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Author : Daniel Cederman
Publisher :
ISBN 13 : 9789173855037
Total Pages : 156 pages
Book Rating : 4.8/5 (55 download)
Download or read book Concurrent Algorithms and Data Structures for Many-core Processors written by Daniel Cederman and published by . This book was released on 2011 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Aravind Natarajan
Publisher :
ISBN 13 :
Total Pages : 274 pages
Book Rating : 4.:/5 (972 download)
Download or read book Concurrent Algorithms for Binary Search Trees written by Aravind Natarajan and published by . This book was released on 2016 with total page 274 pages. Available in PDF, EPUB and Kindle. Book excerpt: With processor designers shifting their focus to multi-core architectures, concurrent data structures have acquired new importance. Multiple processes may operate in parallel on such a data structure, and contention between them must be managed such that all operations complete successfully and leave the data structure in a valid state. Concurrent algorithms may be blocking, or non-blocking. In a blocking algorithm, two processes may not operate concurrently on the same part of the data structure. Only the process that successfully obtains a lock on that portion of the data structure may modify it. Other processes need to wait until the lock is released, and are thus blocked by the process owning the lock. In a non-blocking algorithm, a suspended process does not inhibit other processes from making progress. This is typically achieved through the technique of helping, where a process makes information about the operation it is trying to execute globally available. Whenever another process encounters this operation, it helps move it out of the way. We present new blocking and non-blocking algorithms for concurrently manipulating a binary search tree, in an asynchronous shared memory system. A binary search tree is a fundamental data structure in computer science, and is commonly used to implement the dictionary abstract data type. Red-black trees are a type of self-balancing binary search tree, that provide logarithmic worst-case time complexities for operations. We consider both unbalanced binary search trees, as well as red-black trees and develop concurrent algorithms for them. All our algorithms are direct; they can be implemented on commonly available hardware without assuming any underlying system support such as software transactional memory. We also present an experimental comparison of our algorithms against other known algorithms for binary search trees. Experiments reveal that our algorithms perform best in most, if not all, cases.
Author : Peter Sanders
Publisher : Springer Nature
ISBN 13 : 3030252094
Total Pages : 509 pages
Book Rating : 4.0/5 (32 download)
Download or read book Sequential and Parallel Algorithms and Data Structures written by Peter Sanders and published by Springer Nature. This book was released on 2019-08-31 with total page 509 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook is a concise introduction to the basic toolbox of structures that allow efficient organization and retrieval of data, key algorithms for problems on graphs, and generic techniques for modeling, understanding, and solving algorithmic problems. The authors aim for a balance between simplicity and efficiency, between theory and practice, and between classical results and the forefront of research. Individual chapters cover arrays and linked lists, hash tables and associative arrays, sorting and selection, priority queues, sorted sequences, graph representation, graph traversal, shortest paths, minimum spanning trees, optimization, collective communication and computation, and load balancing. The authors also discuss important issues such as algorithm engineering, memory hierarchies, algorithm libraries, and certifying algorithms. Moving beyond the sequential algorithms and data structures of the earlier related title, this book takes into account the paradigm shift towards the parallel processing required to solve modern performance-critical applications and how this impacts on the teaching of algorithms. The book is suitable for undergraduate and graduate students and professionals familiar with programming and basic mathematical language. Most chapters have the same basic structure: the authors discuss a problem as it occurs in a real-life situation, they illustrate the most important applications, and then they introduce simple solutions as informally as possible and as formally as necessary so the reader really understands the issues at hand. As they move to more advanced and optional issues, their approach gradually leads to a more mathematical treatment, including theorems and proofs. The book includes many examples, pictures, informal explanations, and exercises, and the implementation notes introduce clean, efficient implementations in languages such as C++ and Java.
Author : J. W. Dally
Publisher : Springer Science & Business Media
ISBN 13 : 1461319951
Total Pages : 256 pages
Book Rating : 4.4/5 (613 download)
Download or read book A VLSI Architecture for Concurrent Data Structures written by J. W. Dally and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Concurrent data structures simplify the development of concurrent programs by encapsulating commonly used mechanisms for synchronization and commu nication into data structures. This thesis develops a notation for describing concurrent data structures, presents examples of concurrent data structures, and describes an architecture to support concurrent data structures. Concurrent Smalltalk (CST), a derivative of Smalltalk-80 with extensions for concurrency, is developed to describe concurrent data structures. CST allows the programmer to specify objects that are distributed over the nodes of a concurrent computer. These distributed objects have many constituent objects and thus can process many messages simultaneously. They are the foundation upon which concurrent data structures are built. The balanced cube is a concurrent data structure for ordered sets. The set is distributed by a balanced recursive partition that maps to the subcubes of a binary 7lrcube using a Gray code. A search algorithm, VW search, based on the distance properties of the Gray code, searches a balanced cube in O(log N) time. Because it does not have the root bottleneck that limits all tree-based data structures to 0(1) concurrency, the balanced cube achieves 0C.:N) con currency. Considering graphs as concurrent data structures, graph algorithms are pre sented for the shortest path problem, the max-flow problem, and graph parti tioning. These algorithms introduce new synchronization techniques to achieve better performance than existing algorithms.
