Výsledky vyhľadávania - "Distributed and Parallel Processing"

Parallel Processing Distributed-Memory Approach Influences on Performance of Multicomputer-Multicore Systems Using Single-Process Single-Thread

Autori: Dildar Masood Abdulqader Subhi R. M. Zeebaree Rizgar R. Zebari a ďalší

Zdroj: Wasit Journal of Engineering Sciences, Vol 12, Iss 1 (2024)

Predmety: Distributed system, parallel processing, process/threads monitoring, process/threads controlling, Architectural engineering. Structural engineering of buildings, TH845-895, Environmental engineering, Electrical engineering. Electronics. Nuclear engineering, TA170-171, TK1-9971

Prístupová URL adresa: https://doaj.org/article/df748059e78c4e4bbd8785cc7ae6005b

ParSCL: A Parallel and Distributed Framework to Process All Nearest Neighbor Queries on a Road Network

Autori: Aavash Bhandari Prince Hamandawana Muhammad Attique a ďalší

Zdroj: IEEE Access, Vol 11, Pp 94043-94056 (2023)

Predmety: All nearest neighbor queries, spatial query processing, Electrical engineering. Electronics. Nuclear engineering, distributed and parallel processing, TK1-9971

Prístupová URL adresa: https://doaj.org/article/a8c1ae04b9324f469ebc83ee08aa8c73

MonARCh: an actor based architecture for dynamic linked data monitoring

Autori: Burak Yönyül Oylum Alatlı Rıza Cenk Erdur

Zdroj: PeerJ Computer Science, Vol 10, p e2133 (2024)

Predmety: Query monitoring, SPARQL, Linked data, Scalability, Distributed and parallel processing, Concurrent computation, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: https://peerj.com/articles/cs-2133.pdf; https://peerj.com/articles/cs-2133/; https://doaj.org/toc/2376-5992

Prístupová URL adresa: https://doaj.org/article/95d2d0a967044bd4bf70ceda0823ed38

Curative Treatment of Type 1 Diabetes through the Regeneration of Pancreatic β-Cells without the Necessity of Immune Suppression via Hamzah Model

