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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



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Autore: Guerrero Ginés Visualizza persona
Titolo: 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 Visualizza cluster
Pubblicazione: Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2025
Edizione: 1st ed. 2025.
Descrizione fisica: 1 online resource (466 pages)
Disciplina: 621.39
004.6
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
Altri autori: San MartínJaime  
MenesesEsteban  
Barrios HernándezCarlos Jaime  
OsthoffCarla  
Monsalve DiazJose M  
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.
Sommario/riassunto: This book constitutes the refereed revised selected papers of the 11th Latin American Conference on High Performance Computing, CARLA 2024, held in Santiago de Chile, Chile, during September 30–October 4, 2024. The 21 full papers included in this book were carefully reviewed and selected from 42 submissions. They were organized in topical sections as follows: High Performance Computing Track; Artificial Intelligence at HPC Scale Track; High Performance Computing Applications Track.
Titolo autorizzato: High Performance Computing  Visualizza cluster
ISBN: 9783031800849
3031800842
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910983373103321
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Serie: Communications in Computer and Information Science, . 1865-0937 ; ; 2270
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