Search Results - "Parallel and distributed computing"

Integrating blockchain technology into the seafood sector

Authors: Jagtap, Sandeep Batwa, Abbas de Waal, Jennifer Mignonne et al.

Contributors: Jagtap, Sandeep Batwa, Abbas de Waal, Jennifer Mignonne et al.

Source: Seafood. (1):105-136

Subject Terms: Agricultural and Veterinary sciences, Agriculture, Forestry and Fisheries, Fish and Aquacultural Science (including Fish farming, Fish Genetics, Fish Ethology), Lantbruksvetenskap och veterinärmedicin, Jordbruk, skogsbruk och fiske, Fisk- och akvakulturforskning (Här ingår: Fiskodling, fiskgenetik, fisketologi), Natural Sciences, Computer and Information Sciences, Networked, Parallel and Distributed Computing, Naturvetenskap, Data- och informationsvetenskap (Datateknik), Nätverks, parallell- och distribuerad beräkning

File Description: electronic

Access URL: https://lucris.lub.lu.se/ws/files/229551435/9780443337512_removed_1_.pdf

Optimization of resource-aware parallel and distributed computing: a review

Authors: Czarnul, Pawel Antal, Marcel Baniata, Hamza et al.

Source: Journal of Supercomputing. 81(7)

Subject Terms: Review of resource-aware parallel and distributed computing, Parallel and distributed architectures, Parallel and distributed computing, Optimization

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-213688
https://doi.org/10.1007/s11227-025-07295-7

Convergence of deep learning and high performance computing: challenges and solutions

Authors: Njoroge Kahira, Albert

Contributors: University/Department: Universitat Politècnica de Catalunya. Departament d'Arquitectura de Computadors

Thesis Advisors: Badia Sala, Rosa Maria, Bautista Gomez, Leonardo

Source: TDX (Tesis Doctorals en Xarxa)

Subject Terms: Machine learning, High performance computing, Parallel and distributed computing, Àrees temàtiques de la UPC::Informàtica

File Description: application/pdf

Access URL: http://hdl.handle.net/10803/672417
https://dx.doi.org/10.5821/dissertation-2117-351667

Implementing Holographic Reduced Representations for Spiking Neural Networks

Authors: Vidura Sumanasena Daswin de Silva Evgeny Osipov et al.

Source: IEEE Access, Vol 13, Pp 116606-116620 (2025)

Subject Terms: Nätverks-, parallell- och distribuerad beräkning, Datavetenskap (datalogi), Networked, Parallel and Distributed Computing, vector symbolic architecture (VSA), Computer Sciences, Electrical engineering. Electronics. Nuclear engineering, Spiking neural networks (SNN), holographic reduced representations, neuromorphic computing, TK1-9971

File Description: application/pdf

Access URL: https://doaj.org/article/eedf449fbc544bd8a26ef91680bd532a
http://urn.kb.se/resolve?urn=urn:nbn:se:ltu:diva-114170

Causal models for specifying requirements in industrial ML-based software: A case study

Authors: Heyn, Hans-Martin Mao, Yufei Weiß, Roland et al.

Source: Journal of Systems and Software. 232

Subject Terms: Power Systems and Components, Elkraftsystem och -komponenter, Artificial Intelligence, Artificiell intelligens, Networked, Parallel and Distributed Computing, Nätverks, parallell- och distribuerad beräkning, Software Engineering, Programvaruteknik, Anomaly detection, Causal analysis, Causality, Industrial systems, Machine learning, Requirement engineering, Systems engineering

Access URL: https://gup.ub.gu.se/publication/356199

Low Complexity SLP: An Inversion-Free, Parallelizable ADMM Approach

Authors: Junwen Yang Ang Li Xuewen Liao et al.

Source: IEEE Transactions on Wireless Communications. 23:12424-12439

Subject Terms: Massive MU-MISO, FOS: Computer and information sciences, 0508 media and communications, Computer Science - Information Theory, Information Theory (cs.IT), power minimization, 05 social sciences, symbol-level precoding, 0202 electrical engineering, electronic engineering, information engineering, parallel and distributed computing, 02 engineering and technology, constructive interference, ADMM

Access URL: http://arxiv.org/abs/2209.12369
https://discovery-pp.ucl.ac.uk/id/eprint/10192370/

Double Averaging and Gradient Projection: Convergence Guarantees for Decentralized Constrained Optimization

Authors: Shahriari-Mehr, Firooz Panahi, Ashkan

Source: IEEE Transactions on Automatic Control. 70:3433-3440

Subject Terms: Networked, Parallel and Distributed Computing, Nätverks, parallell- och distribuerad beräkning, Computer Sciences, Datavetenskap (datalogi), Constrained optimization, convergence analysis, convex optimization, distributed optimization

Access URL: https://gup.ub.gu.se/publication/350004

A Generalized Selectively Relaxed Matrix Splitting Preconditioning Strategy for Three-Dimensional Flux-Limited Multi-Group Radiation Diffusion Equations: A generalized selectively relaxed matrix splitting preconditioning strategy for three-dimensional flux-limited multi-group radiation diffusion equations

Authors: Yue, Xiaoqiang Xia, Sheng Chen, Chunyan et al.

Source: Numerical Mathematics: Theory, Methods and Applications. 17:630-657

Subject Terms: Multigrid methods, domain decomposition for boundary value problems involving PDEs, algebraic multigrid, matrix splitting preconditioning, Finite volume methods for boundary value problems involving PDEs, radiation diffusion equations, Preconditioners for iterative methods, Parallel numerical computation, selective relaxation, parallel and distributed computing

File Description: application/xml

Evaluating Trust-Related Principles in an Implemented Distributed Edge AI System

Authors: Ericson, Amanda Gaber, Abubaker Heil, Sebastian et al.

Subject Terms: AI, Trustworthy AI, Distributed systems, Edge AI, Federated Learning, Intrusion detection, Artificial Intelligence, Artificiell intelligens, Computer Sciences, Datavetenskap (datalogi), Networked, Parallel and Distributed Computing, Nätverks-, parallell- och distribuerad beräkning

File Description: application/pdf

Relation: 20th Swedish National Computer Networking and Cloud Computing Workshop (SNCNW 2025)

Availability: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-55206

Product collaborative filtering based recommendation systems for large-scale E-commerce

Authors: Trang Trinh Van-Ho Nguyen Nghia Nguyen et al.

Source: International Journal of Information Management Data Insights, Vol 5, Iss 1, Pp 100322- (2025)

Subject Terms: Apache spark, Collaborative filtering, E-commerce, Large-scale, Parallel and distributed computing, Recommendation systems, Information technology, T58.5-58.64

File Description: electronic resource

Relation: http://www.sciencedirect.com/science/article/pii/S2667096825000047; https://doaj.org/toc/2667-0968

Access URL: https://doaj.org/article/0755893e659e4224888d98140f991da8

Survey of Adaptive Elastic Scaling Studies on Distributed Service Resources

Authors: HU Cheng, CHEN Shihong

Source: Jisuanji kexue yu tansuo, Vol 18, Iss 10, Pp 2551-2572 (2024)

Subject Terms: parallel and distributed computing, distributed service resources, resource management and allocation, adaptive elastic scaling, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: http://fcst.ceaj.org/fileup/1673-9418/PDF/2312034.pdf; https://doaj.org/toc/1673-9418

Access URL: https://doaj.org/article/279c8d5ea9ae496aaee5cd6a0711eaa5

Effects of network topology on the performance of consensus and distributed learning of SVMs using ADMM

Authors: Tavara, Shirin Schliep, Alexander

Source: PeerJ Computer Science. 7

Subject Terms: Data Mining and Machine Learning, Distributed and Parallel Computing, Network Science and Online Social Networks, Machine learning, Parallel and distributed computing, SVMs, ADMM, Expander graphs, Distributed optimization, Convergence

File Description: electronic

Access URL: https://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-21403
https://doi.org/10.7717/peerj-cs.397

Task scheduling and resource allocation on parallel and distributed machines

Authors: Ke, Chong Sakellariou, Rizos

Contributors: Ke, Chong Sakellariou, Rizos

Subject Terms: parallel amd distributed computing, task scheduling

Access URL: https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.878717

Bag of little bootstraps for massive and distributed longitudinal data

Authors: Zhou, Xinkai Zhou, Jin J Zhou, Hua

Source: Statistical Analysis and Data Mining The ASA Data Science Journal. 15(3)

