Asynchronous Analysis Of Parallel Dynamic Programming Algorithms

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Parallel and Distributed Computation: Numerical Methods

Author : Dimitri Bertsekas
Publisher : Athena Scientific
ISBN 13 : 1886529159
Total Pages : 832 pages
Book Rating : 4.8/5 (865 download)

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Book Synopsis Parallel and Distributed Computation: Numerical Methods by : Dimitri Bertsekas

Download or read book Parallel and Distributed Computation: Numerical Methods written by Dimitri Bertsekas and published by Athena Scientific. This book was released on 2015-03-01 with total page 832 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

High Performance Computing - HiPC'99

Author : Prith Banerjee
Publisher : Springer
ISBN 13 : 3540466428
Total Pages : 419 pages
Book Rating : 4.5/5 (44 download)

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Book Synopsis High Performance Computing - HiPC'99 by : Prith Banerjee

Download or read book High Performance Computing - HiPC'99 written by Prith Banerjee and published by Springer. This book was released on 2004-06-01 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: These are the proceedings of the Sixth International Conference on High Performance Computing (HiPC’99) held December 17-20 in Calcutta, India. The meeting serves as a forum for presenting current work by researchers from around the world as well as highlighting activities in Asia in the high performance computing area. The meeting emphasizes both the design and the analysis of high performance computing systems and their scientific, engineering, and commercial applications. Topics covered in the meeting series include: Parallel Algorithms Scientific Computation Parallel Architectures Visualization Parallel Languages & Compilers Network and Cluster Based Computing Distributed Systems Signal & Image Processing Systems Programming Environments Supercomputing Applications Memory Systems Internet and WWW-based Computing Multimedia and High Speed Networks Scalable Servers We would like to thank Alfred Hofmann and Ruth Abraham of Springer-Verlag for their excellent support in bringing out the proceedings. The detailed messages from the steering committee chair, general co-chair and program chair pay tribute to numerous volunteers who helped us in organizing the meeting. October 1999 Viktor K. Prasanna Bhabani Sinha Prithviraj Banerjee Message from the Steering Chair It is my pleasure to welcome you to the Sixth International Conference on High Performance Computing. I hope you enjoy the meeting, the rich cultural heritage of Calcutta, as well as the mother Ganges, “the river of life”.

Distributed Computing and Networking

Author : Mainak Chatterjee
Publisher : Springer
ISBN 13 : 3642452493
Total Pages : 567 pages
Book Rating : 4.6/5 (424 download)

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Book Synopsis Distributed Computing and Networking by : Mainak Chatterjee

Download or read book Distributed Computing and Networking written by Mainak Chatterjee and published by Springer. This book was released on 2014-01-02 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 15th International Conference on Distributed Computing and Networking, ICDCN 2014, held in Coimbatore, India, in January 2014. The 32 full papers and 8 short papers presented in this volume were carefully reviewed and selected from 110 submissions. They are organized in topical sections named: mutual exclusion, agreement and consensus; parallel and multi-core computing; distributed algorithms; transactional memory; P2P and distributed networks; resource sharing and scheduling; cellular and cognitive radio networks and backbone networks.

Parallel Sorting Algorithms

Author : Selim G. Akl
Publisher : Academic Press
ISBN 13 : 148326808X
Total Pages : 244 pages
Book Rating : 4.4/5 (832 download)

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Book Synopsis Parallel Sorting Algorithms by : Selim G. Akl

Download or read book Parallel Sorting Algorithms written by Selim G. Akl and published by Academic Press. This book was released on 2014-06-20 with total page 244 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel Sorting Algorithms explains how to use parallel algorithms to sort a sequence of items on a variety of parallel computers. The book reviews the sorting problem, the parallel models of computation, parallel algorithms, and the lower bounds on the parallel sorting problems. The text also presents twenty different algorithms, such as linear arrays, mesh-connected computers, cube-connected computers. Another example where algorithm can be applied is on the shared-memory SIMD (single instruction stream multiple data stream) computers in which the whole sequence to be sorted can fit in the respective primary memories of the computers (random access memory), or in a single shared memory. SIMD processors communicate through an interconnection network or the processors communicate through a common and shared memory. The text also investigates the case of external sorting in which the sequence to be sorted is bigger than the available primary memory. In this case, the algorithms used in external sorting is very similar to those used to describe internal sorting, that is, when the sequence can fit in the primary memory, The book explains that an algorithm can reach its optimum possible operating time for sorting when it is running on a particular set of architecture, depending on a constant multiplicative factor. The text is suitable for computer engineers and scientists interested in parallel algorithms.

