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High Performance Computing : 10th Latin American Conference, CARLA 2023, Cartagena, Colombia, September 18–22, 2023, Revised Selected Papers / / edited by Carlos J. Barrios H., Silvio Rizzi, Esteban Meneses, Esteban Mocskos, Jose M. Monsalve Diaz, Javier Montoya
High Performance Computing : 10th Latin American Conference, CARLA 2023, Cartagena, Colombia, September 18–22, 2023, Revised Selected Papers / / edited by Carlos J. Barrios H., Silvio Rizzi, Esteban Meneses, Esteban Mocskos, Jose M. Monsalve Diaz, Javier Montoya
Autore Barrios H Carlos J
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (236 pages)
Disciplina 621.39
004.6
Altri autori (Persone) RizziSilvio
MenesesEsteban
MocskosEsteban
Monsalve DiazJose M
MontoyaJavier
Collana Communications in Computer and Information Science
Soggetto topico Computer engineering
Computer networks
Artificial intelligence
Social sciences - Data processing
Microprogramming
Computer input-output equipment
Computer Engineering and Networks
Artificial Intelligence
Computer Application in Social and Behavioral Sciences
Control Structures and Microprogramming
Input/Output and Data Communications
ISBN 9783031521867
3031521862
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto High Performance Computing (HPC) -- Evaluation of Alternatives to Accelerate Scientific Numerical Calculations on Graphics Processing Units using Python -- Enhancing a GPU-based wave propagation application through loop tiling and loop fission optimizations -- Acceleration of high dimensional quantum simulator QuantumSkynet -- Multi-objective analysis of power consumption and quality of service in datacenters for effective demand response -- Enhancing the sparse matrix storage using reordering techniques -- Towards Fault Tolerance and Resilience in the Sequential Codelet Model -- Artificial Intelligence using HPC Scale -- Parallel-distributed implementation of the Lipizzaner framework for multiobjective coevolutionary training of Generative Adversarial Networks -- Provenance-based Dynamic Fine-Tuning of Cross-Silo Federated Learning -- High Performance Computing Applications -- A GPU Numerical Implementation of a 2D SimplifiedWildfire Spreading Model -- Towards a Multi-GPU Implementation of a Seismic Application -- What does a Nation-Wide Digital Nervous System use of an Operating System? -- The Impact of CUDA Execution Configuration Parameters on the Performance and Energy of a Seismic Application -- High-Performance Computing for Astrophysical Simulations and Astroparticle Observations -- Parallel Hybrid-Heterogeneous Single Value Decomposition Factorization -- Improvement of the Simulation of The Degradation of Reinforced Concrete in Saltwater Environments Using Directives.
Record Nr. UNINA-9910806199403321
Barrios H Carlos J  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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High Performance Computing : 11th Latin American High Performance Computing Conference, CARLA 2024, Santiago de Chile, Chile, September 30 – October 4, 2024, Revised Selected Papers / / edited by Ginés Guerrero, Jaime San Martín, Esteban Meneses, Carlos Jaime Barrios Hernández, Carla Osthoff, Jose M. Monsalve Diaz
High Performance Computing : 11th Latin American High Performance Computing Conference, CARLA 2024, Santiago de Chile, Chile, September 30 – October 4, 2024, Revised Selected Papers / / edited by Ginés Guerrero, Jaime San Martín, Esteban Meneses, Carlos Jaime Barrios Hernández, Carla Osthoff, Jose M. Monsalve Diaz
Autore Guerrero Ginés
Edizione [1st ed. 2025.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Descrizione fisica 1 online resource (466 pages)
Disciplina 621.39
004.6
Altri autori (Persone) San MartínJaime
MenesesEsteban
Barrios HernándezCarlos Jaime
OsthoffCarla
Monsalve DiazJose M
Collana Communications in Computer and Information Science
Soggetto topico Computer engineering
Computer networks
Artificial intelligence
Social sciences - Data processing
Microprogramming
Computer input-output equipment
Computer Engineering and Networks
Artificial Intelligence
Computer Application in Social and Behavioral Sciences
Control Structures and Microprogramming
Input/Output and Data Communications
ISBN 9783031800849
3031800842
