Download or read book Parallel Programming with Co arrays written by Robert W. Numrich and published by CRC Press. This book was released on 2018-09-06 with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel Programming with Co-Arrays describes the basic techniques used to design parallel algorithms for high-performance, scientific computing. It is intended for upper-level undergraduate students and graduate students who need to develop parallel codes with little or no previous introduction to parallel computing. It is also intended as a reference manual for researchers active in the field of scientific computing. All the algorithms in the book are based on partition operators. These operators provide a unifying principle that fits seemingly disparate techniques into an overall framework for algorithm design. The book uses the co-array programming model to illustrate how to write code for concrete examples, but it emphasizes that the important concepts for algorithm design are independent of the programming model. With these concepts in mind, the reader can write algorithms in different programming models based on personal taste and comfort.
Download or read book CoArrays written by Robert W. Numrich and published by . This book was released on 2012 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Parallel Programming with Co arrays written by Robert W. Numrich and published by CRC Press. This book was released on 2018-09-06 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel algorithms mapped to the co-array programming model Collective operations Performance analysis: weak scaling versus strong scaling Object-oriented design using co-arrays Sparse matrices and iterative solvers Blocked matrices and dense linear algebra operations The finite element method and graph algorithms
Download or read book Principles of Parallel Programming written by Calvin Lin and published by Pearson Education India. This book was released on 2008 with total page 356 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Modern Fortran written by Milan Curcic and published by Simon and Schuster. This book was released on 2020-10-07 with total page 414 pages. Available in PDF, EPUB and Kindle. Book excerpt: Modern Fortran teaches you to develop fast, efficient parallel applications using twenty-first-century Fortran. In this guide, you’ll dive into Fortran by creating fun apps, including a tsunami simulator and a stock price analyzer. Filled with real-world use cases, insightful illustrations, and hands-on exercises, Modern Fortran helps you see this classic language in a whole new light. Summary Using Fortran, early and accurate forecasts for hurricanes and other major storms have saved thousands of lives. Better designs for ships, planes, and automobiles have made travel safer, more efficient, and less expensive than ever before. Using Fortran, low-level machine learning and deep learning libraries provide incredibly easy, fast, and insightful analysis of massive data. Fortran is an amazingly powerful and flexible programming language that forms the foundation of high performance computing for research, science, and industry. And it's come a long, long way since starting life on IBM mainframes in 1956. Modern Fortran is natively parallel, so it's uniquely suited for efficiently handling problems like complex simulations, long-range predictions, and ultra-precise designs. If you're working on tasks where speed, accuracy, and efficiency matter, it's time to discover—or re-discover—Fortran.. About the technology For over 60 years Fortran has been powering mission-critical scientific applications, and it isn't slowing down yet! Rock-solid reliability and new support for parallel programming make Fortran an essential language for next-generation high-performance computing. Simply put, the future is in parallel, and Fortran is already there. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the book Modern Fortran teaches you to develop fast, efficient parallel applications using twenty-first-century Fortran. In this guide, you'll dive into Fortran by creating fun apps, including a tsunami simulator and a stock price analyzer. Filled with real-world use cases, insightful illustrations, and hands-on exercises, Modern Fortran helps you see this classic language in a whole new light. What's inside Fortran's place in the modern world Working with variables, arrays, and functions Module development Parallelism with coarrays, teams, and events Interoperating Fortran with C About the reader For developers and computational scientists. No experience with Fortran required. About the author Milan Curcic is a meteorologist, oceanographer, and author of several general-purpose Fortran libraries and applications. Table of Contents PART 1 - GETTING STARTED WITH MODERN FORTRAN 1 Introducing Fortran 2 Getting started: Minimal working app PART 2 - CORE ELEMENTS OF FORTRAN 3 Writing reusable code with functions and subroutines 4 Organizing your Fortran code using modules 5 Analyzing time series data with arrays 6 Reading, writing, and formatting your data PART 3 - ADVANCED FORTRAN USE 7 Going parallel with Fortan coarrays 8 Working with abstract data using derived types 9 Generic procedures and operators for any data type 10 User-defined operators for derived types PART 4 - THE FINAL STRETCH 11 Interoperability with C: Exposing your app to the web 12 Advanced parallelism with teams, events, and collectives
Download or read book Structured Parallel Programming written by Michael McCool and published by Elsevier. This book was released on 2012-06-25 with total page 434 pages. Available in PDF, EPUB and Kindle. Book excerpt: Programming is now parallel programming. Much as structured programming revolutionized traditional serial programming decades ago, a new kind of structured programming, based on patterns, is relevant to parallel programming today. Parallel computing experts and industry insiders Michael McCool, Arch Robison, and James Reinders describe how to design and implement maintainable and efficient parallel algorithms using a pattern-based approach. They present both theory and practice, and give detailed concrete examples using multiple programming models. Examples are primarily given using two of the most popular and cutting edge programming models for parallel programming: Threading Building Blocks, and Cilk Plus. These architecture-independent models enable easy integration into existing applications, preserve investments in existing code, and speed the development of parallel applications. Examples from realistic contexts illustrate patterns and themes in parallel algorithm design that are widely applicable regardless of implementation technology. The patterns-based approach offers structure and insight that developers can apply to a variety of parallel programming models Develops a composable, structured, scalable, and machine-independent approach to parallel computing Includes detailed examples in both Cilk Plus and the latest Threading Building Blocks, which support a wide variety of computers
Download or read book Parallel Programming written by Ronald H. Perrott and published by Addison Wesley Publishing Company. This book was released on 1987 with total page 280 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mathematics of Computing -- Parallelism.
Download or read book Sourcebook of Parallel Computing written by J. J. Dongarra and published by Morgan Kaufmann Pub. This book was released on 2003 with total page 842 pages. Available in PDF, EPUB and Kindle. Book excerpt: Parallel Computing is a compelling vision of how computation can seamlessly scale from a single processor to virtually limitless computing power. Unfortunately, the scaling of application performance has not matched peak speed, and the programming burden for these machines remains heavy. This book represents the collected knowledge and experience of over 30 leading parallel computing researchers. They offer readers a complete sourcebook with solid coverage of parallel comuting hardware, programming considerations, algorithms, software and enabling technologies, as well as several parallel application case studies. (Midwest).
Download or read book Parallel Processing and Applied Mathematics written by Roman Wyrzykowski and published by Springer Science & Business Media. This book was released on 2006-05-17 with total page 1147 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume comprises the proceedings of the 6th International Conference on Parallel Processing and Applied Mathematics - PPAM 2005, which was held in Poznan, the industrial, academic and cultural center in the western part of Poland, during September 11–14, 2005.
Download or read book Parallel MATLAB for Multicore and Multinode Computers written by Jeremy Kepner and published by SIAM. This book was released on 2009-07-23 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first book on parallel MATLAB and the first parallel computing book focused on quickly producing efficient parallel programs.
Download or read book A Systolic Array Parallelizing Compiler written by Ping-Sheng Tseng and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt: Widespread use of parallel processing will become a reality only if the process of porting applications to parallel computers can be largely automated. Usually it is straightforward for a user to determine how an application can be mapped onto a parallel machine; however, the actual development of parallel code, if done by hand, is typically difficult and time consuming. Parallelizing compilers, which can gen erate parallel code automatically, are therefore a key technology for parallel processing. In this book, Ping-Sheng Tseng describes a parallelizing compiler for systolic arrays, called AL. Although parallelizing compilers are quite common for shared-memory parallel machines, the AL compiler is one of the first working parallelizing compilers for distributed memory machines, of which systolic arrays are a special case. The AL compiler takes advantage of the fine grain and high bandwidth interprocessor communication capabilities in a systolic architecture to generate efficient parallel code. xii Foreword While capable of handling an important class of applications, AL is not intended to be a general-purpose parallelizing compiler.
Download or read book Languages and Compilers for Parallel Computing written by Lawrence Rauchwerger and published by Springer. This book was released on 2004-05-13 with total page 570 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 An Introduction to Parallel Programming written by Peter Pacheco and published by Elsevier. This book was released on 2011-02-17 with total page 393 pages. Available in PDF, EPUB and Kindle. Book excerpt: An Introduction to Parallel Programming is the first undergraduate text to directly address compiling and running parallel programs on the new multi-core and cluster architecture. It explains how to design, debug, and evaluate the performance of distributed and shared-memory programs. The author Peter Pacheco uses a tutorial approach to show students how to develop effective parallel programs with MPI, Pthreads, and OpenMP, starting with small programming examples and building progressively to more challenging ones. The text is written for students in undergraduate parallel programming or parallel computing courses designed for the computer science major or as a service course to other departments; professionals with no background in parallel computing. Takes a tutorial approach, starting with small programming examples and building progressively to more challenging examples Focuses on designing, debugging and evaluating the performance of distributed and shared-memory programs Explains how to develop parallel programs using MPI, Pthreads, and OpenMP programming models
Download or read book Automatic Parallelization written by Samuel P. Midkiff and published by Morgan & Claypool Publishers. This book was released on 2012 with total page 172 pages. Available in PDF, EPUB and Kindle. Book excerpt: Compiling for parallelism is a longstanding topic of compiler research. This book describes the fundamental principles of compiling regular numerical programs for parallelism. We begin with an explanation of analyses that allow a compiler to understand the interaction of data reads and writes in different statements and loop iterations during program execution. These analyses include dependence analysis, use-def analysis and pointer analysis. Next, we describe how the results of these analyses are used to enable transformations that make loops more amenable to parallelization, and discuss transformations that expose parallelism to target shared memory multicore and vector processors. We then discuss some problems that arise when parallelizing programs for execution on distributed memory machines. Finally, we conclude with an overview of solving Diophantine equations and suggestions for further readings in the topics of this book to enable the interested reader to delve deeper into the field. Table of Contents: Introduction and overview / Dependence analysis, dependence graphs and alias analysis / Program parallelization / Transformations to modify and eliminate dependences / Transformation of iterative and recursive constructs / Compiling for distributed memory machines / Solving Diophantine equations / A guide to further reading
Download or read book Proceedings of the ACM SIGPLAN Symposium on Principles Practice of Parallel Programming written by and published by . This book was released on 2005 with total page 324 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Foundations of Parallel Programming written by D. B. Skillicorn and published by Cambridge University Press. This book was released on 1994-12 with total page 211 pages. Available in PDF, EPUB and Kindle. Book excerpt: This is the first comprehensive account of this new approach to the fundamentals of parallel programming.
Download or read book Numerical Solution of Partial Differential Equations on Parallel Computers written by Are Magnus Bruaset and published by Springer Science & Business Media. This book was released on 2006-03-05 with total page 491 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since the dawn of computing, the quest for a better understanding of Nature has been a driving force for technological development. Groundbreaking achievements by great scientists have paved the way from the abacus to the supercomputing power of today. When trying to replicate Nature in the computer’s silicon test tube, there is need for precise and computable process descriptions. The scienti?c ?elds of Ma- ematics and Physics provide a powerful vehicle for such descriptions in terms of Partial Differential Equations (PDEs). Formulated as such equations, physical laws can become subject to computational and analytical studies. In the computational setting, the equations can be discreti ed for ef?cient solution on a computer, leading to valuable tools for simulation of natural and man-made processes. Numerical so- tion of PDE-based mathematical models has been an important research topic over centuries, and will remain so for centuries to come. In the context of computer-based simulations, the quality of the computed results is directly connected to the model’s complexity and the number of data points used for the computations. Therefore, computational scientists tend to ?ll even the largest and most powerful computers they can get access to, either by increasing the si e of the data sets, or by introducing new model terms that make the simulations more realistic, or a combination of both. Today, many important simulation problems can not be solved by one single computer, but calls for parallel computing.
