Navegação por Assunto "HPC"
Resultados 1-12 de 12
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Combining prediction models and visualization techniques for enhanced performance analysis of irregular task-based applications
(2021) [Dissertação]Parallel application performance analysis is an essential and a continuous step towards understanding and optimizing any high-performance program. Nowadays, ubiquitous and complex heterogeneous architectures turn this job ... -
Energy consumption and performance of HPC architecture for Exascale
(2013) [Dissertação]One of the main concerns to build the new generation of High Performance Computing (HPC) systems is energy consumption. To break the exascale barrier, the scientific community needs to investigate alternatives that cope ... -
Exploiting cloud heterogeneity for cost-efficient execution of HPC applications
(2019) [Tese]Using Cloud Computing as an environment for running high-performance applications is already a reality today, where many scientists already use the cloud as their primary execution environment or at least as an environment ... -
Hardening strategies for HPC applications
(2017) [Tese]HPC device’s reliability is one of the major concerns for supercomputers today and for the next generation. In fact, the high number of devices in large data centers makes the probability of having at least a device corrupted ... -
La red iberoamericana de computación de altas prestaciones : una plataforma tecnológica al servicio de la comunidad académica
(2017) [Trabalho completo publicado em evento] -
Uma metodologia de avaliação de desempenho para identificar as melhore regiões paralelas para reduzir o consumo de energia
(2015) [Dissertação]Due to energy limitations imposed to supercomputers, parallel applications developed for High Performance Computers (HPC) are currently being investigated with energy efficiency metrics. The idea is to reduce the energy ... -
Parallel implementations of the cholesky decomposition on CPUs and GPUs
(2016) [Trabalho de conclusão de graduação]As Central Processing Units (CPUs) and Graphical Processing Units (GPUs) get progressively better, different approaches and designs for implementing algorithms with high data load must be studied and compared. This work ... -
Performance characterization of the alya fluid dynamics simulator
(2016) [Trabalho de conclusão de graduação]This research presents results of a performance characterization and a tracing methodology used for Alya running with a fluid dynamics model. Alya is a robust physics simulator that runs in parallel and is capable of solving ... -
Performance improvements applied in an electromagnetic inversion application focused on homogeneous and heterogeneous computational environments
(2022) [Dissertação]Physical oil exploration executed by the oil and gas industry usually requires amounts of money in the order of millions. This industry resorts to numerical and computational methods that help correctly map areas in the ... -
Performance optimization of geophysics stencils on HPC architectures
(2018) [Tese]Wave modeling is a crucial tool in geophysics, for efficient strong motion analysis, risk mitigation and oil & gas exploration. Due to its simplicity and numerical efficiency, the finite-difference method is one of the ... -
A practical evaluation of parallel and distributed deep learning frameworks
(2022) [Dissertação]The computational power growth in the last years and the increase of data to be processed contributed to researchers in deep learning update their models to use distributed train ing. Distributed Deep Learning (DDL) is ... -
Source code optimizations to reduce multi core and many core performance bottlenecks
(2018) [Dissertação]Nowadays, there are several different architectures available not only for the industry but also for final consumers. Traditional multi-core processors, GPUs, accelerators such as the Xeon Phi, or even energy efficiency-driven ...