Recent Advances in Parallel Virtual Machine and Message Passing Interface

Author : Vassil Alexandrov
Publisher : Springer Science & Business Media
ISBN 13 : 9783540650416
Total Pages : 436 pages
Book Rating : 4.6/5 (54 download)

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Book Synopsis Recent Advances in Parallel Virtual Machine and Message Passing Interface by : Vassil Alexandrov

Download or read book Recent Advances in Parallel Virtual Machine and Message Passing Interface written by Vassil Alexandrov and published by Springer Science & Business Media. This book was released on 1998-08-26 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 5th European Meeting of the Parallel Virtual Machine and Message Passing Interface Users' Group, PVM/MPI '98, held in Liverpool, UK, in September 1998. The 49 contributed and invited papers presented were carefully reviewed and revised for inclusion in the volume. All current aspects of PVM and MPI are addressed. The papers are organized in topical sections on evaluation and performance, extensions and improvements, implementation issues, tools, and algorithms.

Computer Sciences Technical Report

Author :
Publisher :
ISBN 13 :
Total Pages : 518 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis Computer Sciences Technical Report by :

Download or read book Computer Sciences Technical Report written by and published by . This book was released on 1994 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Convex Analysis and Optimization

Author : Dimitri Bertsekas
Publisher : Athena Scientific
ISBN 13 : 1886529450
Total Pages : 560 pages
Book Rating : 4.8/5 (865 download)

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Book Synopsis Convex Analysis and Optimization by : Dimitri Bertsekas

Download or read book Convex Analysis and Optimization written by Dimitri Bertsekas and published by Athena Scientific. This book was released on 2003-03-01 with total page 560 pages. Available in PDF, EPUB and Kindle. Book excerpt: A uniquely pedagogical, insightful, and rigorous treatment of the analytical/geometrical foundations of optimization. The book provides a comprehensive development of convexity theory, and its rich applications in optimization, including duality, minimax/saddle point theory, Lagrange multipliers, and Lagrangian relaxation/nondifferentiable optimization. It is an excellent supplement to several of our books: Convex Optimization Theory (Athena Scientific, 2009), Convex Optimization Algorithms (Athena Scientific, 2015), Nonlinear Programming (Athena Scientific, 2016), Network Optimization (Athena Scientific, 1998), and Introduction to Linear Optimization (Athena Scientific, 1997). Aside from a thorough account of convex analysis and optimization, the book aims to restructure the theory of the subject, by introducing several novel unifying lines of analysis, including: 1) A unified development of minimax theory and constrained optimization duality as special cases of duality between two simple geometrical problems. 2) A unified development of conditions for existence of solutions of convex optimization problems, conditions for the minimax equality to hold, and conditions for the absence of a duality gap in constrained optimization. 3) A unification of the major constraint qualifications allowing the use of Lagrange multipliers for nonconvex constrained optimization, using the notion of constraint pseudonormality and an enhanced form of the Fritz John necessary optimality conditions. Among its features the book: a) Develops rigorously and comprehensively the theory of convex sets and functions, in the classical tradition of Fenchel and Rockafellar b) Provides a geometric, highly visual treatment of convex and nonconvex optimization problems, including existence of solutions, optimality conditions, Lagrange multipliers, and duality c) Includes an insightful and comprehensive presentation of minimax theory and zero sum games, and its connection with duality d) Describes dual optimization, the associated computational methods, including the novel incremental subgradient methods, and applications in linear, quadratic, and integer programming e) Contains many examples, illustrations, and exercises with complete solutions (about 200 pages) posted at the publisher's web site http://www.athenasc.com/convexity.html

ACM Transactions on Computer Systems

Author :
Publisher :
ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis ACM Transactions on Computer Systems by :

Download or read book ACM Transactions on Computer Systems written by and published by . This book was released on 2004 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Parallel Computing in Optimization

Author : A. Migdalas
Publisher : Springer Science & Business Media
ISBN 13 : 1461334004
Total Pages : 596 pages
Book Rating : 4.4/5 (613 download)

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Book Synopsis Parallel Computing in Optimization by : A. Migdalas

