Parallelism Learning Evolution
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Oneflow For Parallel And Distributed Deep Learning Systems
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Author : William Smith
language : en
Publisher: HiTeX Press
Release Date : 2025-07-12
Oneflow For Parallel And Distributed Deep Learning Systems written by William Smith and has been published by HiTeX Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-07-12 with Computers categories.
"OneFlow for Parallel and Distributed Deep Learning Systems" In a rapidly evolving landscape of machine learning infrastructure, "OneFlow for Parallel and Distributed Deep Learning Systems" provides a comprehensive and authoritative exploration of the OneFlow framework as a cornerstone for large-scale deep learning. Through an expert survey of distributed learning architectures, the book delves into OneFlow’s core system principles, innovative design philosophies, and its architectural evolution in comparison to platforms like TensorFlow, PyTorch, Horovod, and MXNet. It thoroughly addresses the foundational challenges inherent in scaling neural network training across cloud, cluster, and high-performance computing environments, presenting both the formal models and practical paradigms that underpin efficient parallelism. The text offers an in-depth technical journey into every critical component of the OneFlow architecture—from scheduling, resource management, and data pipelines to elasticity and fault recovery. Readers will find rigorous coverage of parallelism techniques, encompassing data, model, and pipeline parallelism, hybrid strategies, as well as device placement and load balancing for optimal efficiency. With advanced sections dedicated to state-of-the-art communication protocols, synchronization models, and hardware-aware optimizations, the book equips practitioners to maximize throughput and resilience in both research and production environments. Beyond architectural mastery, this book bridges theory with practice through hands-on guidance in cluster deployment, monitoring, security, debugging, and extensibility for heterogeneous backends. Case studies illuminate end-to-end applications in vision, NLP, and multimodal domains, while sections on federated learning, green AI, and compiler integration reveal emerging frontiers. Culminating with community-driven innovations and lessons from real-world deployments, this volume is an essential resource for engineers, researchers, and technical leaders seeking to harness the full potential of scalable, distributed deep learning with OneFlow.
Parallel Problem Solving From Nature Ppsn Iii
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Author : Yuval Davidor
language : en
Publisher: Springer Science & Business Media
Release Date : 1994-09-21
Parallel Problem Solving From Nature Ppsn Iii written by Yuval Davidor and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1994-09-21 with Computers categories.
The challenges in ecosystem science encompass a broadening and strengthening of interdisciplinary ties, the transfer of knowledge of the ecosystem across scales, and the inclusion of anthropogenic impacts and human behavior into ecosystem, landscape, and regional models. The volume addresses these points within the context of studies in major ecosystem types viewed as the building blocks of central European landscapes. The research is evaluated to increase the understanding of the processes in order to unite ecosystem science with resource management. The comparison embraces coastal lowland forests, associated wetlands and lakes, agricultural land use, and montane and alpine forests. Techniques for upscaling focus on process modelling at stand and landscape scales and the use of remote sensing for landscape-level model parameterization and testing. The case studies demonstrate ways for ecosystem scientists, managers, and social scientists to cooperate.
Parallelism Learning Evolution
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Author : J.D. Becker
language : en
Publisher: Springer Science & Business Media
Release Date : 1991-12-04
Parallelism Learning Evolution written by J.D. Becker and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1991-12-04 with Computers categories.
This volume presents the proceedings of a workshop on evolutionary models and strategies and another workshop on parallel processing, logic, organization, and technology, both held in Germany in 1989. In the search for new concepts relevant for parallel and distributed processing, the workshop on parallel processing included papers on aspects of space and time, representations of systems, non-Boolean logics, metrics, dynamics and structure, and superposition and uncertainties. The point was stressed that distributed representations of information may share features with quantum physics, such as the superposition principle and the uncertainty relations. Much of the volume contains material on general parallel processing machines, neural networks, and system-theoretic aspects. The material on evolutionary strategies is included because these strategies will yield important and powerful applications for parallel processing machines, and open the wayto new problem classes to be treated by computers.