Subject Terms: Mathematical Sciences, Statistics, Generic health relevance, bags of little bootstraps, big data, EMR, linear mixed models, longitudinal data, parallel and distributed computing, Data management and data science

File Description: application/pdf

Access URL: https://escholarship.org/uc/item/87x1069w
https://escholarship.org/content/qt87x1069w/qt87x1069w.pdf

A systematic review of the literature on methods and technologies for teaching parallel and distributed computing in universities

Authors: Yuriy Sitsylitsyn

Source: Ukrainian Journal of Educational Studies and Information Technology, Vol 11, Iss 2 (2023)

Subject Terms: distributed computing, parallel programming, LC8-6691, teaching parallel and distributed computing, Electronic computers. Computer science, 4. Education, 0202 electrical engineering, electronic engineering, information engineering, QA75.5-76.95, 02 engineering and technology, Special aspects of education

Access URL: https://doaj.org/article/d604833b856a4154956cf725f3ee696b

Fenics: A Modular Framework for Security Evaluation in Decentralized Federated Learning

Authors: Saha, Shubham Nova, Sifat Nawrin Duvignau, Romaric et al.

Source: DEBS 2025 - Proceedings of the 19th ACM International Conference on Distributed and Event-Based Systems. :146-151

Subject Terms: Security, Privacy and Cryptography, Säkerhet, integritet och kryptologi, Networked, Parallel and Distributed Computing, Nätverks, parallell- och distribuerad beräkning, Computer Sciences, Datavetenskap (datalogi), Convergence, Decentralized Federated Learning, Framework, Malicious nodes

Access URL: https://gup.ub.gu.se/publication/353795

Kahoot vs. Mentimeter for Active Learning in Computer and Engineering Education - Who Won? Who's Next?

Authors: Duvignau, Romaric, 1989

Source: Annual Conference on Innovation and Technology in Computer Science Education, ITiCSE. :214-220

Subject Terms: Networked, Parallel and Distributed Computing, Nätverks, parallell- och distribuerad beräkning, Computer Sciences, Datavetenskap (datalogi), Pedagogy, Pedagogik, active learning (al), gamification, kahoot, mentimeter, quiz-based learning, student engagement

Access URL: https://gup.ub.gu.se/publication/353798

FEDAMON: A Forecast-Based, Error-Bounded and Data-Aware Approach to Continuous Distributed Monitoring

Authors: Zhang, Yixing Duvignau, Romaric

Source: DEBS 2025 - Proceedings of the 19th ACM International Conference on Distributed and Event-Based Systems. :39-50

Subject Terms: Networked, Parallel and Distributed Computing, Nätverks, parallell- och distribuerad beräkning, Computer Sciences, Datavetenskap (datalogi), continuous monitoring, data-aware approaches, distributed data streams, distributed tracking, network monitoring

Access URL: https://gup.ub.gu.se/publication/353796

Effective Treatment of Drug-Resistant Cancers (Pancreatic, Glioblastoma, Metastatic) — Vaccine and Drug Development through the Hamzah Model