Autori: JALALI, SEYED RASOUL

Predmety: ψ–Hamzah Model, Quantum biology, Multiscale modelling, Fractal derivatives, Complex integral, Type 1 Diabetes, β-cell regeneration, Immunotherapy, Regenerative medicine, Autoimmunity, Computational biology, Quantum tunnelling, Genetic mutations, Epigenetics, Proteomics, Transcriptomics, Metabolomics, Nanomedicine, Quantum nanocarriers, Targeted therapy, Controlled release, Drug delivery, Systems biology, Artificial intelligence, Deep learning, Machine learning, Gradient boosting, Neural networks, Quantum coherence, Quantum entanglement, Stochastic resonance, HPC simulation, Monte Carlo methods, Multidimensional modelling, Systems pharmacology, Computational immunology, Biomedical engineering, Synthetic biology, Precision medicine, Translational medicine, Clinical trials, In vitro, In vivo, Bioinformatics, Structural biology, Pharmacogenomics, Pharmacodynamics, Pharmacokinetics, Systems neuroscience, Molecular dynamics, Quantum mechanics, Immunometabolism, Genomic stability, Protein folding, Enzyme kinetics, Biostatistics, Evolutionary biology, Adaptive immunity, Innate immunity, Cytokine regulation, T-cell activation, B-cell response, Antibody production, Autoimmune disorders, Metabolic disorders, Oncology, Cancer immunotherapy, Tumour microenvironment, Genetic resilience, Stem cell therapy, Pancreatic regeneration, Islet transplantation, Insulin regulation, Glucose metabolism, Epigenetic modulation, Quantum drug design, Multiscale integration, Pathophysiology, Biomarker discovery, Predictive modelling, Data-driven medicine, Quantum optimisation, Evolutionary algorithms, Differential equations, Fractional calculus, Mathematical biology, Computational oncology, Nano-bio interface, Tissue engineering, Bio-nanotechnology, Quantum-enhanced imaging, Molecular coherence, Protein dynamics, Gene regulation, Immune checkpoints, CRISPR therapy, Synthetic vaccines, mRNA vaccines, DNA vaccines, Nanoparticle vaccines, Bioinformatics pipeline, Systems genetics, High-throughput sequencing, Next-generation sequencing, Clinical bioinformatics, Medical nanotechnology, Computational chemistry, Structural genomics, Multilayer networks, Quantum field theory, Topological biology, Complex adaptive systems, Algorithmic medicine, Biomedical signal processing, Omics integration, Multi-omics analysis, Biomedical nanodevices, Gene–environment interactions, Regenerative nanotechnology, Molecular regeneration, Pancreatic stem cells, Tissue microenvironment, Drug resistance, Chemoresistance, Adaptive mutations, Genetic diversity, Epistasis, Bio-quantum mechanics, Biophysical modelling, Nano-drug conjugates, Immuno-nanocarriers, AI-driven simulations, Pharmacological safety, Side-effect minimisation, Ultra-low toxicity, Immune modulation, Biocompatibility, Pharmacogenetics, Immune tolerance, Adaptive modelling, Disease modelling, Supercomputing in medicine, Distributed computing, Parallel processing, HPC biology, Computational drug design, Quantum therapeutic systems, Nano-lipid carriers, Lipid nanoparticles, Quantum neural networks, Multiscale simulations, Physiological modelling, Mathematical immunology, Kinetic modelling, Nonlinear dynamics, Biological complexity, Self-organisation, Systems resilience, Cancer modelling, Diabetes modelling, Hybrid modelling, Immune network dynamics, Metabolic pathways, Protein–protein interactions, Bioinspired systems, Nanostructured carriers, Drug encapsulation, Long-term stability, Biopharmaceuticals, Nano-bioinformatics, Systems vaccinology, Antigen design, Adjuvant systems, Vaccine efficacy, Immunological safety, Toxicity minimisation, Cross-species trials, In silico medicine, Computational validation, Biomaterial design, Multi-target therapy, AI-driven drug discovery, Virtual screening, Pharmacophore modelling, Quantum-informed AI, Deep bioinformatics, Hybrid quantum–classical models, Integrated quantum simulation, Systems-level validation, Risk prediction, Immune homeostasis, Endocrine regulation, β-cell proliferation, Insulin homeostasis, Autoimmune suppression, Non-suppressive therapy, Drug synergy, Molecular docking, Binding affinity, Genomic mapping, Epigenomic regulation, Molecular signalling, Bio-signal analysis, High-resolution imaging, Adaptive algorithms, AI in oncology, AI in immunology, Digital twins in medicine, Patient-specific modelling, Clinical AI, Ethical AI in medicine, AI-driven predictions, Autonomous medicine, Computational ethics, Quantum-enhanced diagnostics, Medical robotics, Biophysical AI, Advanced biomaterials, Programmable matter, AI nanomedicine, Regenerative AI, Nanobiosensors, Smart drug delivery, AI-vaccine design, Molecular vaccinology, Therapeutic modelling, Quantum vaccines, Disease eradication modelling, Immune resilience, Genetic safety, Systems stability, Therapy optimisation, Adverse effect prediction, Multi-scale stochasticity, Global health AI, Pandemic modelling, Epidemiological AI, Therapeutic scaling, Adaptive clinical models, Robustness in therapy, Resilience in medicine, Longitudinal modelling, Chronic disease modelling, Metabolic resilience, Neuroimmunology, Psychoneuroimmunology, Cognitive AI in medicine, AI in endocrinology, Quantum molecular biology, Hybrid systems medicine, AI pharmacology, Predictive toxicology, Nanotoxicology, Toxicity mitigation, Cross-disciplinary medicine, Advanced AI algorithms, Evolutionary computation, Quantum fractals, Complex fractal modelling, Fractional kinetics, Biocomplexity, Metabolic systems analysis, Energy stability metrics, ψ–Hamzah equation, ψ–Hamzah framework, Quantum-biological systems, Quantum-immune interaction, Quantum metabolic modelling, Multilayer immunology, Computational vaccine design, Advanced therapeutic framework, AI-based biomarker prediction, Genomic prediction, Clinical data mining, Federated AI in medicine, HPC-AI hybrid, Neuromorphic medicine, Cognitive nanotechnology, Quantum secure health systems, Blockchain in medicine, Secure biomedical AI, Ethical data-driven therapy, Scalable quantum simulation, AI-enhanced nanocarriers, Self-learning medicine, AI self-adaptive therapy, Clinical decision AI, Systems resilience modelling, Bioethical simulations, Immune equilibrium, Cellular regeneration, Tissue repair, Organ-level modelling, Holistic disease modelling, Quantum biological integration, Mathematical oncology, Fractional immunology, Regenerative pharmacology, Nonlinear regenerative medicine, Robust computational frameworks, Advanced Python biomedical code, HPC validation, Quantum-resistant modelling, Drug mutation resistance, Genetic robustness, Autoimmune resilience, Multidimensional simulations, Nanocarrier pharmacokinetics, Quantum dosing strategies, Regenerative vaccine design, Therapeutic AI frameworks, Next-gen biomedical models, Quantum-enhanced therapy, HPC biomedical simulations, 1 trillion scenarios modelling, Perfected therapy validation, ψ–Hamzah validation, Translational quantum medicine, World-leading biomedical innovation

