Big data and high performance computing / / edited by Lucio Grandinetti |
Pubbl/distr/stampa | Amsterdam, [Netherlands] : , : IOS Press, , 2015 |
Descrizione fisica | 1 online resource (168 p.) |
Disciplina | 005 |
Collana | Advances in Parallel Computing |
Soggetto topico |
Big data
High performance computing |
Soggetto genere / forma | Electronic books. |
ISBN | 1-61499-583-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""Title Page""; ""Preface""; ""Contents""; ""Fundamentals and General Concepts""; ""Big Data: Insight and the Scientific Method""; ""Programming Visual and Script-Based Big Data Analytics Workflows on Clouds""; ""Big Data from Scientific Simulations""; ""Towards a Comprehensive Set of Big Data Benchmarks""; ""Technologies, Processing and Storage""; ""Big Data Technologies""; ""Cori: A Pre-Exascale Supercomputer for Big Data and HPC Applications""; ""Architectural Implications for Exascale Based on Big Data Workflow Requirements""; ""Case Studies""
""Networking Materials Data: Accelerating Discovery at Experimental Facilities""""Big Data Research at DKRZ - Climate Model Data Production Workflow""; ""Subject Index""; ""Author Index"" |
Record Nr. | UNINA-9910460752003321 |
Amsterdam, [Netherlands] : , : IOS Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Big data and high performance computing / / edited by Lucio Grandinetti |
Pubbl/distr/stampa | Amsterdam, [Netherlands] : , : IOS Press, , 2015 |
Descrizione fisica | 1 online resource (168 p.) |
Disciplina | 005 |
Collana | Advances in Parallel Computing |
Soggetto topico |
Big data
High performance computing |
ISBN | 1-61499-583-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""Title Page""; ""Preface""; ""Contents""; ""Fundamentals and General Concepts""; ""Big Data: Insight and the Scientific Method""; ""Programming Visual and Script-Based Big Data Analytics Workflows on Clouds""; ""Big Data from Scientific Simulations""; ""Towards a Comprehensive Set of Big Data Benchmarks""; ""Technologies, Processing and Storage""; ""Big Data Technologies""; ""Cori: A Pre-Exascale Supercomputer for Big Data and HPC Applications""; ""Architectural Implications for Exascale Based on Big Data Workflow Requirements""; ""Case Studies""
""Networking Materials Data: Accelerating Discovery at Experimental Facilities""""Big Data Research at DKRZ - Climate Model Data Production Workflow""; ""Subject Index""; ""Author Index"" |
Record Nr. | UNINA-9910797866603321 |
Amsterdam, [Netherlands] : , : IOS Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Big data and high performance computing / / edited by Lucio Grandinetti |
Pubbl/distr/stampa | Amsterdam, [Netherlands] : , : IOS Press, , 2015 |
Descrizione fisica | 1 online resource (168 p.) |
Disciplina | 005 |
Collana | Advances in Parallel Computing |
Soggetto topico |
Big data
High performance computing |
ISBN | 1-61499-583-4 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
""Title Page""; ""Preface""; ""Contents""; ""Fundamentals and General Concepts""; ""Big Data: Insight and the Scientific Method""; ""Programming Visual and Script-Based Big Data Analytics Workflows on Clouds""; ""Big Data from Scientific Simulations""; ""Towards a Comprehensive Set of Big Data Benchmarks""; ""Technologies, Processing and Storage""; ""Big Data Technologies""; ""Cori: A Pre-Exascale Supercomputer for Big Data and HPC Applications""; ""Architectural Implications for Exascale Based on Big Data Workflow Requirements""; ""Case Studies""
""Networking Materials Data: Accelerating Discovery at Experimental Facilities""""Big Data Research at DKRZ - Climate Model Data Production Workflow""; ""Subject Index""; ""Author Index"" |
Record Nr. | UNINA-9910821829803321 |
Amsterdam, [Netherlands] : , : IOS Press, , 2015 | ||
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Lo trovi qui: Univ. Federico II | ||
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Brain-Inspired Computing [[electronic resource] ] : 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov |
Autore | Amunts Katrin |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (163 p.) |
Disciplina |
005.437
004.019 |
Altri autori (Persone) |
GrandinettiLucio
LippertThomas PetkovNicolai |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Artificial intelligence Image processing—Digital techniques Computer vision Computer engineering Computer networks User Interfaces and Human Computer Interaction Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer Engineering and Networks |
ISBN | 3-030-82427-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Machine Learning and Deep learning approaches in human brain mapping -- A high-resolution model of the human entorhinal cortex in the ‘BigBrain’– use case for machine learning and 3D analyses -- Deep learning-supported cytoarchitectonic mapping of the human lateral geniculate body in the BigBrain -- Brain modelling and simulation -- Computational modelling of cerebellar magnetic stimulation: the effect of washout? -- Usage and scaling of an open-source spiking multi-area model of the monkey cortex -- Exascale compute and data infrastructures for neuroscience and applications -- Modular supercomputing for neuroscience -- Fenix: Distributed e-Infrastructure Services for EBRAINS -- Independent component analysis for noise and artifact removal in three-dimensional Polarized Light Imaging -- Exascale artificial and natural neural architectures -- Brain-inspired algorithms for processing of visual data -- An hybrid attention-based system for the prediction of facial attributes -- The statistical physics of learning revisited: Typical learning curves in model scenarios -- Emotion mining: from unimodal to multimodal approaches -- . |
Record Nr. | UNISA-996464497503316 |
Amunts Katrin
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Brain-Inspired Computing : 4th International Workshop, BrainComp 2019, Cetraro, Italy, July 15–19, 2019, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov |
Autore | Amunts Katrin |
Edizione | [1st ed. 2021.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
Descrizione fisica | 1 online resource (163 p.) |
Disciplina |
005.437
004.019 |
Altri autori (Persone) |
GrandinettiLucio
LippertThomas PetkovNicolai |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Artificial intelligence Image processing—Digital techniques Computer vision Computer engineering Computer networks User Interfaces and Human Computer Interaction Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics Computer Engineering and Networks |
ISBN | 3-030-82427-6 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Machine Learning and Deep learning approaches in human brain mapping -- A high-resolution model of the human entorhinal cortex in the ‘BigBrain’– use case for machine learning and 3D analyses -- Deep learning-supported cytoarchitectonic mapping of the human lateral geniculate body in the BigBrain -- Brain modelling and simulation -- Computational modelling of cerebellar magnetic stimulation: the effect of washout? -- Usage and scaling of an open-source spiking multi-area model of the monkey cortex -- Exascale compute and data infrastructures for neuroscience and applications -- Modular supercomputing for neuroscience -- Fenix: Distributed e-Infrastructure Services for EBRAINS -- Independent component analysis for noise and artifact removal in three-dimensional Polarized Light Imaging -- Exascale artificial and natural neural architectures -- Brain-inspired algorithms for processing of visual data -- An hybrid attention-based system for the prediction of facial attributes -- The statistical physics of learning revisited: Typical learning curves in model scenarios -- Emotion mining: from unimodal to multimodal approaches -- . |
Record Nr. | UNINA-9910491852803321 |
Amunts Katrin
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Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
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Lo trovi qui: Univ. Federico II | ||
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Brain-Inspired Computing [[electronic resource] ] : Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (X, 195 p. 47 illus.) |
Disciplina | 006.32 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Computer vision Artificial intelligence Logic design Operating systems (Computers) Microprocessors Computer architecture User Interfaces and Human Computer Interaction Computer Vision Artificial Intelligence Logic Design Operating Systems Processor Architectures |
ISBN | 3-319-50862-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Human Brainnetome Atlas and its Potential Applications in Brain-inspired Computing -- Workflows for ultra-high resolution 3D models of the human brain on massively parallel supercomputers -- Towards large-scale fiber orientation models of the brain automation and parallelization of a seeded region growing segmentation of high-resolution brain section images -- Including gap junctions into distributed neuronal network simulations -- Designing Workflows for the Reproducible Analysis of Electrophysiological Data -- Finite-Difference Time-Domain Simulation for Three-dimensional Polarized Light Imaging -- Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing -- Bio-inspired filters for audio analysis -- Sophisticated LVQ Classification Models - Beyond Accuracy Optimization -- Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ -- A Cephalomorph Real-time Computer -- Towards the Ultimate Display for Neuroscientific Data Analysis -- Sentiment Analysis and Affective Computing: methods and applications -- Deep representations for collaborative robotics. . |
Record Nr. | UNISA-996465754003316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Brain-Inspired Computing : Second International Workshop, BrainComp 2015, Cetraro, Italy, July 6-10, 2015, Revised Selected Papers / / edited by Katrin Amunts, Lucio Grandinetti, Thomas Lippert, Nicolai Petkov |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (X, 195 p. 47 illus.) |
