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检索条件"任意字段=1993 Workshop on Programming Models for Massively Parallel Computers, PMMP 1993"

共 49 条记录，以下是41-50 订阅

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Virtual shared memory-based support for novel (parallel) programming paradigms

Virtual shared memory-based support for novel (parallel) pro...

引用

programming models for massively parallel computers

作者： J.A. Keane M.Q. Xu Centre for Novel Comput. Manchester Univ. UK Centre for Novel Computing Department of Computer Science University of Manchester Institute of Science and Technology UK Matlis & Computer Science Division Argonne National Laboratory IL USA

Discusses the implementation of novel programming paradigms on virtual shared memory (VSM) parallel architectures. A wide spectrum of paradigms (data-parallel, functional and logic languages) have been investigated in order to achieve, within the context of VSM parallel architectures, a better understanding of the underlying support mechanisms for the paradigms and to identify commonality amongst the different mechanisms. An overview of VSM is given in the context of a commercially available VSM machine: a KSR-1. The correspondence between the features of the high level languages and the VSM features which assist efficient implementation are presented. Case studies are discussed as concrete examples of the issues involved.< >

关键词： parallel programming Logic programming parallel languages Concurrent computing Computer science Concrete Mathematical programming Application software Data processing Intrusion detection

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MANIFOLD: a programming model for massive parallelism

MANIFOLD: a programming model for massive parallelism

引用

programming models for massively parallel computers

作者： F. Arbab E. Rutten CWI Amsterdam Netherlands IRISA INRIA-Rennes Rennes France

MANIFOLD is a coordination language for orchestration of the communications among independent, cooperating processes in a massively parallel or distributed application. The fundamental principle underlying MANIFOLD is the complete separation of computation from communication. This means that in MANIFOLD: computation processes know nothing about their own communication with other processes; and coordinator processes manage the communications among a set of processes, but know nothing about the computation they carry out. This principle leads to more flexible software made out of more re-usable components, and supports open systems. MANIFOLD is a new programming language based on a number of novel concepts. MANIFOLD is about concurrency of cooperation as opposed to the concern of the classical work on concurrency, that deals with concurrency of competition. In order to better understand the fundamentals of this language and its underlying model, we focus on the kernel of a simple sub-language of MANIFOLD, called MINIFOLD.< >

关键词： parallel programming Concurrent computing parallel processing Problem-solving Open systems Computer languages Kernel Communication system control Investments Software algorithms

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The Modula-2* environment for parallel programming

The Modula-2* environment for parallel programming

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programming models for massively parallel computers

作者： S.U. Hanssgen E.A. Heinz P. Lukowicz M. Philippsen W.F. Tichy Fakultät für Informatik Universität Karlsruhe Karlsruhe Germany

Presents a portable parallel programming environment for Modula-2*, an explicitly parallel machine-independent extension of Modula-2. Modula-2* offers synchronous and asynchronous parallelism, a global single address space, and automatic data and process distribution. The Modula-2* system consists of a compiler, a debugger, a cross-architecture make, graphical X Windows control panel, run-time systems for different machines, and sets of scalable parallel libraries. The existing implementation targets the MasPar MP series of massively parallel processors (SIMD), the KSR-1 parallel computer (MIMD), heterogeneous LANs of workstations (MIMD), and single workstations (SISD). We describe the important components of the Modula-2* environment, and discuss selected implementation issues. We focus on how we achieve a high degree of portability for our system, while at the same time ensuring efficiency.< >

关键词： parallel programming Concurrent computing Computer languages Automatic control Control systems Runtime library Workstations Costs Processor scheduling Topology

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Modeling parallel computers as memory hierarchies

Modeling parallel computers as memory hierarchies

引用

programming models for massively parallel computers

作者： B. Alpern L. Carter J. Ferrante IBM Thomas J. Watson Research Center Yorktown Heights NY USA

A parameterized generic model that captures the features of diverse computer architectures would facilitate the development of portable programs. Specific models appropriate to particular computers are obtained by specifying parameters of the generic model. A generic model should be simple, and for each machine that it is intended to represent, it should have a reasonably accurate specific model. The parallel Memory Hierarchy (PMH) model of computation uses a single mechanism to model the costs of both interprocessor communication and memory hierarchy traffic. A computer is modeled as a tree of memory modules with processors at the leaves. All data movement takes the form of block transfers between children and their parents. The paper assesses the strengths and weaknesses of the PMH model as a generic model.< >

