Novos métodos funcionais na avaliação de lesões mamárias

Barra, Filipe Ramos; Barra, Renato Ramos; Sobrinho, Alaor Barra

doi:10.1590/s0100-39842012000600010

Cited by 16 publications

(15 citation statements)

References 30 publications

(36 reference statements)

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“…Two popular simulators for GPU-based accelerators are GPGPU-Sim [49], [50] and Barra [51], [52]. Both are functional simulators of NVIDIA GPUs, capable of running CUDA codes (GPGPU-Sim works also with OpenCL).…”

Section: Simulators Of Gpu-based Acceleratorsmentioning

confidence: 99%

A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing

Lopez-Novoa

Mendiburu

Miguel-Alonso

2015

IEEE Trans. Parallel Distrib. Syst.

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High performance computing platform is moving from homogeneous individual unites to heterogeneous systems. Where each unit is a combination of homogeneous cores and accelerator devices. Accelerator such as GPUs, FPGAs, DSPs, these devices usually designed for the specific and intensive type of computing tasks. The presence of these devices have created fresh and attractive development platforms for developers and designers, brand new performance analysis frameworks and optimization tools. This is the cutting edge in the performance of some accelerator devices like GPUs and Intel's Xeon Phi. We outline some of the existing heterogeneous systems and their development frameworks. The core of this study is a review of performance modeling of these devices. In this paper, we address the emerging issues that affect the performance of these devices and associated techniques employed for simulation and evaluation.

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Section: Simulators Of Gpu-based Acceleratorsmentioning

confidence: 99%

A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing

Lopez-Novoa

Mendiburu

Miguel-Alonso

2015

IEEE Trans. Parallel Distrib. Syst.

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“…Contudo, cada um apresenta suas vantagens e desvantagens em relação ao outro. Nessa perspectiva, novas técnicas estão surgindo para suprir as atuais demandas, especialmente na identificação de lesões mamárias, como possibilita a ressonância nuclear magnética; porém, sua melhor aplicação clínica ainda não foi estabelecida (16) .…”

Section: Discussionunclassified

Evidências Da Mama Puerperal Por Termografia: Relato De Caso

2019

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Objetivo: analisar a temperatura da mama puerperal utilizando termografia por infravermelho.Método: estudo realizado no Banco de Leite Humano de um Hospital de Curitiba em 2011. Selecionou-se aleatoriamente uma lactante com ingurgitamento bilateral nos quadrantes externos das mamas, e inspecionou-se a temperatura.Resultados: encontrou-se um lobo mamário macio com assimetria térmica de 1,5ºC, comparado à região contralateral, mas não se identificou assimetria térmica na temperatura geral entre as mamas.Conclusão: este caso sugere que assimetria térmica na mama puerperal está relacionada ao volume de leite nos lobos e não a disfunções ou patologias nesses lobos. O estudo abre perspectivas para aprofundamento da compreensão da fisiologia lactacional com a ampliação do grupo amostral avaliado nesta pesquisa. A termografia é uma técnica adequada às lactantes, mas requer sala apropriada, tempo para aclimatação e conhecimento da anatomia mamária.

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“…The accuracy of the output information provided by a simulator depends on many factors, which vary upon number of details. Some Simulators of GPU-based accelerators are accelerators are GPGPU-Sim [8], [9] and Barra [10], [11]. Both are simulations of NVIDIA and uses CUDA implementation.…”

Section: Simulationmentioning

confidence: 99%

Survey on Parallel Computing and Performance Modelling in High Performance Computing

S.Jadhav¹

2015

IJRITCC

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Abstract-The parallel programming come a long way with the advances in the HPC. The high performance computing landscape is shifting from collections of homogeneous nodes towards heterogeneous systems, in which nodes consist of a combination of traditional out-of-order execution cores and accelerator devices. Accelerators, built around GPUs, many-core chips, FPGAs or DSPs, are used to offload computeintensive tasks. Large-scale GPU clusters are gaining popularity in the scientific computing community and having massive range of applications. However, their deployment and production use are associated with a number of new challenges including CUDA. In this paper, we present our efforts to address some of the issues related to HPC and also introduced some performance modelling techniques along with GPU clustering.

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Novos métodos funcionais na avaliação de lesões mamárias

Cited by 16 publications

References 30 publications

A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing

A Survey of Performance Modeling and Simulation Techniques for Accelerator-Based Computing

Evidências Da Mama Puerperal Por Termografia: Relato De Caso

Survey on Parallel Computing and Performance Modelling in High Performance Computing

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