Author : Sushil K Prasad
Publisher : Morgan Kaufmann
ISBN 13 : 0128039388
Total Pages : 359 pages
Book Rating : 4.1/5 (28 download)
Download or read book Topics in Parallel and Distributed Computing written by Sushil K Prasad and published by Morgan Kaufmann. This book was released on 2015-09-16 with total page 359 pages. Available in PDF, EPUB and Kindle. Book excerpt: Topics in Parallel and Distributed Computing provides resources and guidance for those learning PDC as well as those teaching students new to the discipline. The pervasiveness of computing devices containing multicore CPUs and GPUs, including home and office PCs, laptops, and mobile devices, is making even common users dependent on parallel processing. Certainly, it is no longer sufficient for even basic programmers to acquire only the traditional sequential programming skills. The preceding trends point to the need for imparting a broad-based skill set in PDC technology. However, the rapid changes in computing hardware platforms and devices, languages, supporting programming environments, and research advances, poses a challenge both for newcomers and seasoned computer scientists. This edited collection has been developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts into courses throughout computer science curricula. Contributed and developed by the leading minds in parallel computing research and instruction Provides resources and guidance for those learning PDC as well as those teaching students new to the discipline Succinctly addresses a range of parallel and distributed computing topics Pedagogically designed to ensure understanding by experienced engineers and newcomers Developed over the past several years in conjunction with the IEEE technical committee on parallel processing (TCPP), which held several workshops and discussions on learning parallel computing and integrating parallel concepts
Author : Sabri Pllana
Publisher : John Wiley & Sons
ISBN 13 : 1119331994
Total Pages : 522 pages
Book Rating : 4.1/5 (193 download)
Download or read book Programming Multicore and Many-core Computing Systems written by Sabri Pllana and published by John Wiley & Sons. This book was released on 2017-01-23 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming multi-core and many-core computing systems Sabri Pllana, Linnaeus University, Sweden Fatos Xhafa, Technical University of Catalonia, Spain Provides state-of-the-art methods for programming multi-core and many-core systems The book comprises a selection of twenty two chapters covering: fundamental techniques and algorithms; programming approaches; methodologies and frameworks; scheduling and management; testing and evaluation methodologies; and case studies for programming multi-core and many-core systems. Program development for multi-core processors, especially for heterogeneous multi-core processors, is significantly more complex than for single-core processors. However, programmers have been traditionally trained for the development of sequential programs, and only a small percentage of them have experience with parallel programming. In the past, only a relatively small group of programmers interested in High Performance Computing (HPC) was concerned with the parallel programming issues, but the situation has changed dramatically with the appearance of multi-core processors on commonly used computing systems. It is expected that with the pervasiveness of multi-core processors, parallel programming will become mainstream. The pervasiveness of multi-core processors affects a large spectrum of systems, from embedded and general-purpose, to high-end computing systems. This book assists programmers in mastering the efficient programming of multi-core systems, which is of paramount importance for the software-intensive industry towards a more effective product-development cycle. Key features: Lessons, challenges, and roadmaps ahead. Contains real world examples and case studies. Helps programmers in mastering the efficient programming of multi-core and many-core systems. The book serves as a reference for a larger audience of practitioners, young researchers and graduate level students. A basic level of programming knowledge is required to use this book.