Authors: JALALI, SEYED RASOUL

Subject Terms: cancer, oncology, drug resistance, multidrug resistance, tumour heterogeneity, pancreatic cancer, glioblastoma, metastatic cancer, resistant tumours, adaptive resistance, tumour relapse, chemotherapy, radiotherapy, immunotherapy, targeted therapy, nanomedicine, nanotechnology, nanoparticle drug delivery, liposomal delivery, lipid nanoparticles, PLGA nanoparticles, PEGylated nanoparticles, controlled release, targeted release, tumour microenvironment, hypoxia, angiogenesis, vascularisation, tumour stem cells, immune evasion, T–cell activation, CTL response, Th1 induction, immune checkpoint inhibition, PD–1, PD–L1, CTLA–4, CAR–T therapy, NK cells, macrophages, dendritic cells, adaptive immunity, innate immunity, cytokines, interleukins, interferons, chemokines, tumour–associated macrophages, tumour infiltrating lymphocytes, tumour–associated fibroblasts, stromal interactions, tumour signalling, EGFR resistance, PI3K/AKT pathway, MAPK pathway, mTOR signalling, tyrosine kinase inhibition, DNA repair mechanisms, homologous recombination, non–homologous end joining, mismatch repair, DNA repair overdrive, genomic instability, chromosomal instability, mutational landscape, oncogenic mutations, tumour suppressor loss, TP53, BRCA1, BRCA2, KRAS, NRAS, BRAF, EGFR mutations, HER2 amplification, MYC activation, cell cycle dysregulation, apoptosis evasion, senescence bypass, autophagy regulation, metabolic rewiring, Warburg effect, glycolysis, oxidative phosphorylation, mitochondrial dysfunction, lactate export, pH regulation, proton transporters, ion channels, tumour acidity, ROS signalling, redox balance, antioxidant defences, glutathione, thioredoxin, peroxiredoxin, ferroptosis, necroptosis, pyroptosis, cell death pathways, fractional calculus, fractal derivatives, fractional order models, complex integration, multiscale integration, matter–energy transformation, quantum biology, quantum noise, stochastic modelling, chaos theory, bifurcation analysis, attractors, strange attractors, phase transitions, metastability, dynamic equilibrium, complex adaptive systems, systems biology, integrative modelling, computational oncology, mathematical oncology, bioinformatics, omics integration, genomics, transcriptomics, proteomics, metabolomics, epigenomics, pharmacogenomics, pharmacokinetics, pharmacodynamics, PK–PD modelling, absorption, distribution, metabolism, excretion, clearance, plasma volume, bioavailability, half–life, dose–response, EC50, IC50, Emax, Hill coefficient, drug synergy, drug antagonism, combination therapy, polytherapy, cocktail therapy, adaptive dosing, dose escalation, therapeutic window, therapeutic index, off–target effects, side effect minimisation, toxicity reduction, safety margin, quality of life, survival rate, progression–free survival, overall survival, relapse–free survival, clinical trials, preclinical trials, in vivo models, in vitro models, xenografts, organoids, patient–derived xenografts, spheroids, co–culture systems, 3D models, microfluidics, lab–on–chip, organ–on–chip, bioreactors, lyophilisation, freeze drying, nanofabrication, nanocarriers, smart nanoparticles, responsive nanoparticles, stimuli–responsive release, pH–sensitive release, temperature–sensitive release, redox–sensitive release, enzyme–sensitive release, targeted ligands, antibodies, aptamers, peptides, folate targeting, transferrin targeting, EGFR targeting, HER2 targeting, integrins, RGD peptides, nuclear localisation, mitochondrial targeting, lysosomal escape, endosomal release, exosomes, extracellular vesicles, vesicular trafficking, clathrin mediated endocytosis, caveolin mediated endocytosis, macropinocytosis, receptor mediated endocytosis, intracellular trafficking, pharmacological modelling, biophysics, thermodynamics, statistical mechanics, entropy, enthalpy, free energy, Gibbs free energy, Helmholtz free energy, partition functions, state transitions, molecular dynamics, Monte Carlo simulations, lattice models, Ising model, spin systems, neural networks, deep learning, convolutional neural networks, recurrent neural networks, reinforcement learning, generative adversarial networks, variational autoencoders, XGBoost, random forest, decision trees, ensemble learning, predictive modelling, classification, regression, clustering, dimensionality reduction, PCA, t–SNE, UMAP, feature engineering, feature selection, biomarkers, predictive biomarkers, prognostic biomarkers, diagnostic biomarkers, liquid biopsy, circulating tumour DNA, circulating tumour cells, exosomal RNA, tumour markers, CA19–9, CEA, AFP, PSA, CA125, imaging biomarkers, radiomics, PET imaging, MRI, CT imaging, functional imaging, diffusion weighted imaging, perfusion imaging, metabolic imaging, nuclear imaging, image–guided therapy, image processing, signal processing, time series analysis, Fourier analysis, Laplace