Download or read book Parallel Computing in Optimization written by A. Migdalas and published by Springer Science & Business Media. This book was released on 2013-12-01 with total page 596 pages. Available in PDF, EPUB and Kindle. Book excerpt: During the last three decades, breakthroughs in computer technology have made a tremendous impact on optimization. In particular, parallel computing has made it possible to solve larger and computationally more difficult prob lems. This volume contains mainly lecture notes from a Nordic Summer School held at the Linkoping Institute of Technology, Sweden in August 1995. In order to make the book more complete, a few authors were invited to contribute chapters that were not part of the course on this first occasion. The purpose of this Nordic course in advanced studies was three-fold. One goal was to introduce the students to the new achievements in a new and very active field, bring them close to world leading researchers, and strengthen their competence in an area with internationally explosive rate of growth. A second goal was to strengthen the bonds between students from different Nordic countries, and to encourage collaboration and joint research ventures over the borders. In this respect, the course built further on the achievements of the "Nordic Network in Mathematical Programming" , which has been running during the last three years with the support ofthe Nordic Council for Advanced Studies (NorFA). The final goal was to produce literature on the particular subject, which would be available to both the participating students and to the students of the "next generation" .

Proceedings of the ... ACM SIGMETRICS Conference on Measurement and Modeling of Computer Systems

Author :
Publisher :
ISBN 13 :
Total Pages : 308 pages
Book Rating : 4.X/5 (4 download)

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Book Synopsis Proceedings of the ... ACM SIGMETRICS Conference on Measurement and Modeling of Computer Systems by :

Download or read book Proceedings of the ... ACM SIGMETRICS Conference on Measurement and Modeling of Computer Systems written by and published by . This book was released on 1993 with total page 308 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Parallel Algorithms for Machine Intelligence and Vision

Author : Vipin Kumar
Publisher : Springer Science & Business Media
ISBN 13 : 1461233909
Total Pages : 445 pages
Book Rating : 4.4/5 (612 download)

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Book Synopsis Parallel Algorithms for Machine Intelligence and Vision by : Vipin Kumar

Download or read book Parallel Algorithms for Machine Intelligence and Vision written by Vipin Kumar and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 445 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent research results in the area of parallel algorithms for problem solving, search, natural language parsing, and computer vision, are brought together in this book. The research reported demonstrates that substantial parallelism can be exploited in various machine intelligence and vision problems. The chapter authors are prominent researchers actively involved in the study of parallel algorithms for machine intelligence and vision. Extensive experimental studies are presented that will help the reader in assessing the usefulness of an approach to a specific problem. Intended for students and researchers actively involved in parallel algorithms design and in machine intelligence and vision, this book will serve as a valuable reference work as well as an introduction to several research directions in these areas.

Abstract Dynamic Programming

Author : Dimitri Bertsekas
Publisher : Athena Scientific
ISBN 13 : 1886529477
Total Pages : 420 pages
Book Rating : 4.8/5 (865 download)

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Book Synopsis Abstract Dynamic Programming by : Dimitri Bertsekas

Download or read book Abstract Dynamic Programming written by Dimitri Bertsekas and published by Athena Scientific. This book was released on 2022-01-01 with total page 420 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the 3rd edition of a research monograph providing a synthesis of old research on the foundations of dynamic programming (DP), with the modern theory of approximate DP and new research on semicontractive models. It aims at a unified and economical development of the core theory and algorithms of total cost sequential decision problems, based on the strong connections of the subject with fixed point theory. The analysis focuses on the abstract mapping that underlies DP and defines the mathematical character of the associated problem. The discussion centers on two fundamental properties that this mapping may have: monotonicity and (weighted sup-norm) contraction. It turns out that the nature of the analytical and algorithmic DP theory is determined primarily by the presence or absence of these two properties, and the rest of the problem's structure is largely inconsequential. New research is focused on two areas: 1) The ramifications of these properties in the context of algorithms for approximate DP, and 2) The new class of semicontractive models, exemplified by stochastic shortest path problems, where some but not all policies are contractive. The 3rd edition is very similar to the 2nd edition, except for the addition of a new chapter (Chapter 5), which deals with abstract DP models for sequential minimax problems and zero-sum games, The book is an excellent supplement to several of our books: Neuro-Dynamic Programming (Athena Scientific, 1996), Dynamic Programming and Optimal Control (Athena Scientific, 2017), Reinforcement Learning and Optimal Control (Athena Scientific, 2019), and Rollout, Policy Iteration, and Distributed Reinforcement Learning (Athena Scientific, 2020).

