UID:
almahu_9949985925102882
Umfang:
XV, 334 p. 147 illus., 138 illus. in color.
,
online resource.
Ausgabe:
1st ed. 2025.
ISBN:
9783031800849
Serie:
Communications in Computer and Information Science, 2270
Inhalt:
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.
Anmerkung:
-- 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.
In:
Springer Nature eBook
Weitere Ausg.:
Printed edition: ISBN 9783031800832
Weitere Ausg.:
Printed edition: ISBN 9783031800856
Sprache:
Englisch
DOI:
10.1007/978-3-031-80084-9
URL:
https://doi.org/10.1007/978-3-031-80084-9
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