High performance computing : modern systems and practices / Thomas Sterling, Matthew Anderson and Maciej Brodowicz; foreword by C. Gordon Bell.

By:

Sterling, Thomas [author., School of Informatics Computing, and Engineering, Indiana University, Bloomington]

Contributor(s):

Anderson, Matthew [author., School of Informatics Computing, and Engineering, Indiana University, Bloomington]
Brodowicz, Maciej [author., School of Informatics Computing, and Engineering, Indiana University, Bloomington]

Material type: Text

text

Media type:

unmediated

Carrier type:

volume

ISBN:

9780124201583

Subject(s):

High performance computing

LOC classification:

QA76.88

Contents:

Intro -- Preface -- Organization -- Contents -- Regular Track on High Performance Computing: Applications -- Optimizing Water Cooling Applications on Shared Memory Systems -- 1 Introduction -- 2 Related Work -- 3 Thermodynamics and Computational Models -- 3.1 Mathematical Modeling -- 3.2 Inverse Problem via Network Search Method -- 4 Methodology -- 4.1 Execution Environment -- 4.2 Measurement Methodology -- 5 Results -- 5.1 Power Demand -- 5.2 Execution Time and Energy Consumption with Thread Mapping -- 5.3 Execution TimeEnergy Consumption Tradeoff -- 6 Conclusions -- References Collaborative Development and Use of Scientific Applications in Orlando Tools: Integration, Delivery, and Deployment -- Abstract -- 1 Introduction -- 2 Related Work -- 3 Orlando Tools: Development and Use of Distributed Applied Software Packages -- 4 Technological Scheme of CIDD in Orlando Tools -- 5 Applying CIDD in Orlando Tools -- 6 Conclusions -- Acknowledgment -- References -- BS-SOLCTRA: Towards a Parallel Magnetic Plasma Confinementpg Simulation Framework for Modular Stellarator Devices -- 1 Introduction -- 1.1 Plasma Confinement in Stellarator Devices -- 1.2 SCR-1 2 Biot-Savart Solver for Computing and Tracing Magnetic Field Lines -- 2.1 Simulation and Modeling -- 3 Accelerating BS-SOLCTRA -- 3.1 Sequential Profiling -- 3.2 Vectorization -- 3.3 Shared-Memory -- 3.4 Distributed-Memory -- 4 Scientific Visualization -- 5 Related Work -- 6 Final Remarks -- References -- Optimizing Big Data Network Transfers in FPGA SoC Clusters: TECBrain Case Study -- 1 Introduction -- 2 Design Considerations -- 3 Server Back-End Architectures Under Study -- 4 Network Performance of NodeJS and C++ -- 5 MongoDB Performance on NodeJS and C++ -- 5.1 Proposed Database Scheme 5.2 MongoCXX Performance -- 6 Conclusions -- References -- Regular Track on High Performance Computing: Algorithms and Models -- A Load Balancing Algorithm for Fog Computing Environments -- 1 Introduction -- 2 Theoretical Reference -- 2.1 Internet of Things -- 2.2 Cloud and Fog Computing -- 2.3 Load Balancer -- 3 Related Work -- 4 Architecture and Load Balancer Proposal -- 4.1 Internet of Things Architecture -- 4.2 SmartFogLB -- 5 Experimental Methodology -- 6 Results -- 7 Conclusions -- References -- Multi-objective Configuration of a Secured Distributed Cloud Data Storage -- Abstract 1 Introduction -- 2 AR-RRNS Data Storage Model: Multi-objective Scenario -- 2.1 Residue Number System and Its Properties -- 2.2 AR-RRNS Data Storage Model. Problem Statement -- 2.3 Multiobjective Optimization -- 3 System Design and Implementation -- 3.1 Genetic Algorithms -- 3.2 Chromosome Encoding -- 4 Experimentation -- 4.1 Quality Indicators -- 4.2 Calibration of GA Parameters -- 4.3 Experimental Setup -- 5 Obtained Results and Discussion -- 6 Conclusions and Future Work -- Acknowledgments -- References -- Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing

Summary: High Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge. In addition, practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products, and students will begin their careers with an understanding of possible directions for future research and development in HPC. Those who maintain and administer commodity clusters will find this textbook provides essential coverage of not only what HPC systems do, but how they are used. -- Provided by publisher

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Holdings
Item type	Current library	Call number	Copy number	Status	Date due	Barcode
Book	Main Library Open Shelf	QA76.88 STE (Browse shelf(Opens below))	150085	Available		BK135975

Includes bibliographical references and index.