Handbook Of Combinatorial Optimization
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Author : Ding-Zhu Du
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-12-01
Handbook Of Combinatorial Optimization written by Ding-Zhu Du and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-01 with Mathematics categories.
Combinatorial (or discrete) optimization is one of the most active fields in the interface of operations research, computer science, and applied math ematics. Combinatorial optimization problems arise in various applications, including communications network design, VLSI design, machine vision, air line crew scheduling, corporate planning, computer-aided design and man ufacturing, database query design, cellular telephone frequency assignment, constraint directed reasoning, and computational biology. Furthermore, combinatorial optimization problems occur in many diverse areas such as linear and integer programming, graph theory, artificial intelligence, and number theory. All these problems, when formulated mathematically as the minimization or maximization of a certain function defined on some domain, have a commonality of discreteness. Historically, combinatorial optimization starts with linear programming. Linear programming has an entire range of important applications including production planning and distribution, personnel assignment, finance, alloca tion of economic resources, circuit simulation, and control systems. Leonid Kantorovich and Tjalling Koopmans received the Nobel Prize (1975) for their work on the optimal allocation of resources. Two important discover ies, the ellipsoid method (1979) and interior point approaches (1984) both provide polynomial time algorithms for linear programming. These algo rithms have had a profound effect in combinatorial optimization. Many polynomial-time solvable combinatorial optimization problems are special cases of linear programming (e.g. matching and maximum flow). In addi tion, linear programming relaxations are often the basis for many approxi mation algorithms for solving NP-hard problems (e.g. dualheuristics).
Parallel Problem Solving From Nature Ppsn Xvii
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Author : Günter Rudolph
language : en
Publisher: Springer Nature
Release Date : 2022-08-15
Parallel Problem Solving From Nature Ppsn Xvii written by Günter Rudolph and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-08-15 with Computers categories.
This two-volume set LNCS 13398 and LNCS 13399 constitutes the refereed proceedings of the 17th International Conference on Parallel Problem Solving from Nature, PPSN 2022, held in Dortmund, Germany, in September 2022. The 87 revised full papers were carefully reviewed and selected from numerous submissions. The conference presents a study of computing methods derived from natural models. Amorphous Computing, Artificial Life, Artificial Ant Systems, Artificial Immune Systems, Artificial Neural Networks, Cellular Automata, Evolutionary Computation, Swarm Computing, Self-Organizing Systems, Chemical Computation, Molecular Computation, Quantum Computation, Machine Learning, and Artificial Intelligence approaches using Natural Computing methods are just some of the topics covered in this field.
Applied Parallel And Scientific Computing
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Author : Pekka Manninen
language : en
Publisher: Springer
Release Date : 2013-02-12
Applied Parallel And Scientific Computing written by Pekka Manninen and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-02-12 with Computers categories.
This volume constitutes the refereed proceedings of the 11th International Conference on Applied Parallel and Scientific Computing, PARA 2012, held in Helsinki, Finland, in June 2012. The 35 revised full papers presented were selected from numerous submissions and are organized in five technical sessions covering the topics of advances in HPC applications, parallel algorithms, performance analyses and optimization, application of parallel computing in industry and engineering, and HPC interval methods. In addition, three of the topical minisymposia are described by a corresponding overview article on the minisymposia topic. In order to cover the state-of-the-art of the field, at the end of the book a set of abstracts describe some of the conference talks not elaborated into full articles.
Extensions Of Logic Programming
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Author : Evelina Lamma
language : en
Publisher: Springer Science & Business Media
Release Date : 1993-02-12
Extensions Of Logic Programming written by Evelina Lamma and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1993-02-12 with Computers categories.
