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Euro Par 2024 Parallel Processing
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Book Synopsis Euro-Par 2024: Parallel Processing by : Jesus Carretero
Download or read book Euro-Par 2024: Parallel Processing written by Jesus Carretero and published by Springer Nature. This book was released on with total page 433 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Euro-Par 2023: Parallel Processing Workshops by : Demetris Zeinalipour
Download or read book Euro-Par 2023: Parallel Processing Workshops written by Demetris Zeinalipour and published by Springer Nature. This book was released on with total page 369 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Euro-Par 2024: Parallel Processing by : Jesus Carretero
Download or read book Euro-Par 2024: Parallel Processing written by Jesus Carretero and published by Springer Nature. This book was released on with total page 430 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Euro-Par 2024: Parallel Processing by : Jesus Carretero
Download or read book Euro-Par 2024: Parallel Processing written by Jesus Carretero and published by Springer Nature. This book was released on with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Euro-Par 2024: Parallel Processing by : Jesus Carretero
Download or read book Euro-Par 2024: Parallel Processing written by Jesus Carretero and published by Springer. This book was released on 2024-09-29 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 14801, 14802, and 14803 constitutes the proceedings of the 30th European Conference on Parallel and Distributed Processing, Euro-Par 2024, which took place in Madrid, Spain, during August 26–30, 2024. The 88 full papers included in the proceedings were carefully reviewed and selected from 293 submissions. They were organized in topical sections as follows: Part I: Programmind, compilers, and performance; scheduling, resource management, cloud, edge computing, and workflows; Part II: Architectures and accelerators; data analytics, AI and computational science; Part III: Theory and algorithms; multidisciplinary, domain-specific and applied parallel and distributed computing.
Book Synopsis Euro-Par 2024: Parallel Processing by : Jesus Carretero
Download or read book Euro-Par 2024: Parallel Processing written by Jesus Carretero and published by Springer. This book was released on 2024-09-30 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 14801, 14802, and 14803 constitutes the proceedings of the 30th European Conference on Parallel and Distributed Processing, Euro-Par 2024, which took place in Madrid, Spain, during August 26–30, 2024. The 88 full papers included in the proceedings were carefully reviewed and selected from 293 submissions. They were organized in topical sections as follows: Part I: Programming, compilers, and performance; scheduling, resource management, cloud, edge computing, and workflows; Part II: Architectures and accelerators; data analytics, AI and computational science; Part III: Theory and algorithms; multidisciplinary, domain-specific and applied parallel and distributed computing.
Book Synopsis Euro-Par 2024: Parallel Processing by : Jesus Carretero
Download or read book Euro-Par 2024: Parallel Processing written by Jesus Carretero and published by Springer. This book was released on 2024-09-25 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: The three-volume set LNCS 14801, 14802, and 14803 constitutes the proceedings of the 30th European Conference on Parallel and Distributed Processing, Euro-Par 2024, which took place in Madrid, Spain, during August 26–30, 2024. The 88 full papers included in the proceedings were carefully reviewed and selected from 293 submissions. They were organized in topical sections as follows: Part I: Programming, compilers, and performance; scheduling, resource management, cloud, edge computing, and workflows; Part II: Architectures and accelerators; data analytics, AI and computational science; Part III: Theory and algorithms; multidisciplinary, domain-specific and applied parallel and distributed computing.
Book Synopsis Euro-Par 2021: Parallel Processing by : Leonel Sousa
Download or read book Euro-Par 2021: Parallel Processing written by Leonel Sousa and published by Springer. This book was released on 2021-08-29 with total page 632 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the proceedings of the 27th International Conference on Parallel and Distributed Computing, Euro-Par 2021, held in Lisbon, Portugal, in August 2021. The conference was held virtually due to the COVID-19 pandemic. The 38 full papers presented in this volume were carefully reviewed and selected from 136 submissions. They deal with parallel and distributed computing in general, focusing on compilers, tools and environments; performance and power modeling, prediction and evaluation; scheduling and load balancing; data management, analytics and machine learning; cluster, cloud and edge computing; theory and algorithms for parallel and distributed processing; parallel and distributed programming, interfaces, and languages; parallel numerical methods and applications; and high performance architecture and accelerators.
Book Synopsis Programming Massively Parallel Processors by : David B. Kirk
Download or read book Programming Massively Parallel Processors written by David B. Kirk and published by Newnes. This book was released on 2012-12-31 with total page 519 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming Massively Parallel Processors: A Hands-on Approach, Second Edition, teaches students how to program massively parallel processors. It offers a detailed discussion of various techniques for constructing parallel programs. Case studies are used to demonstrate the development process, which begins with computational thinking and ends with effective and efficient parallel programs. This guide shows both student and professional alike the basic concepts of parallel programming and GPU architecture. Topics of performance, floating-point format, parallel patterns, and dynamic parallelism are covered in depth. This revised edition contains more parallel programming examples, commonly-used libraries such as Thrust, and explanations of the latest tools. It also provides new coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more; increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism; and two new case studies (on MRI reconstruction and molecular visualization) that explore the latest applications of CUDA and GPUs for scientific research and high-performance computing. This book should be a valuable resource for advanced students, software engineers, programmers, and hardware engineers. - New coverage of CUDA 5.0, improved performance, enhanced development tools, increased hardware support, and more - Increased coverage of related technology, OpenCL and new material on algorithm patterns, GPU clusters, host programming, and data parallelism - Two new case studies (on MRI reconstruction and molecular visualization) explore the latest applications of CUDA and GPUs for scientific research and high-performance computing
Book Synopsis Parallel Numerical Algorithms by : T. Len Freeman
Download or read book Parallel Numerical Algorithms written by T. Len Freeman and published by . This book was released on 1992 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Parallelism.