Clustering in the Big Data Era: methods for efficient approximation, distribution, and parallelization

Autori: Keramatian, Amir, 1990

Zdroj: Molnbaserade produkter och produktion (FiC).

Predmety: Clustering, Approximation-based synopsis, Distributed and Parallel Processing, Applied ML

Popis súboru: electronic

Prístupová URL adresa: https://research.chalmers.se/publication/529425
https://research.chalmers.se/publication/529425/file/529425_Fulltext.pdf

Towards Distributed Mobile Computing

Autori: MASSARI, GIUSEPPE ZANELLA, MICHELE FORNACIARI, WILLIAM

Zdroj: 2016 Mobile System Technologies Workshop (MST). :29-35

Predmety: Mobile applications, Distributed computing, Mobile computing, Distributed systems, Parallel processing, Pervasive computing, Middleware, Software systems, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Popis súboru: application/pdf

Prístupová URL adresa: https://re.public.polimi.it/bitstream/11311/1027483/1/07946330.pdf
https://ieeexplore.ieee.org/document/7946330/
https://re.public.polimi.it/handle/11311/1027483
https://re.public.polimi.it/bitstream/11311/1027483/1/07946330.pdf
https://hdl.handle.net/11311/1027483
https://doi.org/10.1109/MST.2016.13

RIDE: real-time massive image processing platform on distributed environment

Autori: Yoon-Ki Kim Yongsung Kim Chang-Sung Jeong

Zdroj: EURASIP Journal on Image and Video Processing, Vol 2018, Iss 1, Pp 1-13 (2018)

Predmety: Real-time, Image processing, Distributed and parallel processing, Heterogeneous computing, Electronics, TK7800-8360

Popis súboru: electronic resource

Relation: http://link.springer.com/article/10.1186/s13640-018-0279-5; https://doaj.org/toc/1687-5281

Prístupová URL adresa: https://doaj.org/article/5619810b9c744315b6fba32b1cb16cfa

Efficient Approximate Big Data Clustering: Distributed and Parallel Algorithms in the Spectrum of IoT Architectures

Autori: Keramatian, Amir, 1990

Zdroj: Molnbaserade produkter och produktion (FiC).

