High Performance Computing
Springer International Publishing (Verlag)
978-3-031-80083-2 (ISBN)
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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.
.- 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.
| Erscheint lt. Verlag | 8.1.2025 |
|---|---|
| Reihe/Serie | Communications in Computer and Information Science |
| Zusatzinfo | XX, 319 p. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Informatik ► Weitere Themen ► Hardware | |
| Sozialwissenschaften | |
| Schlagworte | Artificial Intelligence • Bioinformatics • Distributed Computing • High Performance Computing • High Performance Computing Applications • machine learning • Parallel Computing Algorithms • Parallel Computing systems • Parallel Programming • Scientific Applications • Scientific Clusters • Scientific Computation |
| ISBN-10 | 3-031-80083-4 / 3031800834 |
| ISBN-13 | 978-3-031-80083-2 / 9783031800832 |
| Zustand | Neuware |
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