Parallel Programming with MPI

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Author: Peter S. Pacheco

Publisher: Morgan Kaufmann

ISBN: 9781558603394

Category: Computers

Page: 418

View: 6458

Mathematics of Computing -- Parallelism.

MPI - Eine Einführung

Portable parallele Programmierung mit dem Message-Passing Interface

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Author: William Gropp,Ewing Lusk,Anthony Skjellum

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3486841009

Category: Computers

Page: 387

View: 9496

Message Passing Interface (MPI) ist ein Protokoll, das parallel Berechnungen auf verteilten, heterogenen, lose-gekoppelten Computersystemen ermöglicht. Das Buch beginnt mit einem kurzen Überblick über parallele Entwicklungsumgebungen und führt in die grundlegenden Konzepte ein. Anschließend wird gezeigt, wie anhand von graphischen Analysewerkzeugen die Leistungsfähigkeit eines Programms getestet werden kann. Die grundlegenden Fähigkeiten von MPI werden mittels des Poisson-Problems erörtert und gezeigt, wie MPI zur Umsetzung von virtuellen Topologien genutzt werden kann. Zur Illustration von anspruchsvolleren Funktionen des Message-Passing in MPI wird auf das N-Körper-Problem eingegangen. Nach einem Vergleich von MPI-Implementierungen mit anderen Systemen wird das Buch durch Sprachfestlegungen für C-, C++ und Fortran-Versionen aller MPI-Routinen abgerundet.

Using MPI

Portable Parallel Programming with the Message-passing Interface

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Author: William D.. Gropp,William Gropp,Ewing Lusk,Anthony Skjellum,Argonne Distinguished Fellow Emeritus Ewing Lusk

Publisher: MIT Press

ISBN: 9780262571326

Category: Computers

Page: 371

View: 2254

Using MPI is a completely up-to-date version of the authors' 1994 introduction to the core functions of MPI. It adds material on the new C++ and Fortran 90 bindings for MPI throughout the book.

Using MPI

Portable Parallel Programming with the Message-Passing Interface

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Author: William Gropp,Ewing Lusk,Anthony Skjellum

Publisher: MIT Press

ISBN: 0262527391

Category: Computers

Page: 336

View: 7703

This book offers a thoroughly updated guide to the MPI (Message-Passing Interface) standard library for writing programs for parallel computers. Since the publication of the previous edition of Using MPI, parallel computing has become mainstream. Today, applications run on computers with millions of processors; multiple processors sharing memory and multicore processors with multiple hardware threads per core are common. The MPI-3 Forum recently brought the MPI standard up to date with respect to developments in hardware capabilities, core language evolution, the needs of applications, and experience gained over the years by vendors, implementers, and users. This third edition of Using MPI reflects these changes in both text and example code. The book takes an informal, tutorial approach, introducing each concept through easy-to-understand examples, including actual code in C and Fortran. Topics include using MPI in simple programs, virtual topologies, MPI datatypes, parallel libraries, and a comparison of MPI with sockets. For the third edition, example code has been brought up to date; applications have been updated; and references reflect the recent attention MPI has received in the literature. A companion volume, Using Advanced MPI, covers more advanced topics, including hybrid programming and coping with large data.

An Introduction to Parallel Programming

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Author: Peter Pacheco

Publisher: Elsevier

ISBN: 9780080921440

Category: Computers

Page: 392

View: 1173

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

Parallel Programming in C with MPI and OpenMP

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Author: Michael Jay Quinn

Publisher: McGraw-Hill Education

ISBN: 9780071232654

Category: C (Computer program language)

Page: 529

View: 5999

The era of practical parallel programming has arrived, marked by the popularity of the MPI and OpenMP software standards and the emergence of commodity clusters as the hardware platform of choice for an increasing number of organizations. This exciting new book,Parallel Programming in C with MPI and OpenMPaddresses the needs of students and professionals who want to learn how to design, analyze, implement, and benchmark parallel programs in C using MPI and/or OpenMP. It introduces a rock-solid design methodology with coverage of the most important MPI functions and OpenMP directives. It also demonstrates, through a wide range of examples, how to develop parallel programs that will execute efficiently on today’s parallel platforms. If you are an instructor who has adopted the book and would like access to the additional resources, please contact your local sales rep. or Michelle Flomenhoft at: [email protected]

