Description
Book Synopsis
.- 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.