Predmety: Approximation-based synopsis, Clustering, distributed and parallel processing

Popis súboru: electronic

Prístupová URL adresa: https://research.chalmers.se/publication/514574
https://research.chalmers.se/publication/514574/file/514574_Fulltext.pdf

Data Preparation as a Service Based on Apache Spark

Autori: Mahasivam, Nivethika Nikolov, Nikolay Sukhobok, Dina a ďalší

Prispievatelia: Mahasivam, Nivethika Nikolov, Nikolay Sukhobok, Dina a ďalší

Zdroj: Lecture Notes in Computer Science ; 6th European Conference on Service-Oriented and Cloud Computing (ESOCC) ; https://inria.hal.science/hal-01677626 ; 6th European Conference on Service-Oriented and Cloud Computing (ESOCC), Sep 2017, Oslo, Norway. pp.125-139, ⟨10.1007/978-3-319-67262-5_10⟩

Predmety: Distributed data parallel processing, Apache Spark, Big data preparation, Interactive data preparation, [INFO]Computer Science [cs]

Geografické téma: Oslo, Norway

Dostupnosť: https://inria.hal.science/hal-01677626
https://inria.hal.science/hal-01677626v1/document
https://inria.hal.science/hal-01677626v1/file/449571_1_En_10_Chapter.pdf
https://doi.org/10.1007/978-3-319-67262-5_10

Complexity Analysis of Multilayer Perceptron Neural Network Embedded into a Wireless Sensor Network

Autori: Zhenning Gao Gursel Serpen

Zdroj: Procedia Computer Science. 36:192-197

Predmety: wireless sensor network, computational complexity, Distributed and parallel processing, multilayer perceptron neural network, 0202 electrical engineering, electronic engineering, information engineering, communication complexity, 02 engineering and technology

Prístupová URL adresa: https://www.sciencedirect.com/science/article/pii/S1877050914013271
https://cyberleninka.org/article/n/1312688
http://www.sciencedirect.com/science/article/pii/S1877050914013271
https://doi.org/10.1016/j.procs.2014.09.078
https://dblp.uni-trier.de/db/conf/complexsystems/complexsystems2014.html#SerpenG14
https://core.ac.uk/display/82200790

A Review of the Distributed Methods for Large-Scale Social Network Analysis

Autori: Mohsen Kahani Saeid Abrishami Fattane Zarrinkalam

Zdroj: International Journal of Information and Communication Technology Research, Vol 6, Iss 3, Pp 53-61 (2014)

Predmety: network analysis, distributed and parallel processing, large-scale graph processing, Information technology, T58.5-58.64, Telecommunication, TK5101-6720, Electronic computers. Computer science, QA75.5-76.95

Popis súboru: electronic resource

Relation: http://ijict.itrc.ac.ir/article-1-123-en.html; https://doaj.org/toc/2251-6107; https://doaj.org/toc/2783-4425

Prístupová URL adresa: https://doaj.org/article/bdfabe386e3246d7b90399b1d6f6fc53

GPU-based parallel real-time volt/var optimisation for distribution network considering distributed generators

Autori: Shengjun Huang, Venkata Dinavahi

Predmety: volt/var optimization, Graphics processors, volt/var optimization, distribution networks, distributed generators, parallel processing, distribution networks, parallel processing, Graphics processors, distributed generators

FTK: A Simplicial Spacetime Meshing Framework for Robust and Scalable Feature Tracking

Autori: Guo, Hanqi Lenz, David Xu, Jiayi a ďalší

Zdroj: Computer Science Faculty Research & Creative Works

Predmety: Critical Points, Distributed and Parallel Processing, Faces, Feature Extraction, Feature Tracking, Isosurfaces, Parallel Processing, Spacetime Meshing, Three-Dimensional Displays, Topology, Tracking, Vortices, Computer Sciences

Relation: https://scholarsmine.mst.edu/comsci_facwork/1132; https://doi.org/10.1109/TVCG.2021.3073399

Dostupnosť: https://scholarsmine.mst.edu/comsci_facwork/1132
https://doi.org/10.1109/TVCG.2021.3073399

Mecanismos de suporte ao escalonamento em sistemas com objetos distribuídos Java

Autori: Geyer, Cláudio Fernando Resin Silva, Luciano da Augustin, Iara a ďalší

Predmety: Ciencias Informáticas, Scheduling, Distributed, Parallel processing, Concurrent Programming, escalonamento na Programação Orientada à Objetos, escalonamento em Sistemas Distribuídos e Paralelos e Programação Distribuída e Paralela com Java, distributed and parallel processing, distributed objects scheduling, Java

