As healthcare costs continue to rise, finding affordable and non-invasive ways to monitor vital signs is increasingly important. One of the key metrics for assessing overall health and identifying potential issues early on is respiratory rate (RR). Most of the existing methods require multiple steps that consist of image and signal processing. This might be difficult to deploy on edge devices that often do not have specialized...

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• Atomic Force Microscope data post-processing algorithm for higher harmonics imaging

  Publikacja

  • S. Babicz-Kiewlicz

  - Zeszyty Naukowe Wydziału Elektrotechniki i Automatyki Politechniki Gdańskiej - Rok 2013

  Previous works have proved that higher harmonics topography imaging using atomic force microscope (AFM) can significantly enhanced its measurement capabilities. Integrated tools dedicated to most of microscopes allow to visualize the investigated surface only by one selected harmonic. Because of the different characteristics of a sample, scanning tip and the environment, appropriate harmonic selection is time consuming and requires...

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• An application of advanced data processing methods to response analysis of electrocatalytic gas sensor

  Publikacja

  • G. Jasiński
  • P. Jasiński
  • A. Z. Nowakowski

  - Proceedings of SPIE - Rok 2006

  Przedstawiono stosowane dotychczas oraz zaproponowano nowe metody analizy odpowiedzi czujników elektrokatalitycznych. Porównano ich właściwości.

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• Architecture for Aggregation, Processing and Provisioning of Data from Heterogeneous Scientific Information Services

  Publikacja

  • C. Mazurek
  • M. Mielnicki
  • A. Nowak
  • M. Stroiński
  • M. Werla
  • J. Węglarz

  - Rok 2013

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• A Fail-Safe NVRAM Based Mechanism for Efficient Creation and Recovery of Data Copies in Parallel MPI Applications

  Publikacja

  • A. Malinowski
  • P. Czarnul
  • M. Maciejewski
  • P. Skowron

  - Rok 2016

  The paper presents a fail-safe NVRAM based mechanism for creation and recovery of data copies during parallel MPI application runtime. Specifically, we target a cluster environment in which each node has an NVRAM installed in it. Our previously developed extension to the MPI I/O API can take advantage of NVRAM regions in order to provide an NVRAM based cache like mechanism to significantly speed up I/O operations and allow to preload...

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• Minimizing Distribution and Data Loading Overheads in Parallel Training of DNN Acoustic Models with Frequent Parameter Averaging

  Publikacja

  • P. Rościszewski
  • J. Kaliski

  - Rok 2017

  In the paper we investigate the performance of parallel deep neural network training with parameter averaging for acoustic modeling in Kaldi, a popular automatic speech recognition toolkit. We describe experiments based on training a recurrent neural network with 4 layers of 800 LSTM hidden states on a 100-hour corpora of annotated Polish speech data. We propose a MPI-based modification of the training program which minimizes the...

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• Novel Fault Identification for Electromechanical Systems via Spectral Technique and Electrical Data Processing

  Publikacja

  • T. Ciszewski
  • L. Gelman
  • A. Ball

  - Electronics - Rok 2020

  It is proposed, developed, investigated, and validated by experiments and modelling for the first time in worldwide terms new data processing technologies, higher order spectral multiple correlation technologies for fault identification for electromechanical systems via electrical data processing. Investigation of the higher order spectral triple correlation technology via modelling has shown that the proposed data processing technology...

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• Monitoring Parkinson's disease patients employing biometric sensors and rule-based data processing

  Publikacja

  • P. Żwan
  • K. Kaszuba-Miotke
  • B. Kostek

  - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2010

  Artykuł prezentuje automatyczny system wykrywania pogorszenia zdrowia pacjentów z chorobą Parkinsona opracowany w ramach projektu PERFORM.The paper presents how rule-based processing can be applied to automatically evaluate the motor state of Parkinson's Disease patients. Automatic monitoring of patients by using biometric sensors can provide assessment of the Parkinson's Disease symptoms. All data on PD patients' state are compared...

