Scientific Programming Languages for Distributed Memory Multiprocessors PDF Download
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Author: Matthew Rosing
Publisher:
ISBN:
Category : Multiprocessors
Languages : en
Pages : 34
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Book Description
The most interesting aspect is the model of parallel computation and communication, where there is a considerable diversity of approaches. The paper proposes a new categorization for these approaches, and discusses the relative advantages of disadvantages of the different models."
Author: Matthew Rosing
Publisher:
ISBN:
Category : Multiprocessors
Languages : en
Pages : 34
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Book Description
The most interesting aspect is the model of parallel computation and communication, where there is a considerable diversity of approaches. The paper proposes a new categorization for these approaches, and discusses the relative advantages of disadvantages of the different models."
Author: J. Saltz
Publisher: Elsevier
ISBN: 1483295389
Category : Computers
Languages : en
Pages : 323
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Book Description
Papers presented within this volume cover a wide range of topics related to programming distributed memory machines. Distributed memory architectures, although having the potential to supply the very high levels of performance required to support future computing needs, present awkward programming problems. The major issue is to design methods which enable compilers to generate efficient distributed memory programs from relatively machine independent program specifications. This book is the compilation of papers describing a wide range of research efforts aimed at easing the task of programming distributed memory machines.
Author: Rice University. Dept. of Computer Science
Publisher:
ISBN:
Category : Electronic data processing
Languages : en
Pages : 18
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Book Description
Abstract: "We describe a new approach to programming distributed-memory computers. Rather than having each node in the system explicitly programmed, we derive an efficient message-passing program from a sequential shared-memory program associated with directions on how elements of shared arrays are distributed to processors. This article describes one possible input language for describing distributions and then details the compilation process and the optimizations necessary to generate an efficient program."
Author: University of Arizona. Dept. of Computer Science
Publisher:
ISBN:
Category : Concurrent programming
Languages : en
Pages : 12
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Book Description
Abstract: "This paper introduces the newest version of the SR concurrent programming language and illustrates how it provides support for different execution environments, ranging from shared-memory multiprocessors to distributed systems. SR uses a few well-integrated mechanisms for concurrency to provide flexible, yet efficient, support for parallel and distributed programming. This paper gives several realistic examples to illustrate these language mechanisms."
Author: A. Udaya Shankar
Publisher: Springer Science & Business Media
ISBN: 1461448816
Category : Computers
Languages : en
Pages : 389
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Book Description
Distributed Programming: Theory and Practice presents a practical and rigorous method to develop distributed programs that correctly implement their specifications. The method also covers how to write specifications and how to use them. Numerous examples such as bounded buffers, distributed locks, message-passing services, and distributed termination detection illustrate the method. Larger examples include data transfer protocols, distributed shared memory, and TCP network sockets. Distributed Programming: Theory and Practice bridges the gap between books that focus on specific concurrent programming languages and books that focus on distributed algorithms. Programs are written in a "real-life" programming notation, along the lines of Java and Python with explicit instantiation of threads and programs. Students and programmers will see these as programs and not "merely" algorithms in pseudo-code. The programs implement interesting algorithms and solve problems that are large enough to serve as projects in programming classes and software engineering classes. Exercises and examples are included at the end of each chapter with on-line access to the solutions. Distributed Programming: Theory and Practice is designed as an advanced-level text book for students in computer science and electrical engineering. Programmers, software engineers and researchers working in this field will also find this book useful.
