High Performance Computing

Name: High Performance Computing | Second Latin American Conference, CARLA 2015, Petrópolis, Brazil, August 26-28, 2015, Proceedings
Brand: Springer
Price: 53.49 EUR
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Second Latin American Conference, CARLA 2015, Petrópolis, Brazil, August 26-28, 2015, Proceedings

Carla Osthoff Philippe Olivier Alexandre Navaux Carlos Jaime Barrios Hernandez Pedro L. Silva Dias(Herausgeber*in)

Springer (Verlag)

Erschienen am 11. Dezember 2015

X, 151 Seiten

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978-3-319-26928-3 (ISBN)

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Beschreibung

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Inhalt

Intro
Preface
Organization
Contents
Grid and Cloud Computing
Running Multi-relational Data Mining Processes in the Cloud: A Practical Approach for Social Networks
Abstract
1 Introduction
2 Background Knowledge
3 A Cloud-Based Approach for Running MRDM Analysis in Parallel
4 Experimental Evaluation
5 Conclusions
Acknowledgments
References
Methods for Job Scheduling on Computational Grids: Review and Comparison
Abstract
1 Introduction
2 Overview of Job Scheduling Problem in Grid Systems
2.1 Scheduling Problem in Grid Systems
2.2 ETC Computational Model
2.3 Energy Model
3 Heuristic and Metaheuristic Methods for Job Scheduling in Grids
3.1 Heuristics of Job Scheduling
3.2 Metaheuristics of Job Scheduling
4 Comparison of Scheduling Algorithms
4.1 Comparative Analysis
4.2 Analysis of the Highlighted Algorithms
5 Conclusions and Future Works
Acknowledgments
References
Cloud Computing for Fluorescence Correlation Spectroscopy Simulations
1 Introduction
2 Biological Problem Description
2.1 Fluorescence Correlation Spectroscopy
2.2 Software Components
2.3 Related Work
3 System Architecture for the Cloud
3.1 Architecture Design and Application Flow
3.2 Storage
3.3 Fault Tolerance
4 Implementation Details
4.1 Web Role
4.2 Message Processing Worker Role
4.3 Job Creation Worker Role
4.4 HDInsight Cluster
4.5 MapReduce
4.6 Load Balancer
5 Validation and Analysis
5.1 Load Balancing
5.2 Parameter Sweep Simulations
5.3 Fault Tolerance Analysis
5.4 Autoscaling
5.5 Experimental Evaluation of a Realistic Simulation
6 Conclusions
References
Porting a Numerical Atmospheric Model to a Cloud Service
1 Introduction
2 Related Work
3 Brazilian Regional Atmospheric Modeling System (BRAMS)
4 Porting BRAMS to the Cloud
4.1 Challenges and Solutions
4.2 System Architecture of BRAMS in the Cloud
5 Experimental Methodology and Environment
5.1 Machines
6 Evaluation Results
6.1 Performance
6.2 Network Latency
6.3 Cloud Operations
7 Conclusions
References
Determining the Real Capacity of a Desktop Cloud
Abstract
1 Introduction
2 Background
2.1 Desktop Grid/Cloud
2.2 UnaCloud
2.3 Performance
2.4 Cloud Monitoring
2.5 Metrics
2.6 SIGAR API
2.7 Modern Processor Technologies
3 Related Work
4 Methodology
4.1 Monitoring Component Developed
4.2 Hardware Testbed
4.3 Data Gathered
4.4 Data Analysis
4.5 Limitations
5 Experimental Setup
6 Experimental Results
7 Conclusion and Future Work
References
Improvements to Super-Peer Policy Communication Mechanisms
1 Introduction
2 Materials and Methods
3 Results
3.1 N-SP: N-Random Super Peer
3.2 A2A-SP: All-to-All Super Peer
4 Conclusions
References
GPU and MIC Computing: Methods, Libraries and Applications
Asynchronous in Situ Processing with Gromacs: Taking Advantage of GPUs
1 Introduction
2 Related Work
2.1 In Situ Systems
2.2 Treatments with GPU
3 Framework Description
3.1 Gromacs
3.2 FlowVR
3.3 Gromacs-FlowVR Interaction
3.4 Benchmark Framework Description
3.5 Benchmarks
4 Experiments
4.1 Experimental Context
4.2 Gromacs Native
4.3 Gromacs Instrumented with FlowVR
4.4 Gromacs with CPU Analytics
4.5 Gromacs with GPU Analytics
4.6 Discussion
5 Conclusion
References
Solving Linear Systems on the Intel Xeon-Phi Accelerator via the Gauss-Huard Algorithm
1 Introduction
2 Solution of Linear Systems
2.1 The LU Factorization
2.2 The Gauss-Huard Algorithm
3 Efficient Implementation of GHA on the Intel Xeon Phi Co-processor
3.1 Experimental Setup
3.2 Baseline Implementation
3.3 Improving via Matrix Transposition, GaussHuard_T
3.4 Using OpenMP, GaussHuard_O
3.5 Global Evaluation
4 Concluding Remarks and Future Work
References
On a Dynamic Scheduling Approach to Execute OpenCL Jobs on APUs
1 Introduction
2 Related Work
3 OpenCL
4 Dynamic Scheduling
5 Numerical Results
5.1 Benchmark
5.2 Computational Platform
5.3 Results
6 Conclusion and Future Works
References
Scientific Computing Applications
Fine-Tuning Xeon Architecture Vectorization and Parallelization of a Numerical Method for Convection-Diffusion Equations
1 Introduction
2 HOPMOC Method
2.1 1-D HOPMOC Algorithm
3 Computing Environment
4 Optimization
4.1 1-D HOPMOC Algorithm Vectorization
4.2 Parallelization
4.3 Data Parallelization
4.4 DATA Parallelization Performance Evaluation
4.5 Work Parallelization
5 Conclusion and Future Work
References
Parallel Performance Analysis of a Regional Numerical Weather Prediction Model in a Petascale Machine
1 Introduction
2 BRAMS Developments
3 Results
4 Final Remarks
References
Author Index

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