• A strategy for GPS data processing in a precise local network during high solar activity

  Publikacja

  • J. Bosy
  • M. Figurski
  • P. Wielgosz

  - GPS SOLUTIONS - Rok 2003

  This paper presents the analyses connected with reduction of errors from ionospheric refraction using GPS data from local satellite networks. This is particularly essential during rising solar activity. The Bernese GPS Software v. 4.2 was used, as an analytical tool. The test data included measurements from a geodynamic network SUDETES situated in the Sudety Mountains across the border between the Czech Republic and Poland. A local...

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• Influence of YARN Schedulers on Power Consumption and Processing Time for Various Big Data Benchmarks

  Publikacja

  • K. Drypczewski
  • J. Proficz
  • A. Stepnowski

  - TASK Quarterly - Rok 2019

  Climate change caused by human activities can influence the lives of everybody onthe planet. The environmental concerns must be taken into consideration by all fields of studyincludingICT. Green Computing aims to reduce negative effects of IT on the environment while,at the same time, maintaining all of the possible benefits it provides. Several Big Data platformslike Apache Spark orYARNhave become widely used in analytics and...

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• Using LSTM networks to predict engine condition on large scale data processing framework

  Publikacja

  • O. Aydin
  • S. Guldamlasioglu

  - Rok 2017

  As the Internet of Things technology is developing rapidly, companies have an ability to observe the health of engine components and constructed systems through collecting signals from sensors. According to output of IoT sensors, companies can build systems to predict the conditions of components. Practically the components are required to be maintained or replaced before the end of life in performing their assigned task. Predicting...

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• Using LSTM networks to predict engine condition on large scale data processing framework

  Publikacja

  • O. Aydin
  • S. Guldamlasioglu

  - Rok 2017

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• Thresholding Methods for Reduction in Data Processing Errors in the Laser-Textured Surface Topography Measurements

  Publikacja

  • P. Podulka

  - Materials - Rok 2022

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• Perception-based data processing in acoustics. Applications to music information retrieval and psychophysiology of hearing.

  Publikacja

  • B. Kostek

  - Rok 2005

  Tematyka książki obejmuje w pierwszej kolejności opis mechanizmów kognitywnych leżących u podstaw percepcji muzyki. Przedstawione zostały również zagadnienia automatycznego rozpoznawania dźwięków instrumentów muzycznych i muzyki, zastosowanie nowych metod z dziedziny sztucznej inteligencji w szeroko rozumianej inżynierii dźwięku oraz komputerowych metod badania słuchu.

• Processing of LiDAR and Multibeam Sonar Point Cloud Data for 3D Surface and Object Shape Reconstruction

  Publikacja

  • M. Kulawiak
  • Z. Łubniewski

  - Rok 2016

  Unorganised point cloud dataset, as a transitional data model in several applications, usually contains a considerable amount of undesirable irregularities, such as strong variability of local point density, missing data, overlapping points and noise caused by scattering characteristics of the environment. For these reasons, further processing of such data, e.g. for construction of higher order geometric models of the topography...

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• Assessing business process complexity based on textual data: Evidence from ITIL IT ticket processing

  Publikacja

  • N. Rizun
  • A. Revina
  • V. Maister

  - Business Process Management Journal - Rok 2021

  Purpose This study aims to draw the attention of business process management (BPM) research and practice to the textual data generated in the processes and the potential of meaningful insights extraction. The authors apply standard natural language processing (NLP) approaches to gain valuable knowledge in the form of business process (BP) complexity concept suggested in the study. It is built on the objective, subjective and meta-knowledge...

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• A universal IT system architecture for servicing, collecting, storing, processing and presenting data from wireless devices

  Publikacja

  • M. Roszman
  • K. Nyka
  • Ł. Kulas

  - Zeszyty Naukowe Wydziału ETI Politechniki Gdańskiej. Technologie Informacyjne - Rok 2010

  In the article we present a universal IT system architecture, which allows one to develop, based on mobile and multiplatform JAVA language, applications capable of working with many different wireless systems in an easy and effective way. Modular system architecture supports efficient data processing and enables convenient presentation of chosen parameters. Additionally, proposed IT system architecture provides easy adoption to...

• Analysis of server-side and client-side Web-GIS data processing methods on the example of JTS and JSTS using open data from OSM and geoportal

  Publikacja

  • M. Kulawiak
  • A. Dawidowicz
  • M. Pacholczyk

  - COMPUTERS & GEOSCIENCES - Rok 2019

  The last decade has seen a rapid evolution of processing, analysis and visualization of freely available geographic data using Open Source Web-GIS. In the beginning, Web-based Geographic Information Systems employed a thick-client approach which required installation of platform-specific browser plugins. Later on, research focus shifted to platform-independent thin client solutions in which data processing and analysis was performed...

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• Recognition of hazardous acoustic events employing parallel processing on a supercomputing cluster . Rozpoznawanie niebezpiecznych zdarzeń dźwiękowych z wykorzystaniem równoległego przetwarzania na klastrze superkomputerowym

  Publikacja

  • K. Łopatka
  • A. Czyżewski

  - Rok 2015

  A method for automatic recognition of hazardous acoustic events operating on a super computing cluster is introduced. The methods employed for detecting and classifying the acoustic events are outlined. The evaluation of the recognition engine is provided: both on the training set and using real-life signals. The algorithms yield sufficient performance in practical conditions to be employed in security surveillance systems. The...

• MATCHED FILTER APPROACH FOR MICROSEISMIC SIGNAL PROCESSING OF REAL DATA FROM EAST POMERANIA SHALE GAS

  Publikacja

  • M. Kmieć
  • M. Antoszkiewicz
  • R. Jankowski
  • M. Szkodo

  - Rok 2017

  The microseismic monitoring is a method of monitoring of fracture propagation during hydraulic fracturing (HF)process. An array of several hundred geophones is placed on the surface to record little ground tremors induced by fracturing process. Filtration and summation of signals from geophones is essential to identify and locate fracturing events from underground. Authors propose a method of matched filtering, that is usually...

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• Investigation of the 16-year and 18-year ZTD Time Series Derived from GPS Data Processing

  Publikacja

  • Z. Bałdysz
  • G. Nykiel
  • M. Figurski
  • K. Szafranek
  • K. Kroszczyński

  - Acta Geophysica - Rok 2015

  The GPS system can play an important role in activities related to the monitoring of climate. Long time series, coherent strategy, and very high quality of tropospheric parameter Zenith Tropospheric Delay (ZTD) estimated on the basis of GPS data analysis allows to investigate its usefulness for climate research as a direct GPS product. This paper presents results of analysis of 16-year time series derived from EUREF Permanent Network...

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• Processing of point cloud data retrieved from terrestrial laser scanning for structural modeling by Finite Element Method

  Publikacja

  • P. Ziółkowski

  - Rok 2017

  Finite Element Method is one most popular contemporary method of strength analysis. The method is an advanced method for solving differential equations, based on discretization, which means that area is divided into finite elements. Each finite element has a solution of the equation approximated by specific functions and performing the actual calculations only for nodes of this division. Finite Element Method is widely used in...

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• The Effect of Surface Topography Feature Size Density and Distribution on the Results of a Data Processing and Parameters Calculation with a Comparison of Regular Methods

  Publikacja

  • P. Podulka

  - Materials - Rok 2021

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• Post processing and selecting data obtain with parametric sub-bottom profiler SES-2000 Standard during sounding the Gulf of Gdansk

  Publikacja

  • G. Grelowska
  • E. Kozaczka
  • S. Kozaczka
  • W. Szymczak

  - Rok 2012

  The main goal of the paper is to describe the results of sounding the Gulf of Gdansk seabed using a parametric sub-bottom profiler SES-2000 Standard. Quality of obtained during trials data depends inter alia on proper location of antenna to reduce influence of pitch, roll, heave and ship noise (bubbles from propeller and a hull flow, vibration from main engine and peripheral devices). Furthermore calibration of complementary units...

