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Analytical Modelling in Parallel and Distributed Computing

Analytical Modelling in Parallel and Distributed Computing
Author: Peter Hanuliak
Publisher: Chartridge Books Oxford
Total Pages: 308
Release: 2014
Genre: Computers
ISBN: 1909287903

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This publication examines complex performance evaluation of various typical parallel algorithms (shared memory, distributed memory) and their practical implementations. As real application examples we demonstrate the various influences during the process of modelling and performance evaluation and the consequences of their distributed parallel implementations.


Introduction to Parallel Computing

Introduction to Parallel Computing
Author: Vipin Kumar
Publisher: Addison Wesley Longman
Total Pages: 632
Release: 1994
Genre: Computers
ISBN:

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Mathematics of Computing -- Parallelism.


Design and Analysis of Distributed Algorithms

Design and Analysis of Distributed Algorithms
Author: Nicola Santoro
Publisher: John Wiley & Sons
Total Pages: 730
Release: 2006-11-03
Genre: Computers
ISBN: 0470072636

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This text is based on a simple and fully reactive computational model that allows for intuitive comprehension and logical designs. The principles and techniques presented can be applied to any distributed computing environment (e.g., distributed systems, communication networks, data networks, grid networks, internet, etc.). The text provides a wealth of unique material for learning how to design algorithms and protocols perform tasks efficiently in a distributed computing environment.


Performance Analysis and Grid Computing

Performance Analysis and Grid Computing
Author: Vladimir Getov
Publisher: Springer Science & Business Media
Total Pages: 290
Release: 2012-12-06
Genre: Computers
ISBN: 1461503612

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Past and current research in computer performance analysis has focused primarily on dedicated parallel machines. However, future applications in the area of high-performance computing will not only use individual parallel systems but a large set of networked resources. This scenario of computational and data Grids is attracting a great deal of attention from both computer and computational scientists. In addition to the inherent complexity of parallel machines, the sharing and transparency of the available resources introduces new challenges on performance analysis, techniques, and systems. In order to meet those challenges, a multi-disciplinary approach to the multi-faceted problems of performance is required. New degrees of freedom will come into play with a direct impact on the performance of Grid computing, including wide-area network performance, quality-of-service (QoS), heterogeneity, and middleware systems, to mention only a few.


Scheduling in Distributed Computing Systems

Scheduling in Distributed Computing Systems
Author: Deo Prakash Vidyarthi
Publisher: Springer Science & Business Media
Total Pages: 301
Release: 2008-10-20
Genre: Computers
ISBN: 0387744835

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This book intends to inculcate the innovative ideas for the scheduling aspect in distributed computing systems. Although the models in this book have been designed for distributed systems, the same information is applicable for any type of system. The book will dramatically improve the design and management of the processes for industry professionals. It deals exclusively with the scheduling aspect, which finds little space in other distributed operating system books. Structured for a professional audience composed of researchers and practitioners in industry, this book is also suitable as a reference for graduate-level students.


Parallel and Distributed Computation: Numerical Methods

Parallel and Distributed Computation: Numerical Methods
Author: Dimitri Bertsekas
Publisher: Athena Scientific
Total Pages: 832
Release: 2015-03-01
Genre: Mathematics
ISBN: 1886529159

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This highly acclaimed work, first published by Prentice Hall in 1989, is a comprehensive and theoretically sound treatment of parallel and distributed numerical methods. It focuses on algorithms that are naturally suited for massive parallelization, and it explores the fundamental convergence, rate of convergence, communication, and synchronization issues associated with such algorithms. This is an extensive book, which aside from its focus on parallel and distributed algorithms, contains a wealth of material on a broad variety of computation and optimization topics. It is an excellent supplement to several of our other books, including Convex Optimization Algorithms (Athena Scientific, 2015), Nonlinear Programming (Athena Scientific, 1999), Dynamic Programming and Optimal Control (Athena Scientific, 2012), Neuro-Dynamic Programming (Athena Scientific, 1996), and Network Optimization (Athena Scientific, 1998). The on-line edition of the book contains a 95-page solutions manual.


Distributed and Parallel Computing

Distributed and Parallel Computing
Author: Hesham El-Rewini
Publisher: Prentice Hall
Total Pages: 480
Release: 1998
Genre: Computers
ISBN:

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Mathematics of Computing -- Parallelism.


Parallel Computing

Parallel Computing
Author: Roman Trobec
Publisher: Springer Science & Business Media
Total Pages: 531
Release: 2009-06-18
Genre: Computers
ISBN: 1848824092

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The use of parallel programming and architectures is essential for simulating and solving problems in modern computational practice. There has been rapid progress in microprocessor architecture, interconnection technology and software devel- ment, which are in?uencing directly the rapid growth of parallel and distributed computing. However, in order to make these bene?ts usable in practice, this dev- opment must be accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel num- ics are important for solving complex computational problems on parallel and/or distributed systems. The contributions to this book are focused on topics most concerned in the trends of today’s parallel computing. These range from parallel algorithmics, progr- ming, tools, network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integ- tion, number theory and their applications in computer simulations, which together form the kernel of the monograph. We expect that the book will be of interest to scientists working on parallel computing, doctoral students, teachers, engineers and mathematicians dealing with numerical applications and computer simulations of natural phenomena.


Modeling and Optimization of Parallel and Distributed Embedded Systems

Modeling and Optimization of Parallel and Distributed Embedded Systems
Author: Arslan Munir
Publisher: John Wiley & Sons
Total Pages: 399
Release: 2016-02-08
Genre: Computers
ISBN: 1119086418

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This book introduces the state-of-the-art in research in parallel and distributed embedded systems, which have been enabled by developments in silicon technology, micro-electro-mechanical systems (MEMS), wireless communications, computer networking, and digital electronics. These systems have diverse applications in domains including military and defense, medical, automotive, and unmanned autonomous vehicles. The emphasis of the book is on the modeling and optimization of emerging parallel and distributed embedded systems in relation to the three key design metrics of performance, power and dependability. Key features: Includes an embedded wireless sensor networks case study to help illustrate the modeling and optimization of distributed embedded systems. Provides an analysis of multi-core/many-core based embedded systems to explain the modeling and optimization of parallel embedded systems. Features an application metrics estimation model; Markov modeling for fault tolerance and analysis; and queueing theoretic modeling for performance evaluation. Discusses optimization approaches for distributed wireless sensor networks; high-performance and energy-efficient techniques at the architecture, middleware and software levels for parallel multicore-based embedded systems; and dynamic optimization methodologies. Highlights research challenges and future research directions. The book is primarily aimed at researchers in embedded systems; however, it will also serve as an invaluable reference to senior undergraduate and graduate students with an interest in embedded systems research.