Author : Clay Breshears
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596555784
Total Pages : 306 pages
Book Rating : 4.5/5 (965 download)
Download or read book The Art of Concurrency written by Clay Breshears and published by "O'Reilly Media, Inc.". This book was released on 2009-05-07 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: If you're looking to take full advantage of multi-core processors with concurrent programming, this practical book provides the knowledge and hands-on experience you need. The Art of Concurrency is one of the few resources to focus on implementing algorithms in the shared-memory model of multi-core processors, rather than just theoretical models or distributed-memory architectures. The book provides detailed explanations and usable samples to help you transform algorithms from serial to parallel code, along with advice and analysis for avoiding mistakes that programmers typically make when first attempting these computations. Written by an Intel engineer with over two decades of parallel and concurrent programming experience, this book will help you: Understand parallelism and concurrency Explore differences between programming for shared-memory and distributed-memory Learn guidelines for designing multithreaded applications, including testing and tuning Discover how to make best use of different threading libraries, including Windows threads, POSIX threads, OpenMP, and Intel Threading Building Blocks Explore how to implement concurrent algorithms that involve sorting, searching, graphs, and other practical computations The Art of Concurrency shows you how to keep algorithms scalable to take advantage of new processors with even more cores. For developing parallel code algorithms for concurrent programming, this book is a must.
Author : Michael Voss
Publisher : Apress
ISBN 13 : 1484243986
Total Pages : 854 pages
Book Rating : 4.4/5 (842 download)
Download or read book Pro TBB written by Michael Voss and published by Apress. This book was released on 2019-07-09 with total page 854 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book is a modern guide for all C++ programmers to learn Threading Building Blocks (TBB). Written by TBB and parallel programming experts, this book reflects their collective decades of experience in developing and teaching parallel programming with TBB, offering their insights in an approachable manner. Throughout the book the authors present numerous examples and best practices to help you become an effective TBB programmer and leverage the power of parallel systems. Pro TBB starts with the basics, explaining parallel algorithms and C++'s built-in standard template library for parallelism. You'll learn the key concepts of managing memory, working with data structures and how to handle typical issues with synchronization. Later chapters apply these ideas to complex systems to explain performance tradeoffs, mapping common parallel patterns, controlling threads and overhead, and extending TBB to program heterogeneous systems or system-on-chips. What You'll Learn Use Threading Building Blocks to produce code that is portable, simple, scalable, and more understandableReview best practices for parallelizing computationally intensive tasks in your applications Integrate TBB with other threading packages Create scalable, high performance data-parallel programs Work with generic programming to write efficient algorithms Who This Book Is For C++ programmers learning to run applications on multicore systems, as well as C or C++ programmers without much experience with templates. No previous experience with parallel programming or multicore processors is required.
Author : Eleni Kanellou
Publisher :
ISBN 13 :
Total Pages : 0 pages
Book Rating : 4.:/5 (957 download)
Download or read book Data Structures for Current Multi-core and Future Many-core Architectures written by Eleni Kanellou and published by . This book was released on 2015 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Though a majority of current processor architectures relies on shared, cache-coherent memory, current prototypes that integrate large amounts of cores, connected through a message-passing substrate, indicate that architectures of the near future may have these characteristics. Either of those tendencies requires that processes execute in parallel, making concurrent programming a necessary tool. The inherent difficulty of reasoning about concurrency, however, may make the new processor architectures hard to program. In order to deal with issues such as this, we explore approaches for providing ease of programmability. We propose WFR-TM, an approach based on transactional memory (TM), which is a concurrent programming paradigm that employs transactions in order to synchronize the access to shared data. A transaction may either commit, making its updates visible, or abort, discarding its updates. WFR-TM combines desirable characteristics of pessimistic and optimistic TM. In a pessimistic TM, no transaction ever aborts; however, in order to achieve that, existing TM algorithms employ locks in order to execute update transactions sequentially, decreasing the degree of achieved parallelism. Optimistic TMs execute all transactions concurrently but commit them only if they have encountered no conflict during their execution. WFR-TM provides read-only transactions that are wait-free, without ever executing expensive synchronization operations (like CAS, LL/SC, etc), or sacrificing the parallelism between update transactions. We further present Dense, a concurrent graph implementation. Graphs are versatile data structures that allow the implementation of a variety of applications. However, multi-process applications that rely on graphs still largely use a sequential implementation. We introduce an innovative concurrent graph model that provides addition and removal of any edge of the graph, as well as atomic traversals of a part (or the entirety) of the graph. Dense achieves wait-freedom by relying on light-weight helping and provides the inbuilt capability of performing a partial snapshot on a dynamically determined subset of the graph. We finally aim at predicted future architectures. In the interest of ode reuse and of a common paradigm, there is recent momentum towards porting software runtime environments, originally intended for shared-memory settings, onto non-cache-coherent machines. JVM, the runtime environment of the high-productivity language Java, is a notable example. Concurrent data structure implementations are important components of the libraries that environments like these incorporate. With the goal of contributing to this effort, we study general techniques for implementing distributed data structures assuming they have to run on many-core architectures that offer either partially cache-coherent memory or no cache coherence at all and present implementations of stacks, queues, and lists.