• Statistical Data Pre-Processing and Time Series Incorporation for High-Efficacy Calibration of Low-Cost NO2 Sensor Using Machine Learning

  Publikacja

  • S. Kozieł
  • A. Pietrenko-Dąbrowska
  • M. Wójcikowski
  • B. Pankiewicz

  - Scientific Reports - Rok 2024

  Air pollution stands as a significant modern-day challenge impacting life quality, the environment, and the economy. It comprises various pollutants like gases, particulate matter, biological molecules, and more, stemming from sources such as vehicle emissions, industrial operations, agriculture, and natural events. Nitrogen dioxide (NO2), among these harmful gases, is notably prevalent in densely populated urban regions. Given...

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• Architecture and implementation of distributed data storage using Web Services, CORBA i PVM. W: Proceedings. PPAM 2003. Parallel Processing and Applied Mathematics. Fifth International Conference. Częstochowa, 7-10 September 2003. Architektura i implementacja rozproszonego zarządzania danymi używając systemów Web Services, CORBA i PVN.

  Publikacja

  • P. Czarnul

  - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2003

  Proponujemy architekturę i jej implementację PVMWeb Cluster I/O przeznaczoną do rozproszonego zarządzania danymi. Dane zapisywane są w systemie Web Services z geograficznie odległych klientów lub przez wywołania CORBA z wewnątrz danego klastra co oferuje lepsze osiągi.

• Cavitation based cleaner technologies for biodiesel production and processing of hydrocarbon streams: A perspective on key fundamentals, missing process data and economic feasibility – A review

  Publikacja

  • E. Çako
  • Z. Wang
  • R. Castro-Muñoz
  • M. P. Rayaroth
  • G. Boczkaj

  - ULTRASONICS SONOCHEMISTRY - Rok 2022

  The present review emphasizes the role of hydrodynamic cavitation (HC) and acoustic cavitation in clean and green technologies for selected fuels (of hydrocarbon origins such as gasoline, naphtha, diesel, heavy oil, and crude oil) processing applications including biodiesel production. Herein, the role of cavitation reactors, their geometrical parameters, physicochemical properties of liquid media, liquid oxidants, catalyst loading,...

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• Exception handling model influence factors for discributed systems. W: Proceedings. PPAM 2003. Parallel Processing and Applied Mathematics. 5th In- ternational Conference. Częstochowa, 7-10 September 2003.Model obsługi wyjątków uwzględniający wpływ czynników systemu rozproszonego.

  Publikacja

  • P. Kaczmarek
  • H. Krawczyk

  - LECTURE NOTES IN COMPUTER SCIENCE - Rok 2003

  Specyfikacja programu jest jasno określona w systemach sekwencyjnych, gdzie posiada standardowe i wyjątkowe przejścia. Praca przedstawia rozszerzony model specyfikacji systemu w środowiskach rozproszonych uwzględniający szereg specyficznych czynników. Model zawiera analizę specyfikacji pod kątem obsługi wyjątków dla rozproszonych danych oraz komunikacji międzyprocesorowej. Ogólny model został zaimplementowany w środowisku...

• Algorithms for processing and visualization of Critical Infrastructure security data as well as simulation and analysis of threats = Algorytmy przetwarzania i wizualizacji danych dotyczących bezpieczeństwa infrastruktur krytycznych oraz symulacji i analizy zagrożeń

  Publikacja

  • M. Kulawiak

  - Rok 2010

  Rozprawa traktuje o algorytmach przetwarzania danych dotyczących różnego rodzaju zagrożeń, w szczególności wyników analiz ryzyka infrastruktur krytycznych, pozwalających na przestrzenną analizę tych danych w kontekście geograficznym za pomocą dedykowanego Systemu Informacji Przestrzennej. Prezentowane metody analizy zgrupowań Infrastruktur Krytycznych oraz propagacji ich zagrożeń wykorzystują wyniki syntetycznej analizy podatności...

• A Formal Approach to Model the Expansion of Natural Events: The Case of Infectious Diseases

  Publikacja

  • M. Teresa Signes-Pont
  • J. Boters Pitarch
  • J. Szymański
  • H. Mora-Mora

  - Parallel Processing Letters - Rok 2023

  A formal approach to modeling the expansion of natural events is presented in this paper. Since the mathematical, statistical or computational methods used are not relevant for development, a modular framework is carried out that guides from the external observation down to the innermost level of the variables that have to appear in the future mathematical-computational formalization. As an example we analyze the expansion of Covid-19....