Intro --
Preface --
Organization --
Contents --
Regular Track on High Performance Computing: Applications --
Optimizing Water Cooling Applications on Shared Memory Systems --
1 Introduction --
2 Related Work --
3 Thermodynamics and Computational Models --
3.1 Mathematical Modeling --
3.2 Inverse Problem via Network Search Method --
4 Methodology --
4.1 Execution Environment --
4.2 Measurement Methodology --
5 Results --
5.1 Power Demand --
5.2 Execution Time and Energy Consumption with Thread Mapping --
5.3 Execution TimeEnergy Consumption Tradeoff --
6 Conclusions --
References Collaborative Development and Use of Scientific Applications in Orlando Tools: Integration, Delivery, and Deployment --
Abstract --
1 Introduction --
2 Related Work --
3 Orlando Tools: Development and Use of Distributed Applied Software Packages --
4 Technological Scheme of CIDD in Orlando Tools --
5 Applying CIDD in Orlando Tools --
6 Conclusions --
Acknowledgment --
References --
BS-SOLCTRA: Towards a Parallel Magnetic Plasma Confinementpg Simulation Framework for Modular Stellarator Devices --
1 Introduction --
1.1 Plasma Confinement in Stellarator Devices --
1.2 SCR-1 2 Biot-Savart Solver for Computing and Tracing Magnetic Field Lines --
2.1 Simulation and Modeling --
3 Accelerating BS-SOLCTRA --
3.1 Sequential Profiling --
3.2 Vectorization --
3.3 Shared-Memory --
3.4 Distributed-Memory --
4 Scientific Visualization --
5 Related Work --
6 Final Remarks --
References --
Optimizing Big Data Network Transfers in FPGA SoC Clusters: TECBrain Case Study --
1 Introduction --
2 Design Considerations --
3 Server Back-End Architectures Under Study --
4 Network Performance of NodeJS and C++ --
5 MongoDB Performance on NodeJS and C++ --
5.1 Proposed Database Scheme 5.2 MongoCXX Performance --
6 Conclusions --
References --
Regular Track on High Performance Computing: Algorithms and Models --
A Load Balancing Algorithm for Fog Computing Environments --
1 Introduction --
2 Theoretical Reference --
2.1 Internet of Things --
2.2 Cloud and Fog Computing --
2.3 Load Balancer --
3 Related Work --
4 Architecture and Load Balancer Proposal --
4.1 Internet of Things Architecture --
4.2 SmartFogLB --
5 Experimental Methodology --
6 Results --
7 Conclusions --
References --
Multi-objective Configuration of a Secured Distributed Cloud Data Storage --
Abstract 1 Introduction --
2 AR-RRNS Data Storage Model: Multi-objective Scenario --
2.1 Residue Number System and Its Properties --
2.2 AR-RRNS Data Storage Model. Problem Statement --
2.3 Multiobjective Optimization --
3 System Design and Implementation --
3.1 Genetic Algorithms --
3.2 Chromosome Encoding --
4 Experimentation --
4.1 Quality Indicators --
4.2 Calibration of GA Parameters --
4.3 Experimental Setup --
5 Obtained Results and Discussion --
6 Conclusions and Future Work --
Acknowledgments --
References --
Bounding Volume Hierarchy Acceleration Through Tightly Coupled Heterogeneous Computing

High Performance Computing: Modern Systems and Practices is a fully comprehensive and easily accessible treatment of high performance computing, covering fundamental concepts and essential knowledge while also providing key skills training. With this book, domain scientists will learn how to use supercomputers as a key tool in their quest for new knowledge. In addition, practicing engineers will discover how supercomputers can employ HPC systems and methods to the design and simulation of innovative products, and students will begin their careers with an understanding of possible directions for future research and development in HPC. Those who maintain and administer commodity clusters will find this textbook provides essential coverage of not only what HPC systems do, but how they are used. -- Provided by publisher

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