transforms, fractional Laplacian, differential equations, partial differential equations, integro–differential equations, fractional differential equations, boundary conditions, initial conditions, stability criteria, numerical analysis, discretisation, finite element analysis, spectral methods, operator theory, eigenvalues, eigenvectors, Hilbert space, Banach space, functional analysis, operator semigroups, semigroup theory, stochastic differential equations, Ito calculus, Stratonovich calculus, Langevin dynamics, Fokker–Planck equation, Kolmogorov equations, path integrals, quantum field theory, string theory, cosmological models, general relativity, special relativity, spacetime curvature, energy density, dark matter, dark energy, entropy flow, holographic principle, quantum entanglement, decoherence, superposition, wavefunction collapse, Schrödinger equation, Dirac equation, Heisenberg uncertainty, Planck constant, Boltzmann constant, Avogadro constant, dimensional analysis, scaling laws, renormalisation group, universality, critical phenomena, nonlinearity, nonlocality, long–range interactions, fractional Brownian motion, Lévy flights, anomalous diffusion, subdiffusion, superdiffusion, percolation theory, fractal geometry, Hausdorff dimension, Minkowski dimension, Cantor sets, Sierpinski structures, Koch curve, fractal networks, scale–free networks, small–world networks, network theory, graph theory, adjacency matrices, Laplacian matrices, spectral graph theory, network robustness, percolation threshold, epidemics on networks, cancer networks, signalling networks, metabolic networks, gene regulatory networks, protein–protein interaction networks, immune networks, dynamical networks, multiscale networks, hierarchical clustering, modularity, community detection, information theory, Shannon entropy, mutual information, Kullback–Leibler divergence, Jensen–Shannon divergence, complexity theory, algorithmic complexity, Kolmogorov complexity, Turing machines, computational complexity, NP–hard problems, optimisation, convex optimisation, non–convex optimisation, gradient descent, stochastic gradient descent, Adam optimiser, evolutionary algorithms, genetic algorithms, particle swarm optimisation, ant colony optimisation, simulated annealing, Bayesian optimisation, Markov chain Monte Carlo, Gibbs sampling, variational inference, probabilistic programming, causal inference, counterfactual analysis, sensitivity analysis, robustness analysis, uncertainty quantification, error propagation, variance reduction, surrogate modelling, reduced order models, high performance computing, parallel computing, distributed computing, GPU acceleration, CUDA programming, MPI, OpenMP, quantum computing, quantum algorithms, Grover's algorithm, Shor's algorithm, quantum annealing, quantum machine learning, hybrid quantum–classical models, future contingencies, scenario planning, stress testing, resilience modelling, adaptive systems, evolutionary dynamics, co–evolution, arms race, predator–prey models, ecological modelling, fitness landscapes, landscape ruggedness, adaptive peaks, valley crossing, tumour evolution, clonal evolution, immune surveillance, immune escape, therapeutic resistance, evolutionary game theory, replicator dynamics, Nash equilibria, evolutionary stable strategies, cancer ecosystems, tumour ecology, competition, cooperation, parasitism, resource allocation, niche construction, tumour dormancy, relapse mechanisms, latency, minimal residual disease, eradication thresholds, cure probability, survival probability, remission, remission durability, patient stratification, personalised medicine, precision medicine, systems oncology, integrative oncology, translational oncology, computational biomedicine, mathematical medicine, fractal oncology, ψ–Hamzah Equation, Hamzah model, Seyed Rasoul Jalali, ψ–Hamzah multiscale framework, ψ–Hamzah fractional–fractal derivative, ψ–Hamzah complex integration, ψ–Hamzah cancer resistance model, ψ–Hamzah pharmacokinetics, ψ–Hamzah pharmacodynamics, ψ–Hamzah adaptive dosing, ψ–Hamzah entropy analysis, ψ–Hamzah intelligence index, ψ–Hamzah validation, ψ–Hamzah field simulation, ψ–Hamzah therapeutic design, ψ–Hamzah vaccine, ψ–Hamzah drug, ψ–Hamzah intellectual property, ψ–Hamzah universal cure

Low Complexity SLP: An Inversion-Free, Parallelizable ADMM Approach

Authors: Yang, Junwen Li, Ang Liao, Xuewen et al.

Source: IEEE Transactions on Wireless Communications , 23 (9) 12424 -12439. (2024)

Subject Terms: Massive MU-MISO, constructive interference, symbol-level precoding, power minimization, ADMM, parallel and distributed computing

File Description: text

Relation: https://discovery.ucl.ac.uk/id/eprint/10192370/

Availability: https://discovery.ucl.ac.uk/id/eprint/10192370/1/Low_Complexity_SLP_An_Inversion-Free_Parallelizable_ADMM_Approach.pdf
https://discovery.ucl.ac.uk/id/eprint/10192370/