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• The chapter analyses the K-Means algorithm in its parallel setting. We provide detailed description of the algorithm as well as the way we paralellize the computations. We identified complexity of the particular steps of the algorithm that allows us to build the algorithm model in MERPSYS system. The simulations with the MERPSYS have been performed for different size of the data as well as for different number of the processors used for the computations. The results we got using the model have been compared to the results obtained from real computational environment.

  Publikacja

  • J. Szymański

  - Rok 2016

  The chapter analyses the K-Means algorithm in its parallel setting. We provide detailed description of the algorithm as well as the way we paralellize the computations. We identified complexity of the particular steps of the algorithm that allows us to build the algorithm model in MERPSYS system. The simulations with the MERPSYS have been performed for different size of the data as well as for different number of the processors used...

• [Chapter] 22. Application of physical modeling to study combustion process-es and flow patterns in large-scale boilers and furmaces. W: Optical me- thods and data processing in heat and fluid flow. Ed. C. Greated, J. Cos-grove, J.M. Buick. Bury St. Edmunds. London: Profess. Eng. Publ.**2002 s. 267-277, 4 rys. bibliogr. 6 poz. Zastosowanie modelowania fizycznego do badania procesów spalania pola prze- pływu w przemysłowych kotłach i piecach.

  Publikacja

  • J. Barański
  • W. Blasiak
  • J. Stąsiek

  - Rok 2002

  Rozdział zawiera wyniki badań modelowania fizycznego dwuwymiarowego i trój-wymiarowego pola przepływu i procesów spalania w wybranych urządzeniachprzemysłowych.

• First detection of spectral resonance structures of the ionospheric Alfvén resonance in ULF/ELF magnetic field recorded at Suwałki, Poland

  Publikacja

  • A. Odzimek
  • M. Neska

  - Publications of the Institute of Geophysics, Polish Academy of Sciences; Geophysical Data Bases, Processing and Instrumentation - Rok 2019

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• “Electromagnetic ULF/ELF Fields on Earth and in Space” Conference, Warsaw, Poland, 2019. Preface

  Publikacja

  • A. Kułak
  • A. Odzimek

  - Publications of the Institute of Geophysics, Polish Academy of Sciences; Geophysical Data Bases, Processing and Instrumentation - Rok 2019

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• Parallel multithread computing for spectroscopic analysis in optical coherence tomography

  Publikacja

  • M. Trojanowski
  • M. Kraszewski
  • M. Strąkowski
  • J. Pluciński

  - Rok 2014

  Spectroscopic Optical Coherence Tomography (SOCT) is an extension of Optical Coherence Tomography (OCT). It allows gathering spectroscopic information from individual scattering points inside the sample. It is based on time-frequency analysis of interferometric signals. Such analysis requires calculating hundreds of Fourier transforms while performing a single A-scan. Additionally, further processing of acquired spectroscopic information...

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• Performance evaluation of parallel background subtraction on GPU platforms

  Publikacja

  • G. Szwoch

  - Elektronika : konstrukcje, technologie, zastosowania - Rok 2015

  Implementation of the background subtraction algorithm on parallel GPUs is presented. The algorithm processes video streams and extracts foreground pixels. The work focuses on optimizing parallel algorithm implementation by taking into account specific features of the GPU architecture, such as memory access, data transfers and work group organization. The algorithm is implemented in both OpenCL and CUDA. Various optimizations of...

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• Tryton Supercomputer Capabilities for Analysis of Massive Data Streams

  Publikacja

  • H. Krawczyk
  • M. Nykiel
  • J. Proficz

  - Polish Maritime Research - Rok 2015

  The recently deployed supercomputer Tryton, located in the Academic Computer Center of Gdansk University of Technology, provides great means for massive parallel processing. Moreover, the status of the Center as one of the main network nodes in the PIONIER network enables the fast and reliable transfer of data produced by miscellaneous devices scattered in the area of the whole country. The typical examples of such data are streams...

