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Data-Intensive Computing in Smart Microgrids
| Data-Intensive Computing in Smart Microgrids |
| Autore | Herodotou Herodotos |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 |
| Descrizione fisica | 1 electronic resource (238 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
electricity load forecasting
smart grid feature selection Extreme Learning Machine Genetic Algorithm Support Vector Machine Grid Search AMI TL SG NB-PLC fog computing green community resource allocation processing time response time green data center microgrid renewable energy energy trade contract real time power management load forecasting optimization techniques deep learning big data analytics electricity theft detection smart grids electricity consumption electricity thefts smart meter imbalanced data data-intensive smart application cloud computing real-time systems multi-objective energy optimization renewable energy sources wind photovoltaic demand response programs energy management battery energy storage systems demand response scheduling automatic generation control single/multi-area power system intelligent control methods virtual inertial control soft computing control methods |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557603203321 |
Herodotou Herodotos
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Euro-Par 2023: Parallel Processing Workshops [[electronic resource] ] : Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 – September 1, 2023, Revised Selected Papers, Part I / / edited by Demetris Zeinalipour, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardellli, Pierangelo Di Sanzo
| Euro-Par 2023: Parallel Processing Workshops [[electronic resource] ] : Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 – September 1, 2023, Revised Selected Papers, Part I / / edited by Demetris Zeinalipour, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardellli, Pierangelo Di Sanzo |
| Autore | Zeinalipour Demetris |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (369 pages) |
| Disciplina |
621.39
004.6 |
| Altri autori (Persone) |
Blanco HerasDora
PallisGeorge HerodotouHerodotos TrihinasDemetris BalouekDaniel DiehlPatrick CojeanTerry FürlingerKarl KirkebyMaja Hanne |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer engineering
Computer networks Operating systems (Computers) Computer Engineering and Networks Operating Systems |
| ISBN | 3-031-50684-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | International Workshop on Scalable Compute Continuum (WSCC) -- Compute Continuum: What Lies Ahead? -- An Algorithm for Tunable Memory Compression of Time-Based Windows for Stream Aggregates -- Latency-aware Placement of Stream Processing Operators -- Scalable and Efficient Architecture for Random Forest on FPGA-based Edge Computing -- MTCL: a Multi-Transport Communication Library -- Towards a Scalable Compute Continuum platform applied to electrical energy forecasting -- Evaluation of Adaptive Micro-batching Techniques for GPU-accelerated Stream Processing -- TDLPP Workshop Preface -- Sparse-aware CARM: Rooflining locality of sparse computations -- Enhancing Performance Monitoring in C/C++ Programs with EDPM: A Domain-Specific Language for Performance Monitoring -- Leveraging HPC Profiling & Tracing Tools to Understand the Performance of Particle-in-Cell Monte Carlo Simulations -- Performance Prediction for Sparse Matrix Vector Multiplication using Structure-dependent Features -- Analyzing One-Sided Communication Using Memory Access Diagrams -- Preface QuickPar23 -- A Framework for Performance Optimization of Internet of Things Applications -- Streaming IoT Data and the Quantum Edge: A Classic/Quantum Machine Learning Use Case -- Dynamic Adaptation of Urgent Applications in the Edge-to-Cloud Continuum -- HeteroPar 2023 Preface -- Leveraging MLIR for Loop Vectorization and GPU Porting of FFT Libraries -- Enabling Dynamic Selection of Implementation Variants in Component-Based Parallel Programming for Heterogeneous Systems -- MassiveClicks: A Massively-parallel Framework for Efficient Click Models Training -- Sparse matrix-vector product for the bmSparse matrix format in GPUs -- Power Estimation Models for Edge Computing Devices -- A performance analysis of leading many-core technologies for Cellular Automata execution -- An approach to performance portability through generic programming -- Boosting the Performance of Object Tracking with a Half-Precision Particle Filter on GPU -- Tall-and-Skinny QR Factorization for Clusters of GPUs using High-Performance Building Blocks -- Scheduling Fork-Joins to Heterogeneous Processors -- jPackFaaS: Profiling Java Serverless Functions Deployment Package Size in Federated FaaS -- ExaNBody : a HPC framework for N-Body applications. |