Parallel Programming

For Multicore and Cluster Systems

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Author: Thomas Rauber,Gudula Rünger

Publisher: Springer Science & Business Media

ISBN: 364204817X

Category: Computers

Page: 455

View: 4414

Innovations in hardware architecture, like hyper-threading or multicore processors, mean that parallel computing resources are available for inexpensive desktop computers. In only a few years, many standard software products will be based on concepts of parallel programming implemented on such hardware, and the range of applications will be much broader than that of scientific computing, up to now the main application area for parallel computing. Rauber and Rünger take up these recent developments in processor architecture by giving detailed descriptions of parallel programming techniques that are necessary for developing efficient programs for multicore processors as well as for parallel cluster systems and supercomputers. Their book is structured in three main parts, covering all areas of parallel computing: the architecture of parallel systems, parallel programming models and environments, and the implementation of efficient application algorithms. The emphasis lies on parallel programming techniques needed for different architectures. The main goal of the book is to present parallel programming techniques that can be used in many situations for many application areas and which enable the reader to develop correct and efficient parallel programs. Many examples and exercises are provided to show how to apply the techniques. The book can be used as both a textbook for students and a reference book for professionals. The presented material has been used for courses in parallel programming at different universities for many years.

Parallel Programming Using C++

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Author: Greg Wilson,Paul Lu,William Gropp,Ewing Lusk

Publisher: MIT Press

ISBN: 9780262731188

Category: Computers

Page: 758

View: 559

Foreword by Bjarne Stroustrup Software is generally acknowledged to be the single greatest obstacle preventing mainstream adoption of massively-parallel computing. While sequential applications are routinely ported to platforms ranging from PCs to mainframes, most parallel programs only ever run on one type of machine. One reason for this is that most parallel programming systems have failed to insulate their users from the architectures of the machines on which they have run. Those that have been platform-independent have usually also had poor performance. Many researchers now believe that object-oriented languages may offer a solution. By hiding the architecture-specific constructs required for high performance inside platform-independent abstractions, parallel object-oriented programming systems may be able to combine the speed of massively-parallel computing with the comfort of sequential programming. "Parallel Programming Using C++" describes fifteen parallel programming systems based on C++, the most popular object-oriented language of today. These systems cover the whole spectrum of parallel programming paradigms, from data parallelism through dataflow and distributed shared memory to message-passing control parallelism. For the parallel programming community, a common parallel application is discussed in each chapter, as part of the description of the system itself. By comparing the implementations of the polygon overlay problem in each system, the reader can get a better sense of their expressiveness and functionality for a common problem. For the systems community, the chapters contain a discussion of the implementation of thevarious compilers and runtime systems. In addition to discussing the performance of polygon overlay, several of the contributors also discuss the performance of other, more substantial, applications. For the research community, the contributors discuss the motivations for and philosophy of their systems. As well, many of the chapters include critiques that complete the research arc by pointing out possible future research directions. Finally, for the object-oriented community, there are many examples of how encapsulation, inheritance, and polymorphism can be used to control the complexity of developing, debugging, and tuning parallel software. "Scientific and Engineering Computation series"

OpenMP

Eine Einführung in die parallele Programmierung mit C/C++

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Author: Simon Hoffmann,Rainer Lienhart

Publisher: Springer-Verlag

ISBN: 3540731237

Category: Computers

Page: 162

View: 366

OpenMP ist ein weit verbreiteter de-facto-Standard für High-Level Shared-Memory-Programmierung, der für viele Plattformen zur Verfügung steht (u.a. Linux und Microsoft Windows). Das Programmiermodell von OpenMP ermöglicht einen einfachen und flexiblen Ansatz zur Entwicklung paralleler Applikationen unter FORTRAN, C und C++. Open MP wird von den meisten High-performance Compiler- und Hardwareherstellern unterstützt. Das Buch stellt Open MP ausführlich vor und zeigt die Implementierung paralleler C/C++ Algorithmen anhand zahlreicher Beispiele.

Recent Advances in the Message Passing Interface

19th European MPI Users' Group Meeting, EuroMPI 2012, Vienna, Austria, September 23-26, 2012. Proceedings

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Author: Jesper Larsson Träff,Siegfried Benkner,Jack Dongarra

Publisher: Springer

ISBN: 3642335187

Category: Computers

Page: 302

View: 8385

This book constitutes the refereed proceedings of the 19th European MPI Users' Group Meeting, EuroMPI 2012, Vienna, Austria, September 23-26, 2012. The 29 revised papers presented together with 4 invited talks and 7 poster papers were carefully reviewed and selected from 47 submissions. The papers are organized in topical sections on MPI implementation techniques and issues; benchmarking and performance analysis; programming models and new architectures; run-time support; fault-tolerance; message-passing algorithms; message-passing applications; IMUDI, improving MPI user and developer interaction.

Patterns for Parallel Programming

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Author: Timothy G. Mattson,Beverly Sanders,Berna Massingill

Publisher: Pearson Education

ISBN: 9780321630032

Category: Computers

Page: 384

View: 6801

The Parallel Programming Guide for Every Software Developer From grids and clusters to next-generation game consoles, parallel computing is going mainstream. Innovations such as Hyper-Threading Technology, HyperTransport Technology, and multicore microprocessors from IBM, Intel, and Sun are accelerating the movement's growth. Only one thing is missing: programmers with the skills to meet the soaring demand for parallel software. That's where Patterns for Parallel Programming comes in. It's the first parallel programming guide written specifically to serve working software developers, not just computer scientists. The authors introduce a complete, highly accessible pattern language that will help any experienced developer "think parallel"-and start writing effective parallel code almost immediately. Instead of formal theory, they deliver proven solutions to the challenges faced by parallel programmers, and pragmatic guidance for using today's parallel APIs in the real world. Coverage includes: Understanding the parallel computing landscape and the challenges faced by parallel developers Finding the concurrency in a software design problem and decomposing it into concurrent tasks Managing the use of data across tasks Creating an algorithm structure that effectively exploits the concurrency you've identified Connecting your algorithmic structures to the APIs needed to implement them Specific software constructs for implementing parallel programs Working with today's leading parallel programming environments: OpenMP, MPI, and Java Patterns have helped thousands of programmers master object-oriented development and other complex programming technologies. With this book, you will learn that they're the best way to master parallel programming too.

Shared Memory Parallel Programming with Open MP

5th International Workshop on Open MP Application and Tools, WOMPAT 2004, Houston, TX, USA, May 17-18, 2004

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Author: Barbara Chapman

Publisher: Springer Science & Business Media

ISBN: 9783540245605

Category: Computers

Page: 147

View: 1637

This book constitutes the thoroughly refereed postproceedings of the 5th International Workshop on Open MP Application and Tools, WOMPAT 2004, held in Houston, TX, USA in May 2004. The 12 revised full papers presented were carefully selected during two rounds of reviewing and improvement. The papers are devoted to using Open MP for large scale applications on several computing platforms, consideration of Open MP parallelization strategies, discussion and evaluation of several proposed language features, and compiler and tools technology.

Introduction to High Performance Computing for Scientists and Engineers

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Author: Georg Hager,Gerhard Wellein

Publisher: CRC Press

ISBN: 9781439811931

Category: Computers

Page: 356

View: 410

Written by high performance computing (HPC) experts, Introduction to High Performance Computing for Scientists and Engineers provides a solid introduction to current mainstream computer architecture, dominant parallel programming models, and useful optimization strategies for scientific HPC. From working in a scientific computing center, the authors gained a unique perspective on the requirements and attitudes of users as well as manufacturers of parallel computers. The text first introduces the architecture of modern cache-based microprocessors and discusses their inherent performance limitations, before describing general optimization strategies for serial code on cache-based architectures. It next covers shared- and distributed-memory parallel computer architectures and the most relevant network topologies. After discussing parallel computing on a theoretical level, the authors show how to avoid or ameliorate typical performance problems connected with OpenMP. They then present cache-coherent nonuniform memory access (ccNUMA) optimization techniques, examine distributed-memory parallel programming with message passing interface (MPI), and explain how to write efficient MPI code. The final chapter focuses on hybrid programming with MPI and OpenMP. Users of high performance computers often have no idea what factors limit time to solution and whether it makes sense to think about optimization at all. This book facilitates an intuitive understanding of performance limitations without relying on heavy computer science knowledge. It also prepares readers for studying more advanced literature. Read about the authors’ recent honor: Informatics Europe Curriculum Best Practices Award for Parallelism and Concurrency

Computational Technologies

Advanced Topics

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Author: Petr N. Vabishchevich

Publisher: Walter de Gruyter GmbH & Co KG

ISBN: 3110359960

Category: Computers

Page: 278

View: 1954

This book discusses questions of numerical solutions of applied problems on parallel computing systems. Nowadays, engineering and scientific computations are carried out on parallel computing systems, which provide parallel data processing on a few computing nodes. In the development of up-to-date applied software, this feature of computers must be taken into account for the maximum efficient usage of their resources. In constructing computational algorithms, we should separate relatively independent subproblems in order to solve them on a single computing node.

Mastering Parallel Programming with R

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Author: Simon R. Chapple,Eilidh Troup,Thorsten Forster,Terence Sloan

Publisher: Packt Publishing Ltd

ISBN: 1784394629

Category: Computers

Page: 244

View: 9425

Master the robust features of R parallel programming to accelerate your data science computations About This Book Create R programs that exploit the computational capability of your cloud platforms and computers to the fullest Become an expert in writing the most efficient and highest performance parallel algorithms in R Get to grips with the concept of parallelism to accelerate your existing R programs Who This Book Is For This book is for R programmers who want to step beyond its inherent single-threaded and restricted memory limitations and learn how to implement highly accelerated and scalable algorithms that are a necessity for the performant processing of Big Data. No previous knowledge of parallelism is required. This book also provides for the more advanced technical programmer seeking to go beyond high level parallel frameworks. What You Will Learn Create and structure efficient load-balanced parallel computation in R, using R's built-in parallel package Deploy and utilize cloud-based parallel infrastructure from R, including launching a distributed computation on Hadoop running on Amazon Web Services (AWS) Get accustomed to parallel efficiency, and apply simple techniques to benchmark, measure speed and target improvement in your own code Develop complex parallel processing algorithms with the standard Message Passing Interface (MPI) using RMPI, pbdMPI, and SPRINT packages Build and extend a parallel R package (SPRINT) with your own MPI-based routines Implement accelerated numerical functions in R utilizing the vector processing capability of your Graphics Processing Unit (GPU) with OpenCL Understand parallel programming pitfalls, such as deadlock and numerical instability, and the approaches to handle and avoid them Build a task farm master-worker, spatial grid, and hybrid parallel R programs In Detail R is one of the most popular programming languages used in data science. Applying R to big data and complex analytic tasks requires the harnessing of scalable compute resources. Mastering Parallel Programming with R presents a comprehensive and practical treatise on how to build highly scalable and efficient algorithms in R. It will teach you a variety of parallelization techniques, from simple use of R's built-in parallel package versions of lapply(), to high-level AWS cloud-based Hadoop and Apache Spark frameworks. It will also teach you low level scalable parallel programming using RMPI and pbdMPI for message passing, applicable to clusters and supercomputers, and how to exploit thousand-fold simple processor GPUs through ROpenCL. By the end of the book, you will understand the factors that influence parallel efficiency, including assessing code performance and implementing load balancing; pitfalls to avoid, including deadlock and numerical instability issues; how to structure your code and data for the most appropriate type of parallelism for your problem domain; and how to extract the maximum performance from your R code running on a variety of computer systems. Style and approach This book leads you chapter by chapter from the easy to more complex forms of parallelism. The author's insights are presented through clear practical examples applied to a range of different problems, with comprehensive reference information for each of the R packages employed. The book can be read from start to finish, or by dipping in chapter by chapter, as each chapter describes a specific parallel approach and technology, so can be read as a standalone.

Recent Advances in Parallel Virtual Machine and Message Passing Interface

15th European PVM/MPI Users' Group Meeting, Dublin, Ireland, September 7-10, 2008, Proceedings

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Author: Alexey Lastovetsky

Publisher: Springer Science & Business Media

ISBN: 3540874747

Category: Computers

Page: 342

View: 2845

This book constitutes the refereed proceedings of the 15th European PVM/MPI Users' Group Meeting held in Dublin, Ireland, in September 2008. The 29 revised full papers presented together with abstracts of 7 invited contributions, 1 tutorial paper and 8 poster papers were carefully reviewed and selected from 55 submissions. The papers are organized in topical sections on applications, collective operations, library internals, message passing for multi-core and mutlithreaded architectures, MPI datatypes, MPI I/O, synchronisation issues in point-to-point and one-sided communications, tools, and verification of message passing programs. The volume is rounded off with 4 contributions to the special ParSim session on current trends in numerical simulation for parallel engineering environments.

Introduction to HPC with MPI for Data Science

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Author: Frank Nielsen

Publisher: Springer

ISBN: 3319219030

Category: Computers

Page: 282

View: 7424

This gentle introduction to High Performance Computing (HPC) for Data Science using the Message Passing Interface (MPI) standard has been designed as a first course for undergraduates on parallel programming on distributed memory models, and requires only basic programming notions. Divided into two parts the first part covers high performance computing using C++ with the Message Passing Interface (MPI) standard followed by a second part providing high-performance data analytics on computer clusters. In the first part, the fundamental notions of blocking versus non-blocking point-to-point communications, global communications (like broadcast or scatter) and collaborative computations (reduce), with Amdalh and Gustafson speed-up laws are described before addressing parallel sorting and parallel linear algebra on computer clusters. The common ring, torus and hypercube topologies of clusters are then explained and global communication procedures on these topologies are studied. This first part closes with the MapReduce (MR) model of computation well-suited to processing big data using the MPI framework. In the second part, the book focuses on high-performance data analytics. Flat and hierarchical clustering algorithms are introduced for data exploration along with how to program these algorithms on computer clusters, followed by machine learning classification, and an introduction to graph analytics. This part closes with a concise introduction to data core-sets that let big data problems be amenable to tiny data problems. Exercises are included at the end of each chapter in order for students to practice the concepts learned, and a final section contains an overall exam which allows them to evaluate how well they have assimilated the material covered in the book.

High Performance Computing for Computational Science -- VECPAR 2010

9th International Conference, Berkeley, CA, USA, June 22-25, 2010, Revised, Selected Papers

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Author: José M. Laginha M. Palma,Michel Daydé,Osni Marques,Joao Correia Lopes

Publisher: Springer

ISBN: 3642193285

Category: Computers

Page: 470

View: 5666

This book constitutes the thoroughly refereed post-conference proceedings of the 9th International Conference on High Performance Computing for Computational Science, VECPAR 2010, held in Berkeley, CA, USA, in June 2010. The 34 revised full papers presented together with five invited contributions were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on linear algebra and solvers on emerging architectures, large-scale simulations, parallel and distributed computing, numerical algorithms.

Tools for High Performance Computing 2011

Proceedings of the 5th International Workshop on Parallel Tools for High Performance Computing, September 2011, ZIH, Dresden

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Author: Holger Brunst,Matthias S. Müller,Wolfgang E. Nagel,Michael M. Resch

Publisher: Springer Science & Business Media

ISBN: 3642314767

Category: Computers

Page: 156

View: 5039

The proceedings of the 5th International Workshop on Parallel Tools for High Performance Computing provide an overview on supportive software tools and environments in the fields of System Management, Parallel Debugging and Performance Analysis. In the pursuit to maintain exponential growth for the performance of high performance computers the HPC community is currently targeting Exascale Systems. The initial planning for Exascale already started when the first Petaflop system was delivered. Many challenges need to be addressed to reach the necessary performance. Scalability, energy efficiency and fault-tolerance need to be increased by orders of magnitude. The goal can only be achieved when advanced hardware is combined with a suitable software stack. In fact, the importance of software is rapidly growing. As a result, many international projects focus on the necessary software.