Download or read book Asynchronous Analysis of Parallel Dynamic Programming Algorithms written by University of Wisconsin--Madison. Computer Sciences Dept and published by . This book was released on 1994 with total page 27 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "We examine a very simple asynchronous model of parallel computation that assumes the time to compute a task is random, following some probability distribution. The goal of this model is to capture the effects of unpredictable delays on processors, due to communication delays or cache misses, for example. Using techniques from queueing theory and occupancy problems, we use this model to analyze two parallel dynamic programming algorithms. We show that this model is both simple to analyze and accurately predicts which algorithm will perform better in practice. The algorithms we consider are a pipeline algorithm, where each processor i computes in order the entries of rows, i, i+p and so on, where p is the number of processors; and a diagonal algorithm, where entries along each diagonal extending from the left to the top of the table are computed in turn. It is likely that the techniques used here can be useful in the analysis of other algorithms that use barriers or pipelining techniques."

Download or read book The Design and Analysis of Algorithms for Asynchronous Multiprocessors written by Gerard M. Baudet and published by . This book was released on 1978 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: The characteristic of an asynchronous multiprocessor is that it is composed of several processors capable of carrying out the execution of their own programs in a completely independent fashion. As a consequence, parallel algorithms for asynchronous multiprocessors present some unique aspects in both their design and their analysis. This thesis explores the issues raised by the design and the analysis of parallel algorithms for asynchronous multiprocessors and illustrates the various notions and concepts involved with these algorithms by considering problems in diverse areas. The thesis demonstrates that asynchronous multiprocessors can be used efficiently in different problem domains, provided that appropriate algorithms are used. It also illustrates various techniques useful in the analysis of such algorithms. As evidenced by a series of experimental results, the computation time required by a process to execute several instances of the same task on an asynchronous multiprocessor cannot be regarded as constant and is actually subject to important fluctuations. These fluctuations in computation times have a negative effect on the performance of parallel algorithms when several processes cooperating in the solution of a problem communicate extensively among themselves. In this case, when synchronization is used, it tends to introduce a prohibitive overhead which decreases the parallelism. On the other hand, an algorithm is presented to illustrate that the fluctuations are not always a negative factor but can also be utilized advantageously.

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”.

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.

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.

Download or read book Realistic Analysis of Parallel Dynamic Programming Algorithms written by University of Wisconsin--Madison. Computer Sciences Dept and published by . This book was released on 1992 with total page 32 pages. Available in PDF, EPUB and Kindle. Book excerpt: The algorithms we consider are a pipeline algorithm, where each processor i computes in order the entries of rows i, i + p and so on, where p is the number of processors; and a diagonal algorithm, where entries along each diagonal extending from the left to the top of the table are computed in turn. It is likely that the techniques used here can be used in the analysis of other algorithms that use barriers or pipelining techniques."

Download or read book An Asynchronous Parallel Algorithm for Linear Programming Based on the Simplex Method written by ManMohan S. Sodhi and published by . This book was released on 1994 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Download or read book Synchronized and Asynchronous Parallel Algorithms for Multiprocessors written by H. T. Kung and published by . This book was released on 1976 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel algorithms for multiprocessors are classified into synchronized and asynchronous algorithms. Important characteristics with respect to the design and analysis of the two types of algorithms are identified and discussed. Several examples of the two types of algorithms are considered in depth.

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

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:

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.

Download or read book Fundamental Results on Asynchronous Parallel Optimization Algorithms written by Robert Rafaeil Hannah and published by . This book was released on 2019 with total page 136 pages. Available in PDF, EPUB and Kindle. Book excerpt: In this thesis, we present a body of work on the performance and convergence properties of asynchronous-parallel algorithms completed over the course of my doctorate degree (Hannah, Feng, and Wotao Yin 2018; Hannah and Wotao Yin 2017b; T. Sun, Hannah, and Wotao Yin 2017; Hannah and Wotao Yin 2017a). Asynchronous algorithms eliminate the costly synchronization penalty of traditional synchronous-parallel algorithms. They do this by having computing nodes utilize the most recently available information to compute updates. However, it's not immediately clear whether the trade-off of eliminating synchronization penalty at the cost of using outdated information is favorable. We first give a comprehensive theoretical justification of the performance advantages of asynchronous algorithms, which we summarize as "Faster Iterations, Same Quality" (Hannah and Wotao Yin 2017a). Under a well-justified model, we show that asynchronous algorithms complete "Faster Iterations". Using renewal theory, we demonstrate how network delays, heterogeneous sub-problem difficulty and computing power greatly hinder synchronous algorithms, but have no impact on their asynchronous counterparts. We next prove the first exact convergence rate results for a variety of synchronous algorithms including synchronous ARock and synchronous randomized block coordinate descent (sync-RBCD). This allows us to make a fair comparison between these algorithms and their asynchronous counterparts. Finally, we show that a variety of asynchronous algorithms have a convergence rate that essentially matches the previously derived exact rates for synchronous counterparts so long as the delays are not too large. Hence asynchronous algorithms complete faster iteration that are of the "Same Quality" as synchronous algorithms. Therefore we conclude that a wide variety of asynchronous algorithms will always outcompete their synchronous counterparts if the delays are not too large, and especially at scale. Next, we present the first asynchonous Nesterov-accelerated algorithm that attains a speedup: A2BCD (Hannah, Feng, and Wotao Yin 2018). We first prove that A2BCD attains NU_ACDM's complexity to highest order. NU_ACDM is a state-of-the-art accelerated coordinate descent algorithm (Allen-Zhu, Qu, et al. 2016). Then we show that both A2BCD and NU_ACDM both have optimal complexity. Hence because A2BCD has faster iterations, and optimal complexity, it should be the fastest coordinate descent algorithm. We verify this with numerical experiments comparing A2BCD with NU_ACDM. We find that A2BCD is up to 4-5x faster than NU_ACDM, and hence conclude that our algorithm is the current fastest coordinate descent algorithm that exists. Finally, we derive a second-order ODE, which is the continuous-time limit of A2BCD. The ODE analysis motivates and clarifies our proof strategy. Lastly, we present earlier foundational work that comprises the basis of the technical innovations that made the previous results possible (Hannah and Wotao Yin 2017b). We show that ARock and its many special cases may converge even under unbounded delays (both stochastic and deterministic). These results sidestep longstanding impossibility results derived in the 1980s by making slightly stronger assumptions. They were also an early demonstration of the power of meticulous Lyapunov-function construction techniques pioneered in this body of work.

Download or read book Analysis of Parallel Asynchronous Schemes for the Auction Shortest Path Algorithm written by Lazaros Polymenakos and published by . This book was released on 1991 with total page 115 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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:

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" .

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.

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: