Download or read book The Implementation of Adaptive Parallelism in Parallel Programming Models written by and published by . This book was released on 2000 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Languages and Compilers for Parallel Computing written by Mary Hall and published by Springer Nature. This book was released on 2019-11-12 with total page 193 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-conference proceedings of the 31st International Workshop on Languages and Compilers for Parallel Computing, LCPC 2018, held in Salt Lake City, UT, USA, in October 2018. The 14 revised full papers were carefully reviewed and selected from 26 submissions. Specific topics are compiling for parallelism and parallel compilers, static, dynamic, and adaptive optimization of parallel programs, parallel programming models and languages, formal analysis and verification of parallel programs, parallel runtime systems and libraries, performance analysis and debugging tools for concurrency and parallelism, parallel algorithms and concurrent data structures, parallel applications, synchronization and concurrency control, software engineering for parallel programs, fault tolerance for parallel systems, and parallel programming and compiling for heterogeneous systems.
Download or read book Parallel Processing and Applied Mathematics written by Roman Wyrzykowski and published by Springer Nature. This book was released on 2020-03-19 with total page 511 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 12043 and 12044 constitutes revised selected papers from the 13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019, held in Bialystok, Poland, in September 2019. The 91 regular papers presented in these volumes were selected from 161 submissions. For regular tracks of the conference, 41 papers were selected from 89 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; emerging HPC architectures; performance analysis and scheduling in HPC systems; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; parallel non-numerical algorithms; soft computing with applications; special session on GPU computing; special session on parallel matrix factorizations. Part II: workshop on language-based parallel programming models (WLPP 2019); workshop on models algorithms and methodologies for hybrid parallelism in new HPC systems; workshop on power and energy aspects of computations (PEAC 2019); special session on tools for energy efficient computing; workshop on scheduling for parallel computing (SPC 2019); workshop on applied high performance numerical algorithms for PDEs; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems. Chapters "Parallel adaptive cross approximation for the multi-trace formulation of scattering problems" and "A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes" of LNCS 12043 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Download or read book Formal and Adaptive Methods for Automation of Parallel Programs Construction Emerging Research and Opportunities written by Doroshenko, Anatoliy and published by IGI Global. This book was released on 2020-08-28 with total page 279 pages. Available in PDF, EPUB and Kindle. Book excerpt: Emerging scientific and industrial applications in today’s world require significant computing power. Modern software tools are available for such platforms but are relatively complex and require the use of innovative programming models. One promising area in modern software design is the development, analysis, and implementation of algorithms and adaptive methods. These advancements in programming are promising but lack relevant research and understanding. Formal and Adaptive Methods for Automation of Parallel Programs Construction: Emerging Research and Opportunities is an essential reference source that solves the problem of the development of efficient models, methods, and tools for parallel programming automation based on the algebra of algorithms, term rewriting, and auto-tuning paradigms. The results of this book will help to further develop and improve existing research on design, synthesis, and optimization of sequential and parallel algorithms and programs. Featuring research on topics such as auto-tuning methods, graphics processing, and algorithmic language, this book is ideally designed for mathematicians, software engineers, data scientists, researchers, academicians, and students seeking coverage on developing tools for automated design and parallel programs.