Author : Kenneth Platz
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (116 download)
Download or read book Saturation in Lock-based Concurrent Data Structures written by Kenneth Platz and published by . This book was released on 2017 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt: For over three decades, computer scientists enjoyed a "free lunch" inasmuch as they could depend on processor speeds doubling every three years. This all came to an end in the mid-2000's, when manufacturers ceased increasing processor speeds and instead focused on designing processors with multiple independent execution units on each chip. The demands for ever increasing performance continue to grow in this era of multicore and manycore processors. One way to satisfy this demand is to continue developing efficient data structures which permit multiple concurrent readers and writers while guaranteeing correct behavior. Concurrent data structures synchronize via either locks or atomic read-modify-write instructions (such as Compare-and-Swap). Lock-based data structures are typically less challenging to design, but lock-free data structures can provide stronger progress guarantees. We first develop two variants of existing lock-based concurrent data structures, a linked list and a skiplist. We demonstrate how we can {\em unroll} these data structures to support multiple keys per node. This substantially improves the performance in these data structures when compared to other similar data structures. We next demonstrate how lock-based data structures can {\em saturate}, or plateau in performance, at sufficiently high thread counts, dependent upon the percentage of write operations applied to that data structure. We then discuss how we can apply a new technique involving {\em group mutual exclusion} to provide a lock-based data structure which is resilient to saturation. We then demonstrate how this technique can be applied to our implementations of linked lists and skiplists to provide scalable performance to 250 threads and beyond. Our implementations provide excellent throughput for a wide variety of workloads, outperforming many similar lock-based and lock-free data structures. We further discuss how these techniques might apply to other data structures and provide several avenues for future research.
Author : Shadi Ibrahim
Publisher : Springer
ISBN 13 : 3319654829
Total Pages : 836 pages
Book Rating : 4.3/5 (196 download)
Download or read book Algorithms and Architectures for Parallel Processing written by Shadi Ibrahim and published by Springer. This book was released on 2017-08-09 with total page 836 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 17th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2017, held in Helsinki, Finland, in August 2017. The 25 full papers presented were carefully reviewed and selected from 117 submissions. They cover topics such as parallel and distributed architectures; software systems and programming models; distributed and network-based computing; big data and its applications; parallel and distributed algorithms; applications of parallel and distributed computing; service dependability and security in distributed and parallel systems; service dependability and security in distributed and parallel systems; performance modeling and evaluation.This volume also includes 41 papers of four workshops, namely: the 4th International Workshop on Data, Text, Web, and Social Network Mining (DTWSM 2017), the 5th International Workshop on Parallelism in Bioinformatics (PBio 2017), the First International Workshop on Distributed Autonomous Computing in Smart City (DACSC 2017), and the Second International Workshop on Ultrascale Computing for Early Researchers (UCER 2017).
Author :
Publisher : Cybellium Ltd
ISBN 13 :
Total Pages : 225 pages
Book Rating : 4.8/5 (636 download)
Download or read book Mastering Algorithms and Data Structures written by and published by Cybellium Ltd. This book was released on with total page 225 pages. Available in PDF, EPUB and Kindle. Book excerpt: Unleash the Power of Efficient Problem-Solving In the realm of computer science and programming, algorithms and data structures are the building blocks of efficient problem-solving. "Mastering Algorithms and Data Structures" is your essential guide to understanding and harnessing the potential of these foundational concepts, empowering you to create optimized and elegant solutions. About the Book: As technology evolves and computational challenges grow more complex, a solid foundation in algorithms and data structures becomes crucial for programmers and engineers. "Mastering Algorithms and Data Structures" offers an in-depth exploration of these core concepts—an indispensable toolkit for professionals and enthusiasts alike. This book caters to both beginners and experienced programmers aiming to excel in algorithmic thinking, problem-solving, and code optimization. Key Features: Algorithmic Fundamentals: Begin by understanding the core principles of algorithms. Learn how algorithms drive the execution of tasks and solve computational problems. Data Structures: Dive into the world of data structures. Explore arrays, linked lists, stacks, queues, trees, and graphs—the fundamental building blocks of organizing and storing data. Algorithm Analysis: Grasp the art of analyzing algorithm complexity. Learn how to measure time and space efficiency to ensure optimal algorithm performance. Searching and Sorting Algorithms: Explore essential searching and sorting algorithms. Understand how to search for data efficiently and how to sort data for easier manipulation. Dynamic Programming: Understand the power of dynamic programming. Learn how to