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto -- High Performance Computing Track. -- Impact of job scheduling policy changes on user behaviour and system response: The case of the Santos Dumont supercomputer in Brazil. -- A Study of Performance Portability in Plasma Physics Simulations. -- High performance computing for auto supervised machine learning training: parallel-distributed implementation of the Word2Vec algorithm for training word embeddings. -- A Comprehensive Analysis of Process Energy Consumption on Multi-Socket Systems with GPUs. -- Enhancing Reverse Time Migration Simulations in HPC Systems through I/O and Computation Overlapping. -- Evaluation of Computational and Power Performance in Matrix Multiplication Libraries - MKL Vs cuBLAS. -- A User-centric Evaluation Methodology for Informed Provisioning of High Performance Computing Resources in Academic Institutions. -- EfiMon: A Process Analyser for Granular Power Consumption Prediction. -- Leveraging CPU-FPGA Co-design for Matrix Profile Computation. -- Artificial Intelligence at HPC Scale Track. -- Web system for recognizing actions of physical violence in urban spaces using CNN with Transfer Learning. -- Quantized SG-MCMC for Bayesian Deep Posterior Compression. -- No Plankton Left Behind: Preliminary results on massive plankton image recognition. -- Machine Learning Regression-based Prediction for Improving Performance and Energy Consumption in HPC platforms. -- A new computational framework for crop yield estimation and phenological monitoring. -- Histopathology Image Augmentation through StyleGAN2-ADA. -- High Performance Computing Applications Track. -- Strategies to Reduce Memory Consumption in Software Quantum Computing Simulators. -- Adaptive Edge-Based AIoT Architecture for Efficient Retraining and Sustainable Monitoring of Ephemeral Streams. -- Multi-GPU Tomographic Reconstructions of Large Volumes in the Frequency Domain. -- Accelerating tomographic artifact removal using a multi-GPU system. -- A parallel multi-threading global energy balance for a room thermal analysis in an unsteady state. -- Parallel Computing Strategies in WRF: The Role of MPI, OpenMP, & NUMA Affinity.
Record Nr. UNINA-9910983373103321
Guerrero Ginés  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
High performance computing : 8th Latin American conference, CARLA 2021, Guadalajara, Mexico, October 6-8, 2021, revised selected papers / / edited by Isidoro Gitler, Carlos Jaime Barrios Hernández and Esteban Meneses
High performance computing : 8th Latin American conference, CARLA 2021, Guadalajara, Mexico, October 6-8, 2021, revised selected papers / / edited by Isidoro Gitler, Carlos Jaime Barrios Hernández and Esteban Meneses
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (273 pages)
Disciplina 004.11
Collana Communications in Computer and Information Science
Soggetto topico High performance computing
ISBN 3-031-04209-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Organization -- Contents -- High Performance Computing -- TEPUI: High-Performance Computing Infrastructure for Beamlines at LNLS/Sirius -- 1 Introduction -- 2 Cluster Subsystems -- 2.1 High-Performance Computing -- 2.2 Storage -- 3 System Access -- 3.1 Scheduling System -- 4 Monitoring System -- 4.1 Infrastructure -- 5 Conclusion -- References -- Energy Consumption Studies of WRF Executions with the LIMITLESS Monitor -- 1 Introduction -- 2 WRF: The Standard for Weather Simulations -- 3 The LIMITLESS Monitor -- 4 Methodology -- 5 Results -- 6 Conclusions and Future Work -- References -- Improving Performance of Long Short-Term Memory Networks for Sentiment Analysis Using Multicore and GPU Architectures -- 1 Introduction -- 2 Related Work -- 3 Implementation -- 3.1 Technical Specifications -- 3.2 Training Data Pre-processing -- 3.3 Model and Training -- 4 Results -- 4.1 Accuracy of the Sentiment Analysis Model -- 4.2 Performance Improvements -- 4.3 Proposal Validation -- 5 Conclusion and Future Works -- References -- A Methodology for Evaluating the Energy Efficiency of Post-Moore Architectures -- 1 Introduction -- 2 State of the Art -- 3 ACDC Methodology Outline -- 3.1 Description of the ACDC Methodology -- 3.2 Case Study: Implementation of the ACDC Methodology -- 4 Conclusions -- References -- Understanding COVID-19 Epidemic in Costa Rica Through Network-Based Modeling -- 1 Introduction -- 2 Background -- 2.1 Epidemic Model Simulation -- 2.2 Corona++ Simulation Framework -- 2.3 Related Work -- 3 Modeling -- 3.1 Characterization -- 3.2 Calibration and Scenario Setup -- 4 Results -- 4.1 Experimental Setup -- 4.2 Validation -- 4.3 Evaluation of Scenarios -- 5 Conclusions and Further Work -- References -- An Efficient Vectorized Auction Algorithm for Many-Core and Multicore Architectures -- 1 Introduction -- 2 Related Work.