Download or read book Adaptive Efficient Parallel Execution of Parallel Programs written by and published by . This book was released on 2014 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Future multicore processors will be heterogeneous, be increasingly less reliable, and operate in dynamically changing operating conditions. Such environments will result in a constantly varying pool of hardware resources which can complicate the programmer's task of efficiently exposing an application's parallelism onto these resources. Coupled with this complexity is the diverse set of performance objectives, such as latency, throughout, energy, power and resources, that users may desire. This dissertation proposes to automate the process of exposing an application's parallelism, in order to alleviate programmers from the burden of this complexity. It develops Varuna, a system that dynamically, continuously, rapidly and transparently adapts an application's parallelism to best match the instantaneous capabilities and availability of the hardware resources and the characteristics of the application, while optimizing different performance objectives. To facilitate rapid parallelism adaptation, this dissertation develops a holistic and resource-agnostic scalability model based on Amdahl's law. Varuna first employs the model to rapidly estimates changes in efficiency during an application's parallel execution. It then uses formulae, derived from the model, to instantaneously determine the optimum degree of parallelism (DoP) to employ for different performance objectives and automatically guides the execution to the computed DoP. In order for Varuna to transparently guide the application's parallel execution to the computed DoP, this dissertation proposes to employ a novel primitive called a virtual task (vtask). Vtasks decouple application-level parallelism from hardware parallelism. They are progress-aware entities and give Varuna the flexibility needed to transparently control an application's parallel execution, without hampering its forward progress. Varuna is programming model independent. It retains the existing programming abstractions and can be applied to both task-based and multithreaded shared memory parallel applications. Further, it requires no changes to the application or the Operating System, and can tackle arbitrary parallel applications that use standard APIs. This dissertation demonstrates Varuna for three different shared memory parallel programming APIs: Pthreads, Intel Thread Building Blocks (TBB), and Prometheus. This dissertation evaluates Varuna in three different execution environments, isolated, multiprogrammed and asymmetric, using unaltered C/C++ Pthreads, TBB and Prometheus applications from various standard benchmark suites, on three different real hardware platforms with different microarchitectural resource capabilities. Regardless of the execution environment, Varuna always outperformed the state-of-the-art approaches for the performance objectives considered.
Download or read book Abstract Machine Models for Parallel and Distributed Computing written by M. Kara and published by IOS Press. This book was released on 1996 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract Machine Models have played a profound though frequently unacknowledged role in the development of modern computing systems. They provide a precise definition of vital concepts, allow system complexity to be managed by providing appropriate views of the activity under consideration, enable reasoning about the correctness and quantitative performance of proposed problem solutions, and encourage communication through a common medium of expression. Abstract Models in Parallel and Distributed computing have a particularly important role in the development of contemporary systems, encapsulating and controlling an inherently high degree of complexity. The Parallel and Distributed computing communities have traditionally considered themselves to be separate. However, there is a significant contemporary interest in both of these communities in a common hardware model; a set of workstation-class machines connected by a high-performance network. The traditional Parallel/Distributed distinction therefore appears under threat.
Download or read book Introduction to Parallel Computing written by Ananth Grama and published by Pearson Education. This book was released on 2003 with total page 664 pages. Available in PDF, EPUB and Kindle. Book excerpt: A complete source of information on almost all aspects of parallel computing from introduction, to architectures, to programming paradigms, to algorithms, to programming standards. It covers traditional Computer Science algorithms, scientific computing algorithms and data intensive algorithms.
Download or read book Parallel Processing and Applied Mathematics written by Roman Wyrzykowski and published by Springer Nature. This book was released on 2020-03-19 with total page 592 pages. Available in PDF, EPUB and Kindle. Book excerpt: The two-volume set LNCS 12043 and 12044 constitutes revised selected papers from the 13th International Conference on Parallel Processing and Applied Mathematics, PPAM 2019, held in Bialystok, Poland, in September 2019. The 91 regular papers presented in these volumes were selected from 161 submissions. For regular tracks of the conference, 41 papers were selected from 89 submissions. The papers were organized in topical sections named as follows: Part I: numerical algorithms and parallel scientific computing; emerging HPC architectures; performance analysis and scheduling in HPC systems; environments and frameworks for parallel/distributed/cloud computing; applications of parallel computing; parallel non-numerical algorithms; soft computing with applications; special session on GPU computing; special session on parallel matrix factorizations. Part II: workshop on language-based parallel programming models (WLPP 2019); workshop on models algorithms and methodologies for hybrid parallelism in new HPC systems; workshop on power and energy aspects of computations (PEAC 2019); special session on tools for energy efficient computing; workshop on scheduling for parallel computing (SPC 2019); workshop on applied high performance numerical algorithms for PDEs; minisymposium on HPC applications in physical sciences; minisymposium on high performance computing interval methods; workshop on complex collective systems. Chapters "Parallel Adaptive Cross Approximation for the Multi-trace Formulation of Scattering Problems" and "A High-Order Discontinuous Galerkin Solver with Dynamic Adaptive Mesh Refinement to Simulate Cloud Formation Processes" are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Download or read book Euro Par 2004 Parallel Processing written by Marco Danelutto and published by Springer Science & Business Media. This book was released on 2004-08-19 with total page 1114 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed proceedings of the 10th International Conference on Parallel Computing, Euro-Par 2004, held in Pisa, Italy in August/September 2004. The 122 revised papers presented together with 3 invited papers were carefully reviewed and selected from 352 submissions. The papers are organized in topical sections on support tools and environments, performance evaluation, scheduling and load balancing, compilers and high performance, parallel and distributed databases, grid and cluster computing, applications on high performance clusters, parallel computer architecture and ILP, distributed systems and algorithms, parallel programming, numerical algorithms, high performance multimedia, theory and algorithms for parallel computing, routing and communication in interconnection networks, mobile computing, integrated problem solving environments, high performance bioinformatics, and peer-to-peer and Web computing.
