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High Performance Computing

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Cover of 'High Performance Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Optimizing Water Cooling Applications on Shared Memory Systems
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    Chapter 2 Collaborative Development and Use of Scientific Applications in Orlando Tools: Integration, Delivery, and Deployment
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    Chapter 3 BS-SOLCTRA: Towards a Parallel Magnetic Plasma Confinement Simulation Framework for Modular Stellarator Devices
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    Chapter 4 Optimizing Big Data Network Transfers in FPGA SoC Clusters: TECBrain Case Study
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    Chapter 5 A Load Balancing Algorithm for Fog Computing Environments
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    Chapter 6 Multi-objective Configuration of a Secured Distributed Cloud Data Storage
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    Chapter 7 Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing
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    Chapter 8 Towards a Lightweight Method to Predict the Performance of Sparse Triangular Solvers on Heterogeneous Hardware Platforms
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    Chapter 9 Accelerating the Calculation of Friedman Test Tables on Many-Core Processors
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    Chapter 10 Modelling Road Saturation Dynamics on a Complex Transportation Network Based on GPS Navigation Software Data
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    Chapter 11 ExaMPI: A Modern Design and Implementation to Accelerate Message Passing Interface Innovation
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    Chapter 12 Assessing Kokkos Performance on Selected Architectures
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    Chapter 13 Improving the Simulation of Biologically Accurate Neural Networks Using Data Flow HLS Transformations on Heterogeneous SoC-FPGA Platforms
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    Chapter 14 Delivering Scalable Deep Learning to Research with Bridges-AI
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    Chapter 15 Towards a Platform to Evaluate the Impact of Resource Information Distribution in IoT Environments
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    Chapter 16 GPU Support for Automatic Generation of Finite-Differences Stencil Kernels
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    Chapter 17 Adding Probabilistic Certainty to Improve Performance of Convolutional Neural Networks
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    Chapter 18 Assessing the Impact of a Preprocessing Stage on Deep Learning Architectures for Breast Tumor Multi-class Classification with Histopathological Images
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    Chapter 19 Assessing the Robustness of Recurrent Neural Networks to Enhance the Spectrum of Reverberated Speech
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    Chapter 20 A Performance Evaluation of Several Artificial Neural Networks for Mapping Speech Spectrum Parameters
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    Chapter 21 Using Cluster Analysis to Assess the Impact of Dataset Heterogeneity on Deep Convolutional Network Accuracy: A First Glance
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    Chapter 22 Evolutionary Approach for Bus Synchronization
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    Chapter 23 Autonomous Flight of Unmanned Aerial Vehicles Using Evolutionary Algorithms
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    Chapter 24 An Experimental Study on Fundamental Frequency Detection in Reverberated Speech with Pre-trained Recurrent Neural Networks
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    Chapter 25 Measuring the Effect of Reverberation on Statistical Parametric Speech Synthesis
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    Chapter 26 Enhancing Speech Recorded from a Wearable Sensor Using a Collection of Autoencoders
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    Chapter 27 Insight GT: A Public, Fast, Web Image Ground Truth Authoring Tool
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    Chapter 28 Comparison of Four Automatic Classifiers for Cancer Cell Phenotypes Using M-Phase Features Extracted from Brightfield Microscopy Images
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    Chapter 29 Diaforá : A Visualization Tool for the Comparison of Biological Taxonomies
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    Chapter 30 A First Glance into Reversing Senescence on Herbarium Sample Images Through Conditional Generative Adversarial Networks
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    Chapter 31 Performance Evaluation of Parallel Inference of Large Phylogenetic Trees in Santos Dumont Supercomputer: A Practical Approach
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    Chapter 32 Matching of EM Map Segments to Structurally-Relevant Bio-molecular Regions
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Title
High Performance Computing
Published by
Springer International Publishing, April 2020
DOI 10.1007/978-3-030-41005-6
ISBNs
978-3-03-041004-9, 978-3-03-041005-6
Editors

Crespo-Mariño, Juan Luis, Meneses-Rojas, Esteban

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