Disciplina | 006.32 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
User interfaces (Computer systems)
Human-computer interaction Computer vision Artificial intelligence Logic design Operating systems (Computers) Microprocessors Computer architecture User Interfaces and Human Computer Interaction Computer Vision Artificial Intelligence Logic Design Operating Systems Processor Architectures |
ISBN | 3-319-50862-8 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Human Brainnetome Atlas and its Potential Applications in Brain-inspired Computing -- Workflows for ultra-high resolution 3D models of the human brain on massively parallel supercomputers -- Towards large-scale fiber orientation models of the brain automation and parallelization of a seeded region growing segmentation of high-resolution brain section images -- Including gap junctions into distributed neuronal network simulations -- Designing Workflows for the Reproducible Analysis of Electrophysiological Data -- Finite-Difference Time-Domain Simulation for Three-dimensional Polarized Light Imaging -- Visual Processing in Cortical Architecture from Neuroscience to Neuromorphic Computing -- Bio-inspired filters for audio analysis -- Sophisticated LVQ Classification Models - Beyond Accuracy Optimization -- Classification of FDG-PET Brain Data by Generalized Matrix Relevance LVQ -- A Cephalomorph Real-time Computer -- Towards the Ultimate Display for Neuroscientific Data Analysis -- Sentiment Analysis and Affective Computing: methods and applications -- Deep representations for collaborative robotics. . |
Record Nr. | UNINA-9910484407103321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
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Lo trovi qui: Univ. Federico II | ||
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Brain-Inspired Computing [[electronic resource] ] : International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers / / edited by Lucio Grandinetti, Thomas Lippert, Nicolai Petkov |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (X, 213 p. 83 illus.) |
Disciplina | 004 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer science
Artificial intelligence Computer simulation Computer vision Theory of Computation Artificial Intelligence Computer Modelling Computer Vision |
ISBN | 3-319-12084-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Brain Structure and Function - A Neuroscience Perspective -- Computational Models and Brain-inspired Computing -- HPC and Visualization for Human Brain Simulations. |
Record Nr. | UNISA-996213649203316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. di Salerno | ||
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Brain-Inspired Computing : International Workshop, BrainComp 2013, Cetraro, Italy, July 8-11, 2013, Revised Selected Papers / / edited by Lucio Grandinetti, Thomas Lippert, Nicolai Petkov |
Edizione | [1st ed. 2014.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
Descrizione fisica | 1 online resource (X, 213 p. 83 illus.) |
Disciplina | 004 |
Collana | Theoretical Computer Science and General Issues |
Soggetto topico |
Computer science
Artificial intelligence Computer simulation Computer vision Theory of Computation Artificial Intelligence Computer Modelling Computer Vision |
ISBN | 3-319-12084-0 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Brain Structure and Function - A Neuroscience Perspective -- Computational Models and Brain-inspired Computing -- HPC and Visualization for Human Brain Simulations. |
Record Nr. | UNINA-9910483322303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
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Lo trovi qui: Univ. Federico II | ||
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High-Performance Computing and Big Data Analysis : Second International Congress, TopHPC 2019, Tehran, Iran, April 23–25, 2019, Revised Selected Papers / / edited by Lucio Grandinetti, Seyedeh Leili Mirtaheri, Reza Shahbazian |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
Descrizione fisica | 1 online resource (xiv, 514 pages) : illustrations |
Disciplina |
004.3
004.11 |
Collana | Communications in Computer and Information Science |
Soggetto topico |
Data mining
Computer organization Artificial intelligence Application software Computer security Algorithms Data Mining and Knowledge Discovery Computer Systems Organization and Communication Networks Artificial Intelligence Information Systems Applications (incl. Internet) Systems and Data Security Algorithm Analysis and Problem Complexity |
ISBN | 3-030-33495-3 |
Formato | Materiale a stampa ![]() |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Deep Learning -- Big Data Analytics -- Internet of Things -- Data Mining, Neural Network and Genetic Algorithms -- Performance Issues and Quantum Computing -- . |
Record Nr. | UNINA-9910349271303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
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Lo trovi qui: Univ. Federico II | ||
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