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Algorithms Sequential Parallel A Unified Approach

Author: Russ Miller
Publisher: Cengage Learning
ISBN: 1133366805
Size: 31.19 MB
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Equip yourself for success with a state-of-the-art approach to algorithms available only in Miller/Boxer’s ALGORITHMS SEQUENTIAL AND PARALLEL: A UNIFIED APPROACH, 3E. This unique and functional text gives you an introduction to algorithms and paradigms for modern computing systems, integrating the study of parallel and sequential algorithms within a focused presentation. With a wide range of practical exercises and engaging examples drawn from fundamental application domains, this book prepares you to design, analyze, and implement algorithms for modern computing systems. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Algorithms Sequential Parallel A Unified Approach

Author: Russ Miller
Publisher: Cengage Learning
ISBN: 1285663527
Size: 69.95 MB
Format: PDF, ePub, Mobi
View: 6479
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Equip yourself for success with a state-of-the-art approach to algorithms available only in Miller/Boxer's ALGORITHMS SEQUENTIAL AND PARALLEL: A UNIFIED APPROACH, 3E. This unique and functional text gives you an introduction to algorithms and paradigms for modern computing systems, integrating the study of parallel and sequential algorithms within a focused presentation. With a wide range of practical exercises and engaging examples drawn from fundamental application domains, this book prepares you to design, analyze, and implement algorithms for modern computing systems. Important Notice: Media content referenced within the product description or the product text may not be available in the ebook version.

Algorithms

Author: Kenneth A. Berman
Publisher: Course Technology Ptr
ISBN:
Size: 42.74 MB
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Provides in-depth coverage of traditional and current topics in sequential algorithms, and also gives a solid introduction to the theory of parallel and distributed algorithms reflecting the emergence of modern computing environments such as parallel computers, the Internet, cluster and grid computing.

Latin 2004 Theoretical Informatics

Author: Martin Farach-Colton
Publisher: Springer Science & Business Media
ISBN: 3540212582
Size: 63.41 MB
Format: PDF
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This volume contains the proceedings of the Latin American Theoretical Inf- matics (LATIN) conference that was held in Buenos Aires, Argentina, April 5–8, 2004. The LATIN series of symposia was launched in 1992 to foster interactions between the Latin American community and computer scientists around the world. This was the sixth event in the series, following S ̃ ao Paulo, Brazil (1992), Valparaiso, Chile (1995), Campinas, Brazil (1998), Punta del Este, Uruguay (2000), and Cancun, Mexico (2002). The proceedings of these conferences were also published by Springer-Verlag in the Lecture Notes in Computer Science series: Volumes 583, 911, 1380, 1776, and 2286, respectively. Also, as before, we published a selection of the papers in a special issue of a prestigious journal. We received 178 submissions. Each paper was assigned to four program c- mittee members, and 59 papers were selected. This was 80% more than the previous record for the number of submissions. We feel lucky to have been able to build on the solid foundation provided by the increasingly successful previous LATINs. And we are very grateful for the tireless work of Pablo Mart ́ ?nez L ́ opez, the Local Arrangements Chair. Finally, we thank Springer-Verlag for publishing these proceedings in its LNCS series.

Learning With Kernels

Author: Bernhard Schölkopf
Publisher: MIT Press
ISBN: 9780262194754
Size: 24.42 MB
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A comprehensive introduction to Support Vector Machines and related kernel methods.

Multicore And Gpu Programming

Author: Gerassimos Barlas
Publisher: Elsevier
ISBN: 0124171400
Size: 52.25 MB
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Multicore and GPU Programming offers broad coverage of the key parallel computing skillsets: multicore CPU programming and manycore "massively parallel" computing. Using threads, OpenMP, MPI, and CUDA, it teaches the design and development of software capable of taking advantage of today’s computing platforms incorporating CPU and GPU hardware and explains how to transition from sequential programming to a parallel computing paradigm. Presenting material refined over more than a decade of teaching parallel computing, author Gerassimos Barlas minimizes the challenge with multiple examples, extensive case studies, and full source code. Using this book, you can develop programs that run over distributed memory machines using MPI, create multi-threaded applications with either libraries or directives, write optimized applications that balance the workload between available computing resources, and profile and debug programs targeting multicore machines. Comprehensive coverage of all major multicore programming tools, including threads, OpenMP, MPI, and CUDA Demonstrates parallel programming design patterns and examples of how different tools and paradigms can be integrated for superior performance Particular focus on the emerging area of divisible load theory and its impact on load balancing and distributed systems Download source code, examples, and instructor support materials on the book's companion website