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• Parallel Background Subtraction in Video Streams Using OpenCL on GPU Platforms

  Publikacja

  • G. Szwoch

  - Rok 2014

  Implementation of the background subtraction algorithm using OpenCL platform is presented. The algorithm processes live stream of video frames from the surveillance camera in on-line mode. Processing is performed using a host machine and a parallel computing device. The work focuses on optimizing an OpenCL algorithm implementation for GPU devices by taking into account specific features of the GPU architecture, such as memory access,...

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• From Sequential to Parallel Implementation of NLP Using the Actor Model

  Publikacja

  • M. Zielonka
  • J. Kuchta
  • P. Czarnul

  - Advances in Intelligent Systems and Computing - Rok 2018

  The article focuses on presenting methods allowing easy parallelization of an existing, sequential Natural Language Processing (NLP) application within a multi-core system. The actor-based solution implemented with the Akka framework has been applied and compared to an application based on Task Parallel Library (TPL) and to the original sequential application. Architectures, data and control flows are described along with execution...

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• Optimization of Execution Time under Power Consumption Constraints in a Heterogeneous Parallel System with GPUs and CPUs

  Publikacja

  • P. Czarnul
  • P. Rościszewski

  - Rok 2014

  The paper proposes an approach for parallelization of computations across a collection of clusters with heterogeneous nodes with both GPUs and CPUs. The proposed system partitions input data into chunks and assigns to par- ticular devices for processing using OpenCL kernels defined by the user. The sys- tem is able to minimize the execution time of the application while maintaining the power consumption of the utilized GPUs and...

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• Towards Effective Processing of Large Text Collections

  Publikacja

  • J. Szymański
  • H. Krawczyk

  - Rok 2012

  In the article we describe the approach to parallelimplementation of elementary operations for textual data categorization.In the experiments we evaluate parallel computations ofsimilarity matrices and k-means algorithm. The test datasets havebeen prepared as graphs created from Wikipedia articles relatedwith links. When we create the clustering data packages, wecompute pairs of eigenvectors and eigenvalues for visualizationsof...

• Multi-core processing system for real-time image processing in embedded computer vision applications

  Publikacja

  • R. Żaglewski
  • M. Wójcikowski

  - Rok 2008

  W artykule opisano architekturę wielordzeniowego programowalnego systemu do przetwarzania obrazów w czasie rzeczywistym. Dane obrazu są przetwarzane równocześnie przez wszystkie procesory. System umożliwia niskopoziomowe przetwarzanie obrazów,np. odejmowanie tła, wykrywanie obiektów ruchomych, transformacje geometryczne, indeksowanie wykrytych obiektów, ocena ich kształtu oraz podstawowa analiza trajektorii ruchu. Ang:This paper...

• Parallelization of Compute Intensive Applications into Workflows based on Services in BeesyCluster

  Publikacja

  • P. Czarnul

  - Rok 2011

  The paper presents an approach for modeling, optimization and execution of workflow applications based on services that incorporates both service selection and partitioning of input data for parallel processing by parallel workflow paths. A compute-intensive workflow application for parallel integration is presented. An impact of the input data partitioning on the scalability is presented. The paper shows a comparison of the theoretical...

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• Performance Assessment of Using Docker for Selected MPI Applications in a Parallel Environment Based on Commodity Hardware

  Publikacja

  • T. Kononowicz
  • P. Czarnul

  - Applied Sciences-Basel - Rok 2022

  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 configurations. The testbed applications are representative of the most typical parallel processing paradigms: master–slave, geometric Single Program Multiple Data (SPMD) as well as divide-and-conquer and feature characteristic computational and communication...

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• DATABASE AND BIGDATA PROCESSING SYSTEM FOR ANALYSIS OF AIS MESSAGES IN THE NETBALTIC RESEARCH PROJECT

  Publikacja

  • M. Lewczuk
  • P. Cichocki
  • J. Woźniak

  - TASK Quarterly - Rok 2017

  A specialized database and a software tool for graphical and numerical presentation of maritime measurement results has been designed and implemented as part of the research conducted under the netBaltic project (Internet over the Baltic Sea – the implementation of a multi-system, self-organizing broadband communications network over the sea for enhancing navigation safety through the development of e-navigation services.) The...