Download or read book Programming Models for Parallel Computing written by Pavan Balaji and published by MIT Press. This book was released on 2015-11-06 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: An overview of the most prominent contemporary parallel processing programming models, written in a unique tutorial style. With the coming of the parallel computing era, computer scientists have turned their attention to designing programming models that are suited for high-performance parallel computing and supercomputing systems. Programming parallel systems is complicated by the fact that multiple processing units are simultaneously computing and moving data. This book offers an overview of some of the most prominent parallel programming models used in high-performance computing and supercomputing systems today. The chapters describe the programming models in a unique tutorial style rather than using the formal approach taken in the research literature. The aim is to cover a wide range of parallel programming models, enabling the reader to understand what each has to offer. The book begins with a description of the Message Passing Interface (MPI), the most common parallel programming model for distributed memory computing. It goes on to cover one-sided communication models, ranging from low-level runtime libraries (GASNet, OpenSHMEM) to high-level programming models (UPC, GA, Chapel); task-oriented programming models (Charm++, ADLB, Scioto, Swift, CnC) that allow users to describe their computation and data units as tasks so that the runtime system can manage computation and data movement as necessary; and parallel programming models intended for on-node parallelism in the context of multicore architecture or attached accelerators (OpenMP, Cilk Plus, TBB, CUDA, OpenCL). The book will be a valuable resource for graduate students, researchers, and any scientist who works with data sets and large computations. Contributors Timothy Armstrong, Michael G. Burke, Ralph Butler, Bradford L. Chamberlain, Sunita Chandrasekaran, Barbara Chapman, Jeff Daily, James Dinan, Deepak Eachempati, Ian T. Foster, William D. Gropp, Paul Hargrove, Wen-mei Hwu, Nikhil Jain, Laxmikant Kale, David Kirk, Kath Knobe, Ariram Krishnamoorthy, Jeffery A. Kuehn, Alexey Kukanov, Charles E. Leiserson, Jonathan Lifflander, Ewing Lusk, Tim Mattson, Bruce Palmer, Steven C. Pieper, Stephen W. Poole, Arch D. Robison, Frank Schlimbach, Rajeev Thakur, Abhinav Vishnu, Justin M. Wozniak, Michael Wilde, Kathy Yelick, Yili Zheng
Download or read book Languages and Compilers for Parallel Computing written by Lawrence Rauchwerger and published by Springer Science & Business Media. This book was released on 2004-02-25 with total page 567 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-proceedings of the 16th International Workshop on Languages and Compilers for Parallel Computing, LCPC 2003, held in College Station, Texas, USA, in October 2003. The 35 revised full papers presented were selected from 48 submissions during two rounds of reviewing and improvement upon presentation at the workshop. The papers are organized in topical sections on adaptive optimization, data locality, parallel languages, high-level transformations, embedded systems, distributed systems software, low-level transformations, compiling for novel architectures, and optimization infrastructure.