| Record Nr. | UNINA-9910847580903321 |
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Zeinalipour Demetris
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Euro-Par 2023: Parallel Processing Workshops [[electronic resource] ] : Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 – September 1, 2023, Revised Selected Papers, Part II / / edited by Demetris Zeinalipour, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardellli, Pierangelo Di Sanzo
| Euro-Par 2023: Parallel Processing Workshops [[electronic resource] ] : Euro-Par 2023 International Workshops, Limassol, Cyprus, August 28 – September 1, 2023, Revised Selected Papers, Part II / / edited by Demetris Zeinalipour, Dora Blanco Heras, George Pallis, Herodotos Herodotou, Demetris Trihinas, Daniel Balouek, Patrick Diehl, Terry Cojean, Karl Fürlinger, Maja Hanne Kirkeby, Matteo Nardellli, Pierangelo Di Sanzo |
| Autore | Zeinalipour Demetris |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (347 pages) |
| Disciplina |
621.39
004.6 |
| Altri autori (Persone) |
Blanco HerasDora
PallisGeorge HerodotouHerodotos TrihinasDemetris BalouekDaniel DiehlPatrick CojeanTerry FürlingerKarl KirkebyMaja Hanne |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer engineering
Computer networks Operating systems (Computers) Computer Engineering and Networks Operating Systems |
| ISBN | 3-031-48803-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | The 2nd International Workshop on Resource AWareness of Systems and Society (RAW 2023) -- Performance and energy aware training of a deep neural network in a multi-GPU environment with power capping -- GPPRMon: GPU Runtime Memory Performance and Power Monitoring Tool -- Towards Resource-Efficient DNN Deployment for Traffic Object Recognition: From Edge to Fog -- The Implementation of Battery Charging Strategy for IoT Nodes -- subMFL: Compatible subModel Generation for Federated Learning in Device Heterogeneous Environment -- Towards a Simulation as a Service Platform for the Cloud-to-Things Continuum -- Cormas: The Software for Participatory Modelling and its Application for Managing Natural Resources in Senegal -- Asynchronous Many-Task systems for Exascale (AMTE) -- Malleable APGAS Programs and their Support in Batch Job Schedulers -- Task-Level Checkpointing for Nested Fork-Join Programs using Work Stealing -- Making Uintah Performance Portable for Department of Energy Exascale Testbeds -- Benchmarking the Parallel 1D Heat Equation Solver in Chapel, Charm++, C++, HPX, Go, Julia, Python, Rust, Swift, and Java -- PECS 2023 - 2-page report -- Parallel auto-scheduling of counting queries in machine learning applications on HPC systems -- Energy Efficiency Impact of Processing in Memory: A Comprehensive Review of Workloads on the UPMEM Architecture -- Enhancing Supercomputer Performance with Malleable Job Scheduling Strategies -- A Performance Modelling-driven Approach to Hardware Resource Scaling -- Applications and Benefits of UPMEM commercial Massively parallel Processing-In-Memory (PIM) Platform (ABUMPIMP) Minisymposium -- Adaptive HPC Input/Output Systems -- Dynamic Allocations in a Hierarchical Parallel Context -- Designing A Sustainable Serverless Graph Processing Tool on the Computing Continuum -- Diorthotis: A Parallel Batch Evaluator for Programming Assignments -- Experiences and Lessons Learned from PHYSICS: A Framework for Cloud Development with FaaS -- Improved IoT Application Placement in Fog Computing through Postponement -- High-Performance Distributed Computing with Smartphones -- Blockchain-based Decentralized Authority for Complex Organizational Structures Management -- Transparent Remote OpenMP Offloading based on MPI -- DAPHNE Runtime: Harnessing Parallelism for Integrated Data Analysis Pipelines -- Exploring Factors Impacting Data Offloading Performance in Edge and Cloud Environments -- HEAppE Middleware: From desktop to HPC -- Towards Energy-Aware Machine