break down complex problems into smaller subproblems for efficient solving. Graph Algorithms: Delve into graph algorithms. Explore techniques for traversing graphs, finding shortest paths, and detecting cycles. String Algorithms: Grasp techniques for manipulating and analyzing strings. Learn how to search for patterns, match substrings, and perform string transformations. Real-World Applications: Gain insights into how algorithms and data structures are applied across industries. From software development to machine learning, discover the diverse applications of these concepts. Why This Book Matters: In a digital age driven by technological innovation, mastering algorithms and data structures is a competitive advantage. "Mastering Algorithms and Data Structures" empowers programmers, software engineers, and technology enthusiasts to leverage these foundational concepts, enabling them to create efficient, elegant, and optimized solutions that solve complex computational problems. Unlock the Potential of Problem-Solving: In the landscape of computer science, algorithms and data structures are the keys to efficient problem-solving. "Mastering Algorithms and Data Structures" equips you with the knowledge needed to leverage these foundational concepts, enabling you to design elegant and optimized solutions to a wide range of computational challenges. Whether you're an experienced programmer or new to the world of algorithms, this book will guide you in building a solid foundation for effective problem-solving and algorithmic thinking. Your journey to mastering algorithms and data structures starts here. © 2023 Cybellium Ltd. All rights reserved. www.cybellium.com
Author : Krishna Siddharth
Publisher : Springer Nature
ISBN 13 : 3031018060
Total Pages : 182 pages
Book Rating : 4.0/5 (31 download)
Download or read book Automated Verification of Concurrent Search Structures written by Krishna Siddharth and published by Springer Nature. This book was released on 2022-05-31 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: Search structures support the fundamental data storage primitives on key-value pairs: insert a pair, delete by key, search by key, and update the value associated with a key. Concurrent search structures are parallel algorithms to speed access to search structures on multicore and distributed servers. These sophisticated algorithms perform fine-grained synchronization between threads, making them notoriously difficult to design correctly. Indeed, bugs have been found both in actual implementations and in the designs proposed by experts in peer-reviewed publications. The rapid development and deployment of these concurrent algorithms has resulted in a rift between the algorithms that can be verified by the state-of-the-art techniques and those being developed and used today. The goal of this book is to show how to bridge this gap in order to bring the certified safety of formal verification to high-performance concurrent search structures. Similar techniques and frameworks can be applied to concurrent graph and network algorithms beyond search structures.
Author :
Publisher :
ISBN 13 :
Total Pages : 92 pages
Book Rating : 4.:/5 (942 download)
Download or read book Efficient Implementation of Concurrent Data Structures on Multi-core and Many-core Architectures written by and published by . This book was released on 2015 with total page 92 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jaideep Vaidya
Publisher : Springer
ISBN 13 : 3030050513
Total Pages : 660 pages
Book Rating : 4.0/5 (3 download)
Download or read book Algorithms and Architectures for Parallel Processing written by Jaideep Vaidya and published by Springer. This book was released on 2018-12-06 with total page 660 pages. Available in PDF, EPUB and Kindle. Book excerpt: The four-volume set LNCS 11334-11337 constitutes the proceedings of the 18th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2018, held in Guangzhou, China, in November 2018. The 141 full and 50 short papers presented were carefully reviewed and selected from numerous submissions. The papers are organized in topical sections on Distributed and Parallel Computing; High Performance Computing; Big Data and Information Processing; Internet of Things and Cloud Computing; and Security and Privacy in Computing.
Author : Lillian Tsai
Publisher :
ISBN 13 :
Total Pages : 141 pages
Book Rating : 4.:/5 (995 download)
Download or read book Concurrent Algorithms in Transactional Data Structures written by Lillian Tsai and published by . This book was released on 2017 with total page 141 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Yang Xiang
Publisher : Springer
ISBN 13 : 3642330789
Total Pages : 581 pages
Book Rating : 4.6/5 (423 download)
Download or read book Algorithms and Architectures for Parallel Processing written by Yang Xiang and published by Springer. This book was released on 2012-09-04 with total page 581 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two volume set LNCS 7439 and 7440 comprises the proceedings of the 12th International Conference on Algorithms and Architectures for Parallel Processing, ICA3PP 2012, as well as some workshop papers of the CDCN 2012 workshop which was held in conjunction with this conference. The 40 regular paper and 26 short papers included in these proceedings were carefully reviewed and selected from 156 submissions. The CDCN workshop attracted a total of 19 original submissions, 8 of which are included in part II of these proceedings. The papers cover many dimensions of parallel algorithms and architectures, encompassing fundamental theoretical approaches, practical experimental results, and commercial components and systems.
