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High Performance Computing : First HPCLATAM - CLCAR Latin American Joint Conference, CARLA 2014, Valparaiso, Chile, October 20-22, 2014. Proceedings

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Cover of 'High Performance Computing : First HPCLATAM - CLCAR Latin American Joint Conference, CARLA 2014, Valparaiso, Chile, October 20-22, 2014. Proceedings'

Table of Contents

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    Book Overview
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    Chapter 1 Efficient Symmetric Band Matrix-Matrix Multiplication on GPUs
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    Chapter 2 Adaptive Spot-Instances Aware Autoscaling for Scientific Workflows on the Cloud
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    Chapter 3 SI-Based Scheduling of Parameter Sweep Experiments on Federated Clouds
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    Chapter 4 Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources
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    Chapter 5 A Flexible Strategy for Distributed and Parallel Execution of a Monolithic Large-Scale Sequential Application
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    Chapter 6 A Model to Calculate Amazon EC2 Instance Performance in Frost Prediction Applications
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    Chapter 7 Ensemble Learning of Run-Time Prediction Models for Data-Intensive Scientific Workflows
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    Chapter 8 Implications of CPU Dynamic Performance and Energy-Efficient Technologies on the Intrusiveness Generated by Desktop Grids Based on Virtualization
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    Chapter 9 Efficient Fluorescence Microscopy Analysis over a Volunteer Grid/Cloud Infrastructure
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    Chapter 10 Multiobjective Energy-Aware Datacenter Planning Accounting for Power Consumption Profiles
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    Chapter 11 An Empirical Study of the Robustness of Energy-Aware Schedulers for High Performance Computing Systems under Uncertainty
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    Chapter 12 MBSPDiscover: An Automatic Benchmark for MultiBSP Performance Analysis
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    Chapter 13 Flexicache: Highly Reliable and Low Power Cache under Supply Voltage Scaling
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    Chapter 14 A Parallel Discrete Firefly Algorithm on GPU for Permutation Combinatorial Optimization Problems
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    Chapter 15 A Parallel Multilevel Data Decomposition Algorithm for Orientation Estimation of Unmanned Aerial Vehicles
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    Chapter 16 A Numerical Solution for Wootters Correlation
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    Chapter 17 Solving Nonlinear, High-Order Partial Differential Equations Using a High-Performance Isogeometric Analysis Framework
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    Chapter 18 Alya Multiphysics Simulations on Intel’s Xeon Phi Accelerators
Attention for Chapter 4: Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources
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Chapter title
Distributed Cache Strategies for Machine Learning Classification Tasks over Cluster Computing Resources
Chapter number 4
Book title
High Performance Computing
Published by
Springer, Berlin, Heidelberg, October 2014
DOI 10.1007/978-3-662-45483-1_4
Book ISBNs
978-3-66-245482-4, 978-3-66-245483-1
Authors

John Edilson Arévalo Ovalle, Raúl Ramos-Pollan, Fabio A. González, Ovalle, John Edilson Arévalo, Ramos-Pollan, Raúl, González, Fabio A.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 11%
Unknown 8 89%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 33%
Professor 2 22%
Other 1 11%
Student > Bachelor 1 11%
Student > Master 1 11%
Other 1 11%
Readers by discipline Count As %
Computer Science 8 89%
Unknown 1 11%