Download or read book Parallel Computing written by Roman Trobec and published by Springer Science & Business Media. This book was released on 2009-06-18 with total page 531 pages. Available in PDF, EPUB and Kindle. Book excerpt: The use of parallel programming and architectures is essential for simulating and solving problems in modern computational practice. There has been rapid progress in microprocessor architecture, interconnection technology and software devel- ment, which are in?uencing directly the rapid growth of parallel and distributed computing. However, in order to make these bene?ts usable in practice, this dev- opment must be accompanied by progress in the design, analysis and application aspects of parallel algorithms. In particular, new approaches from parallel num- ics are important for solving complex computational problems on parallel and/or distributed systems. The contributions to this book are focused on topics most concerned in the trends of today’s parallel computing. These range from parallel algorithmics, progr- ming, tools, network computing to future parallel computing. Particular attention is paid to parallel numerics: linear algebra, differential equations, numerical integ- tion, number theory and their applications in computer simulations, which together form the kernel of the monograph. We expect that the book will be of interest to scientists working on parallel computing, doctoral students, teachers, engineers and mathematicians dealing with numerical applications and computer simulations of natural phenomena.
Download or read book Adaptive Parallelism for Computing on Heterogeneous Clusters written by Kam Hong Shum and published by . This book was released on 1996 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Abstract: "Until recent years most parallel machines have been made up of closely-coupled microprocessor-based computers. With the advent of high-performance workstations and high-speed networking, the aggregate computational power and memory capacity of workstation clusters have become attractive and indispensable resources for parallel computing. Techniques to harness the power of workstation cluster computing, however, require the development of practical methods for controlling heterogeneous resources dynamically. This dissertation proposes an integrated framework that comprises two related parts. The first part of the framework is a software structure that enables parallel applications to be adaptable to workload imbalances at runtime. To realize the adaptation, applications are partitioned into small components called tasks. The tasks are then grouped into grains; each grain is an object that facilitates execution of tasks on a workstation. An application can therefore optimize its performance by the reconfiguration of task-to-grain and grain-to- workstation mappings. Based on the software structure, the implementation and evaluation of workload distribution schemes for data-parallel and task- parallel applications are presented. The second part of the framework is a resource management system that allocates resources to parallel applications through competition. The applications respond to allocation decisions by dynamic reconfiguration. The objectives of the system are to maximize the speedup of the parallel applications and, at the same time, to allocate workstations fairly and efficiently to the applications. A prototype implementation which provides a testbed for studying the dynamics of competition is constructed. In addition, a new structure for organizing replicated parallel applications is developed and an architecture for a multi-user, multi-parallel program environment based on the proposed framework is suggested. The effectiveness of the concept and the framework is demonstrated by the results of experiments conducted on the testbed. The parallel applications involved in the experiments consist of block-matrix multiplication, cycle-searching of a non-linear iterated cryptographic function, and simulators of an ATM network."
Download or read book A Dynamically Adaptive Parallelization Model Based on Speculative Multithreading written by Iffat Hoque Kazi and published by . This book was released on 2000 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Advanced Parallel Processing Technologies written by Chenggang Wu and published by Springer. This book was released on 2013-11-26 with total page 419 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-proceedings of the 10th International Symposium on Advanced Parallel Processing Technologies, APPT 2013, held in Stockholm, Sweden, in August 2013. The 30 revised full papers presented were carefully reviewed and selected from 62 submissions. The papers cover a wide range of topics capturing some of the state of the art and practice in parallel architecture, parallel software, concurrent and distributed systems, and cloud computing, with a highlight on computing systems for big data applications.
Download or read book The Art of Parallel Programming written by Bruce P. Lester and published by . This book was released on 1993 with total page 410 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Parallelism.
Download or read book written by Foster and published by . This book was released on 2002 with total page 381 pages. Available in PDF, EPUB and Kindle. Book excerpt: 国外著名高等院校信息科学与技术优秀教材