Book Synopsis Distributed Algorithms for Message-Passing Systems by : Michel Raynal
Download or read book Distributed Algorithms for Message-Passing Systems written by Michel Raynal and published by Springer Science & Business Media. This book was released on 2013-06-29 with total page 518 pages. Available in PDF, EPUB and Kindle. Book excerpt: Distributed computing is at the heart of many applications. It arises as soon as one has to solve a problem in terms of entities -- such as processes, peers, processors, nodes, or agents -- that individually have only a partial knowledge of the many input parameters associated with the problem. In particular each entity cooperating towards the common goal cannot have an instantaneous knowledge of the current state of the other entities. Whereas parallel computing is mainly concerned with 'efficiency', and real-time computing is mainly concerned with 'on-time computing', distributed computing is mainly concerned with 'mastering uncertainty' created by issues such as the multiplicity of control flows, asynchronous communication, unstable behaviors, mobility, and dynamicity. While some distributed algorithms consist of a few lines only, their behavior can be difficult to understand and their properties hard to state and prove. The aim of this book is to present in a comprehensive way the basic notions, concepts, and algorithms of distributed computing when the distributed entities cooperate by sending and receiving messages on top of an asynchronous network. The book is composed of seventeen chapters structured into six parts: distributed graph algorithms, in particular what makes them different from sequential or parallel algorithms; logical time and global states, the core of the book; mutual exclusion and resource allocation; high-level communication abstractions; distributed detection of properties; and distributed shared memory. The author establishes clear objectives per chapter and the content is supported throughout with illustrative examples, summaries, exercises, and annotated bibliographies. This book constitutes an introduction to distributed computing and is suitable for advanced undergraduate students or graduate students in computer science and computer engineering, graduate students in mathematics interested in distributed computing, and practitioners and engineers involved in the design and implementation of distributed applications. The reader should have a basic knowledge of algorithms and operating systems.
Book Synopsis Parallel Scientific Computing in C++ and MPI by : George Em Karniadakis
Download or read book Parallel Scientific Computing in C++ and MPI written by George Em Karniadakis and published by Cambridge University Press. This book was released on 2003-06-16 with total page 640 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis Euro-Par 2010 - Parallel Processing by : Pasqua D'Ambra
Download or read book Euro-Par 2010 - Parallel Processing written by Pasqua D'Ambra and published by Springer. This book was released on 2010-09-02 with total page 625 pages. Available in PDF, EPUB and Kindle. Book excerpt: Annotation This book constitutes the refereed proceedings of the 16th International Euro-Par Conference held in Ischia, Italy, in August/September 2010. The 90 revised full papers presented were carefully reviewed and selected from 256 submissions. The papers are organized in topical sections on support tools and environments; performance prediction and evaluation; scheduling and load-balancing; high performance architectures and compilers; parallel and distributed data management; grid, cluster and cloud computing; peer to peer computing; distributed systems and algorithms; parallel and distributed programming; parallel numerical algorithms; multicore and manycore programming; theory and algorithms for parallel computation; high performance networks; and mobile and ubiquitous computing.
Book Synopsis Introduction to Computer Theory by : Daniel I. A. Cohen
Download or read book Introduction to Computer Theory written by Daniel I. A. Cohen and published by John Wiley & Sons. This book was released on 1996-10-25 with total page 661 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text strikes a good balance between rigor and an intuitive approach to computer theory. Covers all the topics needed by computer scientists with a sometimes humorous approach that reviewers found "refreshing". It is easy to read and the coverage of mathematics is fairly simple so readers do not have to worry about proving theorems.
Book Synopsis GPU Programming in MATLAB by : Nikolaos Ploskas
Download or read book GPU Programming in MATLAB written by Nikolaos Ploskas and published by Morgan Kaufmann. This book was released on 2016-08-25 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: GPU programming in MATLAB is intended for scientists, engineers, or students who develop or maintain applications in MATLAB and would like to accelerate their codes using GPU programming without losing the many benefits of MATLAB. The book starts with coverage of the Parallel Computing Toolbox and other MATLAB toolboxes for GPU computing, which allow applications to be ported straightforwardly onto GPUs without extensive knowledge of GPU programming. The next part covers built-in, GPU-enabled features of MATLAB, including options to leverage GPUs across multicore or different computer systems. Finally, advanced material includes CUDA code in MATLAB and optimizing existing GPU applications. Throughout the book, examples and source codes illustrate every concept so that readers can immediately apply them to their own development. - Provides in-depth, comprehensive coverage of GPUs with MATLAB, including the parallel computing toolbox and built-in features for other MATLAB toolboxes - Explains how to accelerate computationally heavy applications in MATLAB without the need to re-write them in another language - Presents case studies illustrating key concepts across multiple fields - Includes source code, sample datasets, and lecture slides
Book Synopsis Parallel Programming in OpenMP by : Rohit Chandra
Download or read book Parallel Programming in OpenMP written by Rohit Chandra and published by Morgan Kaufmann. This book was released on 2001 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Software -- Programming Techniques.
Book Synopsis Languages and Compilers for Parallel Computing by : Keith Cooper
Download or read book Languages and Compilers for Parallel Computing written by Keith Cooper and published by Springer Science & Business Media. This book was released on 2011-03-07 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 23rd International Workshop on Languages and Compilers for Parallel Computing, LCPC 2010, held in Houston, TX, USA, in October 2010. The 18 revised full papers presented were carefully reviewed and selected from 47 submissions. The scope of the workshop spans foundational results and practical experience, and targets all classes of parallel platforms in- cluding concurrent, multithreaded, multicore, accelerated, multiprocessor, and cluster systems.