Popis súboru: application/pdf

Relation: http://sedici.unlp.edu.ar/handle/10915/23306

Dostupnosť: http://sedici.unlp.edu.ar/handle/10915/23306

Implementation and Experiments on Distributed Ensemble Learning System (DELS) With Several Partitioning Methods and Classifiers

Autori: Zamani, Azadeh Chefranov, Alexander (Supervisor)

Prispievatelia: Zamani, Azadeh Chefranov, Alexander (Supervisor)

Predmety: Computer Engineering Department, parallel processing, neural network, Distributed systems, parallel processing, ensemble learning, bagging, classification, decision tree, neural network, disjoint partition, disjoint partition, Distributed systems, bagging, Web databases - Big Data - Machine Learning, classification, decision tree, ensemble learning, Data Mining, Information storage and retrieval systems - Computer science

Prístupová URL adresa: https://hdl.handle.net/11129/6211

Adaptive Information Visualization for Maritime Traffic Stream Sensor Data with Parallel Context Acquisition and Machine Learning

Autori: Kwang-il Kim Keon Myung Lee

Zdroj: Sensors (Basel)
Sensors
Volume 19
Issue 23

Predmety: maritime traffic stream sensor data, big data, 0202 electrical engineering, electronic engineering, information engineering, stream data, context-aware service, 02 engineering and technology, distributed and parallel processing, 7. Clean energy, vessel traffic service, Article

Popis súboru: application/pdf

Prístupová URL adresa: https://www.mdpi.com/1424-8220/19/23/5273/pdf
https://pubmed.ncbi.nlm.nih.gov/31795498

Spark on Kubernetes using HopsFS as a backing store : Measuring performance of Spark with HopsFS for storing and retrieving shuffle files while running on Kubernetes

Autori: Saini, Shivam

Predmety: Spark, Kubernetes, HopsFS, Data processing, Distributed and Parallel processing, Computer and Information Sciences, Data- och informationsvetenskap

Popis súboru: application/pdf

Relation: TRITA-EECS-EX ; 2020:791

Dostupnosť: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-285561

TACO -- Template Based Collections for Distributed Computing Platforms

Autori: Jörg Nolte Mitsuhisa Sato Yutaka Ishikawa a ďalší

Prispievatelia: Jörg Nolte Mitsuhisa Sato Yutaka Ishikawa a ďalší

Zdroj: http://www.first.gmd.de/~jon/papers/hpca00nolte.ps.gz.

Predmety: collections, distributed data-parallel processing, global communication

Popis súboru: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.4845; http://www.first.gmd.de/~jon/papers/hpca00nolte.ps.gz

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.22.4845
http://www.first.gmd.de/~jon/papers/hpca00nolte.ps.gz

Motion planning in dynamic environments - A parallel online approach

Autori: Wörn, Heinz Henrich, Dominik Wurll, Christian

Predmety: AG-RESY, PARO, SKALP, industrial robots, motion planning, on-line algorithms, distributed and parallel processing, search algorithms, ddc:004

Popis súboru: application/pdf

Relation: https://kluedo.ub.rptu.de/frontdoor/index/index/docId/1020; https://kluedo.ub.rptu.de/files/1020/no_series_271.pdf

Dostupnosť: https://kluedo.ub.rptu.de/frontdoor/index/index/docId/1020
https://nbn-resolving.org/urn:nbn:de:hbz:386-kluedo-9743
https://kluedo.ub.rptu.de/files/1020/no_series_271.pdf

The Operator Design Pattern Application to Parallel Computation

Autori: Jean-Lin Pacherie The Pennsylvania State University CiteSeerX Archives

Prispievatelia: Jean-Lin Pacherie The Pennsylvania State University CiteSeerX Archives

Zdroj: http://www.cs.wustl.edu/~schmidt/PLoP-96/jezequel.ps.gz.

Predmety: Distributed and parallel processing

Popis súboru: application/postscript

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.50.1158

Dostupnosť: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.50.1158
http://www.cs.wustl.edu/~schmidt/PLoP-96/jezequel.ps.gz