Learning in Geo-Distributed IoT Settings -- OpenCUBE: Building an Open Source Cloud Blueprint with EPI Systems -- BDDC Preconditioning in the Microcard Project -- Online Job Failure Prediction in an HPC system -- Exploring Mapping Strategies for Co-allocated HPC Applications -- A polynomial-time algorithm for detecting potentially unbounded places in a Petri net-based concurrent system -- Data Assimilation with Ocean Models: A Case Study of Reduced Precision and Machine Learning in the Gulf of Mexico -- Massively parallel EEG algorithms for pre-exascale architectures -- Online Job Failure Prediction in an HPC System -- Transitioning to Smart Sustainable Cities Based on Cutting-Edge Technological Improvements -- Algorithm Selection of MPI Collectives Considering System Utilization -- Service Management in Dynamic Edge Environments -- Path Plan Optimisation for UAV Assisted Data Collection in Large Areas -- Efficiently Distributed Federated Learning. |
| Record Nr. | UNINA-9910847587003321 |
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Zeinalipour Demetris
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| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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SOFSEM 2020: Theory and Practice of Computer Science [[electronic resource] ] : 46th International Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2020, Limassol, Cyprus, January 20–24, 2020, Proceedings / / edited by Alexander Chatzigeorgiou, Riccardo Dondi, Herodotos Herodotou, Christos Kapoutsis, Yannis Manolopoulos, George A. Papadopoulos, Florian Sikora
| SOFSEM 2020: Theory and Practice of Computer Science [[electronic resource] ] : 46th International Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2020, Limassol, Cyprus, January 20–24, 2020, Proceedings / / edited by Alexander Chatzigeorgiou, Riccardo Dondi, Herodotos Herodotou, Christos Kapoutsis, Yannis Manolopoulos, George A. Papadopoulos, Florian Sikora |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 723 p. 314 illus., 93 illus. in color.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Mathematics—Data processing
Algorithms Computer science—Mathematics Discrete mathematics Artificial intelligence—Data processing Computer networks Software engineering Computational Mathematics and Numerical Analysis Discrete Mathematics in Computer Science Data Science Computer Communication Networks Software Engineering |
| ISBN | 3-030-38919-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foundations of computer science -- Foundations of software engineering -- Foundations of data science and engineering -- Foundations of algorithmic computational biology. |
| Record Nr. | UNISA-996418204203316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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SOFSEM 2020: Theory and Practice of Computer Science : 46th International Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2020, Limassol, Cyprus, January 20–24, 2020, Proceedings / / edited by Alexander Chatzigeorgiou, Riccardo Dondi, Herodotos Herodotou, Christos Kapoutsis, Yannis Manolopoulos, George A. Papadopoulos, Florian Sikora
| SOFSEM 2020: Theory and Practice of Computer Science : 46th International Conference on Current Trends in Theory and Practice of Informatics, SOFSEM 2020, Limassol, Cyprus, January 20–24, 2020, Proceedings / / edited by Alexander Chatzigeorgiou, Riccardo Dondi, Herodotos Herodotou, Christos Kapoutsis, Yannis Manolopoulos, George A. Papadopoulos, Florian Sikora |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 723 p. 314 illus., 93 illus. in color.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Mathematics—Data processing
Algorithms Computer science—Mathematics Discrete mathematics Artificial intelligence—Data processing Computer networks Software engineering Computational Mathematics and Numerical Analysis Discrete Mathematics in Computer Science Data Science Computer Communication Networks Software Engineering |
| ISBN | 3-030-38919-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Foundations of computer science -- Foundations of software engineering -- Foundations of data science and engineering -- Foundations of algorithmic computational biology. |
| Record Nr. | UNINA-9910373928903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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