3 Auction Algorithm -- 4 Vectorization of the Auction Algorithm for Multicore and Many-Core Architecture -- 4.1 Vectorization of the bid Phase -- 4.2 Vectorization of the assign Phase -- 5 Parallelization of the Auction Algorithm -- 6 Experimental Analysis -- 6.1 Experimental Analysis of the Vectorization -- 6.2 Experimental Analysis of the Parallel Vectorization -- 7 Conclusions -- References -- Green Energy HPC Data Centers to Improve Processing Cost Efficiency -- 1 Introduction -- 2 Development -- 3 Results -- 4 Conclusions -- References -- DICE: Generic Data Abstraction for Enhancing the Convergence of HPC and Big Data -- 1 Introduction -- 2 Data Containers -- 2.1 Input Containers -- 2.2 Output Containers -- 2.3 Storage Support for Containers -- 2.4 Interface -- 3 Reduction of I/O Interference -- 4 Evaluation -- 5 Related Work -- 6 Conclusions -- References -- A Comparative Study of Consensus Algorithms for Distributed Systems -- 1 Introduction -- 2 Implementation -- 2.1 Paxos -- 2.2 Raft -- 2.3 Practical Byzantine Fault Tolerance (pBFT) -- 3 Results -- 4 Conclusion -- References -- OCFTL: An MPI Implementation-Independent Fault Tolerance Library for Task-Based Applications -- 1 Introduction -- 2 Background and Motivation -- 2.1 Failure Detection and Propagation -- 2.2 Failure Mitigation -- 3 Related Work -- 4 An Implementation-Independent Fault Tolerance Library - OCFTL -- 4.1 Failure Detection -- 4.2 Handling Failures -- 4.3 Repairing Communicators -- 4.4 Gathering States -- 4.5 MPI Wrappers -- 4.6 Notification Callbacks -- 5 Experimental Results and Discussion -- 5.1 MPI Behavior -- 5.2 Empirical OCFTL Performance Evaluation -- 5.3 Internal Broadcast -- 5.4 Locality Problem -- 5.5 Checkpointing -- 5.6 Limitations -- 5.7 Stand-Alone Use -- 6 Conclusions and Future Work -- References -- Accelerating Smart City Simulations -- 1 Introduction.
2 Related Works -- 3 SimEDaPE: Simulation Estimation by Data Patterns Exploration -- 3.1 Time Series Extraction -- 3.2 Clustering -- 3.3 Estimation -- 4 Low-Level Performance Optimizations -- 4.1 Optimizations -- 5 Experimental Results -- 5.1 SimEDaPE -- 5.2 Low-Level Optimizations -- 6 Conclusions -- References -- High Performance Computing and Artificial Intelligence -- Distributed Artificial Intelligent Model Training and Evaluation -- 1 Introduction -- 2 Implementation Auto Tuning for ML Training -- 2.1 Front End -- 2.2 Back End -- 3 Accelerated Prediction/Inference Implementation -- 4 Results -- 4.1 Manual Adjustment Testing -- 4.2 Hyper-parameter Scopes -- 4.3 Model Variations -- 4.4 Inference Results -- 5 Conclusions -- References -- Large-Scale Distributed Deep Learning: A Study of Mechanisms and Trade-Offs with PyTorch -- 1 Introduction -- 2 Related Work -- 3 Background -- 3.1 Deep Learning Neural Network Models -- 3.2 Deep Learning Frameworks -- 3.3 Distributed Deep Learning Training -- 4 Methodology -- 5 Experimental Results -- 5.1 Scalability Study -- 5.2 Accuracy and Scaling Trade-Off -- 5.3 Mixed-Precision Distributed Training -- 5.4 Adaptive Summation in Distributed Training -- 6 Discussion -- 7 Concluding Remarks -- References -- Wind Prediction Using Deep Learning and High Performance Computing -- 1 Introduction -- 2 Related Work -- 3 Theoretical Background -- 3.1 Time Series Wind Prediction -- 3.2 Convolutional Networks -- 4 Experiment Setup -- 4.1 Data -- 4.2 Experimental Framework -- 4.3 Technical Assessment and HPC Requirements -- 4.4 Hyper-parameter Tuning and Optimization -- 5 Experimentation -- 5.1 Multiple Input Multiple Output (MIMO) Approach -- 5.2 Common Parameters in all Architectures -- 5.3 Classic Convolutional Architecture -- 5.4 Separable Convolutional Architecture.