High Performance Computing

Author :
Publisher :
ISBN 13 :
Total Pages : 456 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis High Performance Computing by :

Download or read book High Performance Computing written by and published by . This book was released on 1999 with total page 456 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Parallel Combinatorial Optimization

Author : El-Ghazali Talbi
Publisher : John Wiley & Sons
ISBN 13 : 0470053917
Total Pages : 348 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Parallel Combinatorial Optimization by : El-Ghazali Talbi

Download or read book Parallel Combinatorial Optimization written by El-Ghazali Talbi and published by John Wiley & Sons. This book was released on 2006-10-27 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text provides an excellent balance of theory and application that enables you to deploy powerful algorithms, frameworks, and methodologies to solve complex optimization problems in a diverse range of industries. Each chapter is written by leading experts in the fields of parallel and distributed optimization. Collectively, the contributions serve as a complete reference to the field of combinatorial optimization, including details and findings of recent and ongoing investigations.

并行程序设计

Author : Foster
Publisher :
ISBN 13 : 9787115103475
Total Pages : 381 pages
Book Rating : 4.1/5 (34 download)

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Book Synopsis 并行程序设计 by : Foster

Download or read book 并行程序设计 written by Foster and published by . This book was released on 2002 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: 国外著名高等院校信息科学与技术优秀教材

Reinforcement Learning Algorithms: Analysis and Applications

Author : Boris Belousov
Publisher : Springer Nature
ISBN 13 : 3030411885
Total Pages : 197 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Reinforcement Learning Algorithms: Analysis and Applications by : Boris Belousov

Download or read book Reinforcement Learning Algorithms: Analysis and Applications written by Boris Belousov and published by Springer Nature. This book was released on 2021-01-02 with total page 197 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book reviews research developments in diverse areas of reinforcement learning such as model-free actor-critic methods, model-based learning and control, information geometry of policy searches, reward design, and exploration in biology and the behavioral sciences. Special emphasis is placed on advanced ideas, algorithms, methods, and applications. The contributed papers gathered here grew out of a lecture course on reinforcement learning held by Prof. Jan Peters in the winter semester 2018/2019 at Technische Universität Darmstadt. The book is intended for reinforcement learning students and researchers with a firm grasp of linear algebra, statistics, and optimization. Nevertheless, all key concepts are introduced in each chapter, making the content self-contained and accessible to a broader audience.

Rollout, Policy Iteration, and Distributed Reinforcement Learning

Author : Dimitri Bertsekas
Publisher : Athena Scientific
ISBN 13 : 1886529078
Total Pages : 498 pages
Book Rating : 4.8/5 (865 download)

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Book Synopsis Rollout, Policy Iteration, and Distributed Reinforcement Learning by : Dimitri Bertsekas

Download or read book Rollout, Policy Iteration, and Distributed Reinforcement Learning written by Dimitri Bertsekas and published by Athena Scientific. This book was released on 2021-08-20 with total page 498 pages. Available in PDF, EPUB and Kindle. Book excerpt: The purpose of this book is to develop in greater depth some of the methods from the author's Reinforcement Learning and Optimal Control recently published textbook (Athena Scientific, 2019). In particular, we present new research, relating to systems involving multiple agents, partitioned architectures, and distributed asynchronous computation. We pay special attention to the contexts of dynamic programming/policy iteration and control theory/model predictive control. We also discuss in some detail the application of the methodology to challenging discrete/combinatorial optimization problems, such as routing, scheduling, assignment, and mixed integer programming, including the use of neural network approximations within these contexts. The book focuses on the fundamental idea of policy iteration, i.e., start from some policy, and successively generate one or more improved policies. If just one improved policy is generated, this is called rollout, which, based on broad and consistent computational experience, appears to be one of the most versatile and reliable of all reinforcement learning methods. In this book, rollout algorithms are developed for both discrete deterministic and stochastic DP problems, and the development of distributed implementations in both multiagent and multiprocessor settings, aiming to take advantage of parallelism. Approximate policy iteration is more ambitious than rollout, but it is a strictly off-line method, and it is generally far more computationally intensive. This motivates the use of parallel and distributed computation. One of the purposes of the monograph is to discuss distributed (possibly asynchronous) methods that relate to rollout and policy iteration, both in the context of an exact and an approximate implementation involving neural networks or other approximation architectures. Much of the new research is inspired by the remarkable AlphaZero chess program, where policy iteration, value and policy networks, approximate lookahead minimization, and parallel computation all play an important role.