Parallel Algorithms

Author: Henri Casanova
Publisher: CRC Press
ISBN: 1584889462
Size: 43.48 MB
Format: PDF
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Focusing on algorithms for distributed-memory parallel architectures, Parallel Algorithms presents a rigorous yet accessible treatment of theoretical models of parallel computation, parallel algorithm design for homogeneous and heterogeneous platforms, complexity and performance analysis, and essential notions of scheduling. The book extracts fundamental ideas and algorithmic principles from the mass of parallel algorithm expertise and practical implementations developed over the last few decades. In the first section of the text, the authors cover two classical theoretical models of parallel computation (PRAMs and sorting networks), describe network models for topology and performance, and define several classical communication primitives. The next part deals with parallel algorithms on ring and grid logical topologies as well as the issue of load balancing on heterogeneous computing platforms. The final section presents basic results and approaches for common scheduling problems that arise when developing parallel algorithms. It also discusses advanced scheduling topics, such as divisible load scheduling and steady-state scheduling. With numerous examples and exercises in each chapter, this text encompasses both the theoretical foundations of parallel algorithms and practical parallel algorithm design.

Introduction To Parallel Algorithms

Author: C. Xavier
Publisher: John Wiley & Sons
ISBN: 9780471251828
Size: 10.98 MB
Format: PDF, Docs
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Parallel algorithms Made Easy The complexity of today's applications coupled with the widespread use of parallel computing has made the design and analysis of parallel algorithms topics of growing interest. This volume fills a need in the field for an introductory treatment of parallel algorithms-appropriate even at the undergraduate level, where no other textbooks on the subject exist. It features a systematic approach to the latest design techniques, providing analysis and implementation details for each parallel algorithm described in the book. Introduction to Parallel Algorithms covers foundations of parallel computing; parallel algorithms for trees and graphs; parallel algorithms for sorting, searching, and merging; and numerical algorithms. This remarkable book: * Presents basic concepts in clear and simple terms * Incorporates numerous examples to enhance students' understanding * Shows how to develop parallel algorithms for all classical problems in computer science, mathematics, and engineering * Employs extensive illustrations of new design techniques * Discusses parallel algorithms in the context of PRAM model * Includes end-of-chapter exercises and detailed references on parallel computing. This book enables universities to offer parallel algorithm courses at the senior undergraduate level in computer science and engineering. It is also an invaluable text/reference for graduate students, scientists, and engineers in computer science, mathematics, and engineering.

Data Structures And The Java Collections Framework

Author: William Collins
Publisher: McGraw-Hill Professional
ISBN: 9780073022659
Size: 13.47 MB
Format: PDF, ePub, Docs
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Data Structures and the Java Collections Framework, 2/e by William Collins teaches the fundamentals of data structures using java. This student-friendly book focuses on teaching students how to apply the concepts presented. To that end many applications and examples are included throughout the book. Collins also provides programming projects at the end of each chapter, which get students hands on with code. In the second edition, Collins has increased his coverage on teaching students to build data structures from scratch. He also continues to use the Java Collections Framework where appropriate. His goal is give students an excellent background in creating data structures themselves, as well as make them comfortable using the standard library. On-line Labs accompany this book and make it easy to have students start practice what they are learning. These labs can be used as open-labs, closed labs, or homework assignments and are designed to give students hands-on experience in programming. .Key Handles:• Teaches the fundamentals of data structures using JAVA• Applications and examples are included throughout the text• New!! On-Line labs make it easy for the students to apply what they are learning• Emphasis is on building structures from scratch Increased coverage on teaching students to build data structures from scratch• Goal of text is to give students background in creating data structures themselves and then making them comfortable using the standard library

Parallel Scientific Computing In C And Mpi

Author: George Em Karniadakis
Publisher: Cambridge University Press
ISBN: 110749477X
Size: 78.85 MB
Format: PDF, ePub, Mobi
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Numerical algorithms, modern programming techniques, and parallel computing are often taught serially across different courses and different textbooks. The need to integrate concepts and tools usually comes only in employment or in research - after the courses are concluded - forcing the student to synthesise what is perceived to be three independent subfields into one. This book provides a seamless approach to stimulate the student simultaneously through the eyes of multiple disciplines, leading to enhanced understanding of scientific computing as a whole. The book includes both basic as well as advanced topics and places equal emphasis on the discretization of partial differential equations and on solvers. Some of the advanced topics include wavelets, high-order methods, non-symmetric systems, and parallelization of sparse systems. The material covered is suited to students from engineering, computer science, physics and mathematics.