This book contains papers which investigate how to extend logic programming toward the artificial intelligence and software engineering areas, covering both theoretical and practical aspects. Some papers investigate topics such as abductive reasoning and negation. Some works discuss how to enhance the expressive power of logic programming by introducing constraints, sets, and integration with functional programming. Other papers deal with the structuring of knowledge into modules, taxonomies, and objects, withthe aim of extending logic programming toward software engineering applications. A section is devoted to papers concentrating on proof theory and inspired by Gentzen-style sequent or natural deduction systems. Topics such as concurrency are considered to enhance the expressive power of logic languages. Finally, some papers mainly concernimplementation techniques for some of these logic programming extensions.
Genetic Algorithms For Control And Signal Processing
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Author : Kim F. Man
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06
Genetic Algorithms For Control And Signal Processing written by Kim F. Man and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.
The series Advances in Industrial Control aims to report and encourage technology transfer in control engineering. The rapid development of control technology impacts all areas of the control discipline. New theory, new controllers, actuators, sensors, new industrial processes, computer methods, new applications, new philosophies, . . . , new challenges. Much of this development work resides in industrial reports, feasibility study papers and the reports of advanced collaborative projects. The series offers an opportunity for researchers to present an extended exposition of such new work in all aspects of industrial control for wider and rapid dissemination. The emerging technologies in control include fuzzy logic, intelligent control, neural networks and hardware developments like micro-electro-mechanical systems and autonomous vehicles. This volume describes the biological background, basic construction and application of the emerging technology of Genetic Algorithms. Dr Kim Man and his colleagues have written a book which is both a primer introducing the basic concepts and a research text which describes some of the more advanced applications of the genetic algorithmic method. The applications described are especially useful since they indicate the power of the GA method in solving a wide range of problems. These sections are also instructive in showing how the mechanics of the GA solutions are obtained thereby acting as a template for similar types of problems. The volume is a very welcome contribution to the Advances in Industrial Control Series. M. J. Grimble and M. A.
Computer Algebra And Parallelism
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Author : Richard E. Zippel
language : en
Publisher: Springer Science & Business Media
Release Date : 1992-03-25
Computer Algebra And Parallelism written by Richard E. Zippel and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 1992-03-25 with Computers categories.
This book contains papers presented at a workshop on the use of parallel techniques in symbolic and algebraic computation held at Cornell University in May 1990. The eight papers in the book fall into three groups. The first three papers discuss particular programming substrates for parallel symbolic computation, especially for distributed memory machines. The next three papers discuss novel ways of computing with elements of finite fields and with algebraic numbers. The finite field technique is especially interesting since it uses the Connection Machine, a SIMD machine, to achievesurprising amounts of parallelism. One of the parallel computing substrates is also used to implement a real root isolation technique. One of the crucial algorithms in modern algebraic computation is computing the standard, or Gr|bner, basis of an ideal. The final two papers discuss two different approaches to speeding their computation. One uses vector processing on the Cray and achieves significant speed-ups. The other uses a distributed memory multiprocessor and effectively explores the trade-offs involved with different interconnect topologies of the multiprocessors.
Analyzing Evolutionary Algorithms
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Author : Thomas Jansen
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-01-24
Analyzing Evolutionary Algorithms written by Thomas Jansen and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-01-24 with Computers categories.
Evolutionary algorithms is a class of randomized heuristics inspired by natural evolution. They are applied in many different contexts, in particular in optimization, and analysis of such algorithms has seen tremendous advances in recent years. In this book the author provides an introduction to the methods used to analyze evolutionary algorithms and other randomized search heuristics. He starts with an algorithmic and modular perspective and gives guidelines for the design of evolutionary algorithms. He then places the approach in the broader research context with a chapter on theoretical perspectives. By adopting a complexity-theoretical perspective, he derives general limitations for black-box optimization, yielding lower bounds on the performance of evolutionary algorithms, and then develops general methods for deriving upper and lower bounds step by step. This main part is followed by a chapter covering practical applications of these methods. The notational and mathematical basics are covered in an appendix, the results presented are derived in detail, and each chapter ends with detailed comments and pointers to further reading. So the book is a useful reference for both graduate students and researchers engaged with the theoretical analysis of such algorithms.