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Supercomputing

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Cover of 'Supercomputing'

Table of Contents

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    Book Overview
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    Chapter 1 A Scheduling Algorithm for a Platform in Real Time
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    Chapter 2 Automatic Code Generator for a Customized High Performance Microprocessor Simulator
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    Chapter 3 Use of Containers for High-Performance Computing
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    Chapter 4 Generic Methodology for the Design of Parallel Algorithms Based on Pattern Languages
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    Chapter 5 A Parallelized Iterative Closest Point Algorithm for 3D View Fusion
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    Chapter 6 Evaluation of OrangeFS as a Tool to Achieve a High-Performance Storage and Massively Parallel Processing in HPC Cluster
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    Chapter 7 Many-Core Parallel Algorithm to Correct the Gaussian Noise of an Image
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    Chapter 8 Amdahl’s Law Extension for Parallel Program Performance Analysis on Intel Turbo-Boost Multicore Processors
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    Chapter 9 Traffic Sign Distance Estimation Based on Stereo Vision and GPUs
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    Chapter 10 The Use of HPC on Volcanic Tephra Dispersion Operational Forecast System
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    Chapter 11 High Performance Open Source Lagrangian Oil Spill Model
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    Chapter 12 Fast Random Cactus Graph Generation
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    Chapter 13 Theoretical Calculation of Photoluminescence Spectrum Using DFT for Double-Wall Carbon Nanotubes
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    Chapter 14 Computational Study of Aqueous Solvation of Vanadium (V) Complexes
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    Chapter 15 3D Image Reconstruction System for Cancerous Tumors Analysis Based on Diffuse Optical Tomography with Blender
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    Chapter 16 Sea-Surface Temperature Spatiotemporal Analysis for the Gulf of California, 1998–2015: Regime Change Simulation
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    Chapter 17 Use of High Performance Computing to Simulate Cosmic-Ray Showers Initiated by High-Energy Gamma Rays
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    Chapter 18 Data Augmentation for Deep Learning of Non-mydriatic Screening Retinal Fundus Images
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    Chapter 19 Decision Support System for Urban Flood Management in the Cazones River Basin
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Title
Supercomputing
Published by
Springer International Publishing, February 2019
DOI 10.1007/978-3-030-10448-1
ISBNs
978-3-03-010447-4, 978-3-03-010448-1
Editors

Torres, Moises, Klapp, Jaime, Gitler, Isidoro, Tchernykh, Andrei

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Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Student > Doctoral Student 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%