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• Acceleration of decision making in sound event recognition employing supercomputing cluster

  Publikacja

  • K. Łopatka
  • A. Czyżewski

  - INFORMATION SCIENCES - Rok 2014

  Parallel processing of audio data streams is introduced to shorten the decision making time in hazardous sound event recognition. A supercomputing cluster environment with a framework dedicated to processing multimedia data streams in real time is used. The sound event recognition algorithms employed are based on detecting foreground events, calculating their features in short time frames, and classifying the events with Support...

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• Modelling and simulation of GPU processing in the MERPSYS environment

  Publikacja

  • T. Gajger
  • P. Czarnul

  - Scalable Computing: Practice and Experience - Rok 2018

  In this work, we evaluate an analytical GPU performance model based on Little's law, that expresses the kernel execution time in terms of latency bound, throughput bound, and achieved occupancy. We then combine it with the results of several research papers, introduce equations for data transfer time estimation, and finally incorporate it into the MERPSYS framework, which is a general-purpose simulator for parallel and distributed...

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• Integration of Services into Workflow Applications

  Publikacja

  • P. Czarnul

  - Rok 2015

  Describing state-of-the-art solutions in distributed system architectures, Integration of Services into Workflow Applications presents a concise approach to the integration of loosely coupled services into workflow applications. It discusses key challenges related to the integration of distributed systems and proposes solutions, both in terms of theoretical aspects such as models and workflow scheduling algorithms, and technical...

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• The complexity of bicriteria tree-depth

  Publikacja

  • P. Borowiecki
  • D. Dereniowski
  • D. Urbańska

  - THEORETICAL COMPUTER SCIENCE - Rok 2023

  The tree-depth problem can be seen as finding an elimination tree of minimum height for a given input graph G. We introduce a bicriteria generalization in which additionally the width of the elimination tree needs to be bounded by some input integer b. We are interested in the case when G is the line graph of a tree, proving that the problem is NP-hard and obtaining a polynomial-time additive 2b-approximation algorithm. This particular...

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• Behavior Analysis and Dynamic Crowd Management in Video Surveillance System

  Publikacja

  • M. Szczodrak
  • J. Kotus
  • K. Kopaczewski
  • K. Łopatka
  • A. Czyżewski
  • H. Krawczyk

  - Rok 2011

  A concept and practical implementation of a crowd management system which acquires input data by the set of monitoring cameras is presented. Two leading threads are considered. First concerns the crowd behavior analysis. Second thread focuses on detection of a hold-ups in the doorway. The optical flow combined with soft computing methods (neural network) is employed to evaluate the type of crowd behavior, and fuzzy logic aids detection...

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• Three levels of fail-safe mode in MPI I/O NVRAM distributed cache

  Publikacja

  • A. Malinowski
  • P. Czarnul

  - Procedia Computer Science - Rok 2018

  The paper presents architecture and design of three versions for fail-safe data storage in a distributed cache using NVRAM in cluster nodes. In the first one, cache consistency is assured through additional buffering write requests. The second one is based on additional write log managers running on different nodes. The third one benefits from synchronization with a Parallel File System (PFS) for saving data into a new file which...

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• Pipelined Two-Operand Modular Adders

  Publikacja

  • M. Czyżak
  • J. Horiszny
  • R. Smyk

  - RADIOENGINEERING - Rok 2015

  Pipelined two-operand modular adder (TOMA) is one of basic components used in digital signal processing (DSP) systems that use the residue number system (RNS). Such modular adders are used in binary/residue and residue/binary converters, residue multipliers and scalers as well as within residue processing channels. The structure of pipelined TOMAs is usually obtained by inserting an appropriate number of pipeline register layers within...

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• Image Processing Techniques for Distributed Grid Applications

  Publikacja

  • P. Brudło

  - Rok 2012

  Parallel approaches to 2D and 3D convolution processing of series of images have been presented. A distributed, practically oriented, 2D spatial convolution scheme has been elaborated and extended into the temporal domain. Complexity of the scheme has been determined and analysed with respect to coefficients in convolution kernels. Possibilities of parallelisation of the convolution operations have been analysed and the results...