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High-Performance Computing: Paradigm and Infrastructure
By Laurence T. Yang and Minyi Guo
Rating: 2 out of 5 stars
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About this ebook
The state of the art of high-performance computing
Prominent researchers from around the world have gathered to present the state-of-the-art techniques and innovations in high-performance computing (HPC), including:
* Programming models for parallel computing: graph-oriented programming (GOP), OpenMP, the stages and transformation (SAT) approach, the bulk-synchronous parallel (BSP) model, Message Passing Interface (MPI), and Cilk
* Architectural and system support, featuring the code tiling compiler technique, the MigThread application-level migration and checkpointing package, the new prefetching scheme of atomicity, a new "receiver makes right" data conversion method, and lessons learned from applying reconfigurable computing to HPC
* Scheduling and resource management issues with heterogeneous systems, bus saturation effects on SMPs, genetic algorithms for distributed computing, and novel task-scheduling algorithms
* Clusters and grid computing: design requirements, grid middleware, distributed virtual machines, data grid services and performance-boosting techniques, security issues, and open issues
* Peer-to-peer computing (P2P) including the proposed search mechanism of hybrid periodical flooding (HPF) and routing protocols for improved routing performance
* Wireless and mobile computing, featuring discussions of implementing the Gateway Location Register (GLR) concept in 3G cellular networks, maximizing network longevity, and comparisons of QoS-aware scatternet scheduling algorithms
* High-performance applications including partitioners, running Bag-of-Tasks applications on grids, using low-cost clusters to meet high-demand applications, and advanced convergent architectures and protocols
High-Performance Computing: Paradigm and Infrastructure is an invaluable compendium for engineers, IT professionals, and researchers and students of computer science and applied mathematics.
Prominent researchers from around the world have gathered to present the state-of-the-art techniques and innovations in high-performance computing (HPC), including:
* Programming models for parallel computing: graph-oriented programming (GOP), OpenMP, the stages and transformation (SAT) approach, the bulk-synchronous parallel (BSP) model, Message Passing Interface (MPI), and Cilk
* Architectural and system support, featuring the code tiling compiler technique, the MigThread application-level migration and checkpointing package, the new prefetching scheme of atomicity, a new "receiver makes right" data conversion method, and lessons learned from applying reconfigurable computing to HPC
* Scheduling and resource management issues with heterogeneous systems, bus saturation effects on SMPs, genetic algorithms for distributed computing, and novel task-scheduling algorithms
* Clusters and grid computing: design requirements, grid middleware, distributed virtual machines, data grid services and performance-boosting techniques, security issues, and open issues
* Peer-to-peer computing (P2P) including the proposed search mechanism of hybrid periodical flooding (HPF) and routing protocols for improved routing performance
* Wireless and mobile computing, featuring discussions of implementing the Gateway Location Register (GLR) concept in 3G cellular networks, maximizing network longevity, and comparisons of QoS-aware scatternet scheduling algorithms
* High-performance applications including partitioners, running Bag-of-Tasks applications on grids, using low-cost clusters to meet high-demand applications, and advanced convergent architectures and protocols
High-Performance Computing: Paradigm and Infrastructure is an invaluable compendium for engineers, IT professionals, and researchers and students of computer science and applied mathematics.
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Titles in the series (30)
UPC: Distributed Shared Memory Programming Fundamentals of Distributed Object Systems: The CORBA Perspective Rating: 0 out of 5 stars0 ratingsHandbook of Wireless Networks and Mobile Computing Rating: 0 out of 5 stars0 ratingsParallel Computing on Heterogeneous Networks Rating: 0 out of 5 stars0 ratingsTools and Environments for Parallel and Distributed Computing Rating: 0 out of 5 stars0 ratingsFundamentals of Computer Organization and Architecture Rating: 5 out of 5 stars5/5Verification of Systems and Circuits Using LOTOS, Petri Nets, and CCS Rating: 0 out of 5 stars0 ratingsParallel Metaheuristics: A New Class of Algorithms Rating: 0 out of 5 stars0 ratingsPipelined Processor Farms: Structured Design for Embedded Parallel Systems Rating: 0 out of 5 stars0 ratingsHigh-Performance Computing: Paradigm and Infrastructure Rating: 2 out of 5 stars2/5Design and Analysis of Distributed Algorithms Rating: 0 out of 5 stars0 ratingsAdvanced Computer Architecture and Parallel Processing Rating: 0 out of 5 stars0 ratingsTask Scheduling for Parallel Systems Rating: 0 out of 5 stars0 ratingsParallel Combinatorial Optimization Rating: 0 out of 5 stars0 ratingsAdvanced Computational Infrastructures for Parallel and Distributed Adaptive Applications Rating: 0 out of 5 stars0 ratingsVerification of Communication Protocols in Web Services: Model-Checking Service Compositions Rating: 0 out of 5 stars0 ratingsEmerging Wireless LANs, Wireless PANs, and Wireless MANs: IEEE 802.11, IEEE 802.15, 802.16 Wireless Standard Family Rating: 0 out of 5 stars0 ratingsHigh-Performance Parallel Database Processing and Grid Databases Rating: 0 out of 5 stars0 ratingsMetaheuristics: From Design to Implementation Rating: 0 out of 5 stars0 ratingsRuling Distributed Dynamic Worlds Rating: 0 out of 5 stars0 ratingsCloud Computing: Principles and Paradigms Rating: 0 out of 5 stars0 ratingsOptimization Techniques for Solving Complex Problems Rating: 0 out of 5 stars0 ratingsProgramming Multicore and Many-core Computing Systems Rating: 0 out of 5 stars0 ratingsHigh Performance Heterogeneous Computing Rating: 0 out of 5 stars0 ratingsMarket-Oriented Grid and Utility Computing Rating: 0 out of 5 stars0 ratingsActivity Learning: Discovering, Recognizing, and Predicting Human Behavior from Sensor Data Rating: 0 out of 5 stars0 ratingsLarge-scale Distributed Systems and Energy Efficiency: A Holistic View Rating: 0 out of 5 stars0 ratings
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