5.5 Adding Skip and Residual Connections to the Models -- 5.6 Multi-head Architectures -- 6 Discussion and Conclusions -- 6.1 MIMO is a Reliable Approach for Deep Networks -- 6.2 Convolutional Networks are Superior to Baselines -- 7 Future Work -- References -- An Analysis of Neural Architecture Search and Hyper Parameter Optimization Methods -- 1 Introduction -- 2 Architecture and Hyper-parameters Optimization Overview -- 3 Optimization Methods -- 3.1 Bayesian Optimization -- 3.2 Population-Based Algorithms -- 3.3 Reinforcement Learning -- 3.4 Multi-objective Optimization -- 4 Occurrence Analysis -- 4.1 Cluster 1: Applications -- 4.2 Cluster 2: Learning -- 4.3 Cluster 3: Multi-objective -- 4.4 Cluster 4 and 5: Optimization Strategies -- 5 Conclusion -- References -- High Performance Computing Applications -- Solving the Heat Transfer Equation by a Finite Difference Method Using Multi-dimensional Arrays in CUDA as in Standard C -- 1 Introduction -- 2 Bidimensional Arrays -- 3 Tridimensional Arrays -- 4 Application to the Non-steady Heat Transport Equation -- 4.1 2D Case -- 4.2 3D Case -- 5 Performance Test -- 6 Conclusions -- References -- High-Throughput of Measure-Preserving Integrators Derived from the Liouville Operator for Molecular Dynamics Simulations on GPUs -- 1 Introduction -- 2 Methodology -- 3 Results -- 3.1 Code Validation -- 3.2 Code Performance -- 4 Discussion -- 5 Conclusions -- References -- An Efficient Parallel Model for Coupled Open-Porous Medium Problem Applied to Grain Drying Processing -- 1 Introduction -- 2 Numerical Simulation of Coupled Open-Porous Medium Problem -- 3 Methodology -- 3.1 The Algorithm -- 3.2 OpenMP Implementation -- 3.3 Experimental Setup -- 4 Experimental Results -- 4.1 Numerical Results -- 4.2 Preliminary Performance Analysis -- 4.3 Performance Evaluation -- 5 Conclusion and Future Works -- References.
Author Index.
Record Nr. UNISA-996472066503316
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
High Performance Computing : 8th Latin American Conference, CARLA 2021, Guadalajara, Mexico, October 6–8, 2021, Revised Selected Papers / / edited by Isidoro Gitler, Carlos Jaime Barrios Hernández, Esteban Meneses
High Performance Computing : 8th Latin American Conference, CARLA 2021, Guadalajara, Mexico, October 6–8, 2021, Revised Selected Papers / / edited by Isidoro Gitler, Carlos Jaime Barrios Hernández, Esteban Meneses
Edizione [1st ed. 2022.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Descrizione fisica 1 online resource (273 pages)
Disciplina 004.11
Collana Communications in Computer and Information Science
Soggetto topico Computer engineering
Computer networks
Microprogramming
Computer input-output equipment
Logic design
Operating systems (Computers)
Application software
Computer Engineering and Networks
Control Structures and Microprogramming
Input/Output and Data Communications
Logic Design
Operating Systems
Computer and Information Systems Applications
ISBN 3-031-04209-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto High Performance Computing -- High Performance Computing and Artificia Intelligence -- High Performance Computing Applications.
Record Nr. UNINA-9910559394303321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
High Performance Computing : 5th Latin American Conference, CARLA 2018, Bucaramanga, Colombia, September 26–28, 2018, Revised Selected Papers / / edited by Esteban Meneses, Harold Castro, Carlos Jaime Barrios Hernández, Raul Ramos-Pollan
High Performance Computing : 5th Latin American Conference, CARLA 2018, Bucaramanga, Colombia, September 26–28, 2018, Revised Selected Papers / / edited by Esteban Meneses, Harold Castro, Carlos Jaime Barrios Hernández, Raul Ramos-Pollan
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XI, 338 p. 154 illus., 114 illus. in color.)
Disciplina 004.11
Collana Communications in Computer and Information Science
Soggetto topico Computer organization
Computer system failures
Artificial intelligence
Computer Systems Organization and Communication Networks
System Performance and Evaluation
Artificial Intelligence
ISBN 3-030-16205-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Artificial intelligence -- Accelerators -- Applications -- Performance evaluation -- Platforms and infrastructures -- Cloud computing.
Record Nr. UNINA-9910337581703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui