Parallel Programming with MPI
Author: Peter Pacheco
Publisher: Morgan Kaufmann
Published: 1997
Total Pages: 456
ISBN-13: 9781558603394
DOWNLOAD EBOOKMathematics of Computing -- Parallelism.
Posts
MPI
Author: William Gropp
Publisher: MIT Press
Published: 1998
Total Pages: 372
ISBN-13: 9780262571234
DOWNLOAD EBOOKUsing Advanced MPI
Author: William Gropp
Publisher: MIT Press
Published: 2014-11-07
Total Pages: 391
ISBN-13: 0262527634
DOWNLOAD EBOOKA guide to advanced features of MPI, reflecting the latest version of the MPI standard, that takes an example-driven, tutorial approach. This book offers a practical guide to the advanced features of the MPI (Message-Passing Interface) standard library for writing programs for parallel computers. It covers new features added in MPI-3, the latest version of the MPI standard, and updates from MPI-2. Like its companion volume, Using MPI, the book takes an informal, example-driven, tutorial approach. The material in each chapter is organized according to the complexity of the programs used as examples, starting with the simplest example and moving to more complex ones. Using Advanced MPI covers major changes in MPI-3, including changes to remote memory access and one-sided communication that simplify semantics and enable better performance on modern hardware; new features such as nonblocking and neighborhood collectives for greater scalability on large systems; and minor updates to parallel I/O and dynamic processes. It also covers support for hybrid shared-memory/message-passing programming; MPI_Message, which aids in certain types of multithreaded programming; features that handle very large data; an interface that allows the programmer and the developer to access performance data; and a new binding of MPI to Fortran.
Parallel Scientific Computing in C++ and MPI
Author: George Em Karniadakis
Publisher: Cambridge University Press
Published: 2003-06-16
Total Pages: 640
ISBN-13: 110749477X
DOWNLOAD EBOOKNumerical 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.
Using MPI
Author: William Gropp
Publisher: MIT Press
Published: 1999
Total Pages: 410
ISBN-13: 9780262571326
DOWNLOAD EBOOKThe authors introduce the core function of the Message Printing Interface (MPI). This edition adds material on the C++ and Fortran 90 binding for MPI.
Parallel Programming in C with MPI and OpenMP
Author: Michael Jay Quinn
Publisher: McGraw-Hill Education
Published: 2004
Total Pages: 529
ISBN-13: 9780071232654
DOWNLOAD EBOOKThe 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 Scientific Computing in C++ and MPI
Author: George Karniadakis
Publisher: Cambridge University Press
Published: 2003-06-16
Total Pages: 640
ISBN-13: 9780521520805
DOWNLOAD EBOOKAccompanying CD-ROM has a software suite containing all the functions and programs discussed.
MPI--the Complete Reference: The MPI core
Author: Marc Snir
Publisher: MIT Press
Published: 1998
Total Pages: 452
ISBN-13: 9780262692151
DOWNLOAD EBOOKPoint-to-Point Communication. User-Defined Datatypes and Packing. Collective Communications. Communicators. Process Topologies. Environmental Management. The MPI Profiling Interface.
Introduction to HPC with MPI for Data Science
Author: Frank Nielsen
Publisher: Springer
Published: 2016-02-03
Total Pages: 304
ISBN-13: 3319219030
DOWNLOAD EBOOKThis 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 Linux Clusters with OSCAR, Rocks, OpenMosix, and MPI
Author: Joseph D Sloan
Publisher: "O'Reilly Media, Inc."
Published: 2004-11-16
Total Pages: 372
ISBN-13: 0596552459
DOWNLOAD EBOOKTo the outside world, a "supercomputer" appears to be a single system. In fact, it's a cluster of computers that share a local area network and have the ability to work together on a single problem as a team. Many businesses used to consider supercomputing beyond the reach of their budgets, but new Linux applications have made high-performance clusters more affordable than ever. These days, the promise of low-cost supercomputing is one of the main reasons many businesses choose Linux over other operating systems.This new guide covers everything a newcomer to clustering will need to plan, build, and deploy a high-performance Linux cluster. The book focuses on clustering for high-performance computation, although much of its information also applies to clustering for high-availability (failover and disaster recovery). The book discusses the key tools you'll need to get started, including good practices to use while exploring the tools and growing a system. You'll learn about planning, hardware choices, bulk installation of Linux on multiple systems, and other basic considerations. Then, you'll learn about software options that can save you hours--or even weeks--of deployment time.Since a wide variety of options exist in each area of clustering software, the author discusses the pros and cons of the major free software projects and chooses those that are most likely to be helpful to new cluster administrators and programmers. A few of the projects introduced in the book include: MPI, the most popular programming library for clusters. This book offers simple but realistic introductory examples along with some pointers for advanced use. OSCAR and Rocks, two comprehensive installation and administrative systems openMosix (a convenient tool for distributing jobs), Linux kernel extensions that migrate processes transparently for load balancing PVFS, one of the parallel filesystems that make clustering I/O easier C3, a set of commands for administering multiple systems Ganglia, OpenPBS, and cloning tools (Kickstart, SIS and G4U) are also covered. The book looks at cluster installation packages (OSCAR & Rocks) and then considers the core packages individually for greater depth or for folks wishing to do a custom installation. Guidelines for debugging, profiling, performance tuning, and managing jobs from multiple users round out this immensely useful book.