Author: Gregory R. Andrews
Publisher: Pearson
ISBN:
Category : Computers
Languages : en
Pages : 696
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Book Description
Foundations of Multithreaded, Parallel, and Distributed Programming covers, and then applies, the core concepts and techniques needed for an introductory course in this subject. Its emphasis is on the practice and application of parallel systems, using real-world examples throughout. Greg Andrews teaches the fundamental concepts of multithreaded, parallel and distributed computing and relates them to the implementation and performance processes. He presents the appropriate breadth of topics and supports these discussions with an emphasis on performance. Features Emphasizes how to solve problems, with correctness the primary concern and performance an important, but secondary, concern Includes a number of case studies which cover such topics as pthreads, MPI, and OpenMP libraries, as well as programming languages like Java, Ada, high performance Fortran, Linda, Occam, and SR Provides examples using Java syntax and discusses how Java deals with monitors, sockets, and remote method invocation Covers current programming techniques such as semaphores, locks, barriers, monitors, message passing, and remote invocation Concrete examples are executed with complete programs, both shared and distributed Sample applications include scientific computing and distributed systems 0201357526B04062001
Author: Jui-Yuan Ku
Publisher:
ISBN:
Category : Prallel processing (Electronic computers)
Languages : en
Pages : 244
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Book Description
Parallel computing is becoming increasingly ubiquitous in recent years. The sizes of application problems continuously increase for solving real-world problems. Distributed-memory multiprocessors have been regarded as a viable architecture of scalable and economical design for building large scale parallel machines. While these parallel machines can provide computational capabilities, programming such large-scale machines is often very difficult due to many practical issues including parallelization, data distribution, workload distribution, and remote memory latency. This thesis proposes to solve the programmability and performance issues of distributed-memory machines using the Sisal functional language. The programs written in Sisal will be automatically parallelized, scheduled and run on distributed-memory multiprocessors with no programmer intervention. Specifically, the proposed approach consists of the following steps. Given a program written in Sisal, the front end Sisal compiler generates a directed acyclic graph(DAG) to expose parallelism in the program. The DAG is partitioned and scheduled based on loop parallelism. The scheduled DAG is then translated to C programs with machine specific parallel constructs. The parallel C programs are finally compiled by the target machine specific compilers to generate executables. A distributed-memory parallel machine, the 80-processor ETL EM-X, has been chosen to perform experiments. The entire procedure has been implemented on the EMX multiprocessor. Four problems are selected for experiments: bitonic sorting, search, dot-product and Fast Fourier Transform. Preliminary execution results indicate that automatic parallelization of the Sisal programs based on loop parallelism is effective. The speedup for these four problems is ranging from 17 to 60 on a 64-processor EM-X. Preliminary experimental results further indicate that programming distributed-memory multiprocessors using a functional language indeed frees the programmers from lowlevel programming details while allowing them to focus on algorithmic performance improvement.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 728
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Book Description
Author: Philip J. Hatcher
Publisher:
ISBN: 9780262288484
Category : C (Computer program language)
Languages : en
Pages : 231
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Book Description
Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be compiled and efficiently executed-on both shared-memory multiprocessors and distributed-memory multicomputers.MIMD computers are notoriously difficult to program. Data-Parallel Programming demonstrates that architecture-independent parallel programming is possible by describing in detail how programs written in a high-level SIMD programming language may be compiled and efficiently executed-on both shared-memory multiprocessors and distributed-memory multicomputers. The authors provide enough data so that the reader can decide the feasibility of architecture-independent programming in a data-parallel language. For each benchmark program they give the source code listing, absolute execution time on both a multiprocessor and a multicomputer, and a speedup relative to a sequential program. And they often present multiple solutions to the same problem, to better illustrate the strengths and weaknesses of these compilers. The language presented is Dataparallel C, a variant of the original C* language developed by Thinking Machines Corporation for its Connection Machine processor array. Separate chapters describe the compilation of Dataparallel C programs for execution on the Sequent multiprocessor and the Intel and nCUBE hypercubes, respectively. The authors document the performance of these compilers on a variety of benchmark programs and present several case studies.ContentsIntroduction Dataparallel C Programming Language Description Design of a Multicomputer Dataparallel C Compiler Design of a Multiprocessor Dataparallel C Compiler Writing Efficient Programs Benchmarking the Compilers Case Studies Conclusions
Author: University of Colorado. Dept. of Computer Science
Publisher:
ISBN:
Category : Dino (Computer program language)
Languages : en
Pages : 5
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Book Description