关键词： Concurrent computing Computer architecture Topology Phase change random access memory Computational modeling Costs parallel machines Supercomputers Message passing Software libraries

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Beyond the data parallel paradigm: issues and options

Beyond the data parallel paradigm: issues and options

引用

programming models for massively parallel computers

作者： G.R. Gao V. Sarkar L.A. Vazquez School of Computer Science McGill University Montreal Canada IBM Santa Teresa Laboratory San Jose CA USA CRAAG IBM Argentina Ing. Buenos Aires Argentina

Currently, the predominant approach in compiling a program for parallel execution on a distributed memory multiprocessor is driven by the data parallel paradigm, in which user-specified data mappings are used to derive computation mappings via ad hoc rules such as owner-computes. We explore a more general approach which is driven by the selection of computation mappings from the program dependence constraints, and by the selection of dynamic data mappings from the localization constraints in different computation phases of the program. We state the optimization problems addressed by this approach and outline the solution methods that can be used. We believe that this approach provides promising solutions beyond what can be achieved by the data parallel paradigm. The paper outlines the general program model assumed for this work, states the optimization problems addressed by the approach and presents solutions to these problems.< >

关键词： Flow graphs Concurrent computing Distributed computing Optimization methods parallel languages Computer science Laboratories Tree graphs Data flow computing

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Distributed programming for neural networks

Distributed programming for neural networks

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IEEE workshop on Future Trends of Distributed Computing Systems

作者： N. Serbedzija G. Kock S. Jahnichen GMD First Berlin Germany

Presents a high-level approach for parallel and distributed programming of connectionist models. A generic description of an abstract connectionist model is given, providing means for necessary modifications and extensions. A concurrency model supports asynchronous communication among massively interconnected units, and distributed implementation provides a truly parallel and robust execution environment. This presentation covers the design rationales, programming model and implementation details, and is illustrated with concrete examples.< >

关键词： Neural networks Concrete Robustness parallel programming Feedforward neural networks Hopfield neural networks Concurrent computing Mirrors Tail Feedforward systems

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Functional programming for massively parallel computing

Functional programming for massively parallel computing

引用

1992 workshop on Future Directions of massively parallel Processing: The New Frontiers

作者： Dennis, Jack B. MIT Laboratory for Computer Science United States

ISBN: (纸本)0818644109

One important tool for building software is facilities for encapsulating abstractions. The currently popular programming paradigms for parallel computing do not provide such an encapsulation capability if parallelism is to be exploited within program modules. The function application operator of functional programming provides an interface for encapsulating abstractions that satisfiejthe requirements for modular software construction. We reviewe advantages of functional programming languages for programming parallel computers and surve the areas where work is needed so functional programming principles may be applied in efficient and practical parallel computing. © 1993 IEEE.

关键词： Functional programming

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Debugging the MP-2001

Debugging the MP-2001

引用

1992 workshop on Future Directions of massively parallel Processing: The New Frontiers

作者： Becher, Jonathan D. McDowell, Charles E. MasPar Computer Corp. 749 North Mary Avenue SunnyvaleCA94086 United States Computer and Information Sciences Univ. of Calif. Santa Cruz Santa CruzCA95064 United States

ISBN: (纸本)0818644109

The author examine how current debugger technology should or could be extended to debuajnas-sively parallel computers in the year 2001.-The-sume Thai the programming language is an imperative language with constructs (extensions) for data mapping, process mapping, interprocess communication and synchronization. They address both performance debugging and correctness debugging. © 1993 IEEE.

关键词： parallel programming

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An approach to portable parallel programs

An approach to portable parallel programs

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1992 workshop on Future Directions of massively parallel Processing: The New Frontiers

作者： Weems, Charles C. Computer Science Dept. University of Massachusetts AmherstMA01003 United States

ISBN: (纸本)0818644109

parallel architectures vary greatly in their organizations. These differences arise naturally from designing machines to fit different problem domains, and from different physical and cost constraints. Thus, the world is, and will continue to be, populated with parallel processors having significantly different organizations and hence, incompatible programming models: A program written specifically for one parallel processor does not transport directly to another. Without portability, parallel processing cannot expect to enter the mainstream of computation. This paper broadly outlines how supporting a heterogeneous parallel programming model and alternate implementations can achieve portability among different parallel processors. © 1993 IEEE.

关键词： parallel architectures

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