TRAPPER: A graphical programming environment for industrial high-performance applications

Scheidler, Christian; Schäfers, Lorenz; Krämer-Fuhrmann, Ottmar

doi:10.1007/3-540-56891-3_32

Cited by 26 publications

(3 citation statements)

References 11 publications

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“…O TRAPPER [8] descreve as aplicações em dois níveis de abstração: a estrutura paralela do programa é descrita através de um grafo de processos, ao passo que os componentes seqUenciais são representados de forma textual. O grafo de processos consiste em nós e arestas, onde os nós representam os processos c as arestas representam os canais de comunicação.…”

Section: Trabalhos Relacionadosunclassified

“…Ambientes que representam o esboço da aplicação -são ambientes que representam os módulos da aplicação (geralmente tarefas ou processos) e o relacionamento entre eles (portas e fluxo de mensagens), mas não descrevem graficamente o algoritmo de cada tarefa. Exemplos deste tipo de ambiente incluem o Statematc L5], o Millipede[7] e o TRAPPER[8].• Ambientes que representam o algoritmo de cada tarefa -são ambientes que permitem descrever o algoritmo das taref\1 de uma forma similar a um fluxograma. A linguagem GRAPNEL[9] se enquadra nesta categoria.• Ambientes que adotam notações separadas para representar o esboço da aplicação e os algoritmos das tarefas -são ambientes que combinam as duas representações gráficas anteriores, mantendo uma consistência entre dois tipos de diagrama: um para o esboço da aplicação e outro para o algoritmo de cada tarefa.…”

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Transição Entre Projeto e Implementação de Sistemas Paralelos de Tempo-Real Usando o Gerador de Programas Paralelos

Ribeiro

Silva

Moron

et al. 1998

Anais Do XII Simpósio Brasileiro De Engenharia De Software (SBES 1998)

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Este artigo mostra o processo de transição entre o projeto e a implementação de aplicações paralelas de tempo-real através do Gerador de Programas Paralelos, uma ferramenta gráfica que facilita a geração e depuração do código fonte destas aplicações. O Gerador de Programas Paralelos é uma das ferramentas do Ambiente Visual de Desenvolvimento de Programas Paralelos de Tempo-Real. Basicamente, este ambiente consiste em um conjunto integrado de ferramentas que auxilia o desenvolvimento de aplicações paralelas de tempo real, executadas com o suporte do kernel Virtuoso (Virtuoso é uma marca registrada da Eonic Systems). Uma vez que o objetivo do Gerador de Programas Paralelos é dar continuidade no desenvolvimento de projetos usando os métodos mais comuns (tradicionais ou orientados-a-objeto), um exemplo é mostrado para ilustrar os recursos oferecidos pela ferramenta, cuja primeira versão está disponível em http://www.dc.ufscar.br/~tev/tev.html.

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Transição Entre Projeto e Implementação de Sistemas Paralelos de Tempo-Real Usando o Gerador de Programas Paralelos

Ribeiro

Silva

Moron

et al. 1998

Anais Do XII Simpósio Brasileiro De Engenharia De Software (SBES 1998)

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“…The annotated Process Communication Graphs (PCG). PCGs have been extensively used in modeling, dynamic analysis and simulation [10,11], in mapping techniques [1,8], etc. and depict the topology of the processes involved in an application.…”

Section: Motivationmentioning

confidence: 99%

Message-passing program development by ensemble

Cotronis

1997

Recent Advances in Parallel Virtual Machine and Message Passing Interface

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We present Ensemble, a message-passing implementation methodology, applied to PVM. Ensemble overcomes problems and complexities in developing applications in messagepassing environments (MPE). Applications are specified by scripts, which represent Process Communication Graphs (PCG) annotated with information specific for an MPE, and by reusable executable components. A loader program interprets the scripts and composes applications from reusable components. MotivationThe design and implementation of parallel message passing applications (MPA) have been recognized as demanding tasks. PVM [5] and MPI [6] Message Passing Environments (MPE) have improved the situation, as they permit the implementation of applications independently of the underlying architecture, but the step from application design to implementation remains, in general, a demanding task. The implementation does not only require the programming of sequential code solving a problem or providing a service, but also requires the explicit programming of process management, e.g. process creation, process topologies and their mapping onto the architecture. As MPEs differ significantly in the way they manage processes, message passing program implementation presents a number of difficulties. MPEs impose on application implementation their own structure to such a degree, that implementations of the same application design (even a simple ring topology) on different MPEs, using the same language for the sequential computations, look very different. The implementation difficulty does not depend only on the complexity of the design, but also on the particular MPE used. Some applications are more easily implemented on some MPEs than on others. For example, a general tree topology is easy to implement on PVM, but difficult on MPI. The difficulty arises from the process management model each MPE uses. Often, the original application design is obscured in the implementation by the required process management programming. Consequently, implementation requires special techniques and skills, different for each MPE. There are no methodologies for implementing applications on PVM or MPI. Programmers have to implement relying on their experience, quite often in an ad hoc way, developing programs that are difficult to debug, extend and modify. Important aspects of parallel programming, such as scalability, reusability are often neglected. Scalability is programmed only when the design has some regularity, as expressed by some function; the degree of difficulty for programming scalability also depends on the MPE used. Reusability of executables is limited as process management (creation, topology, mapping, etc.) is encoded in them; processes are programmed to operate in a fixed topology of known processes. We have developed a message passing program implementation methodology, called Ensemble, for overcoming the above problems. The original design is maintained in the implementation, programs implementing the same designs in different MPEs look similar, are easily ...

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Experience with parallel programming using code templates

Singh

Schaeffer

Szafron

1998

Concurrency: Pract. Exper.

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For almost a decade we h a ve b e e n w orking at developing and using template-based models for parallel computing. Template-based models separate the speci cation of the parallel structuring aspects from the application code that is to be parallelized. A user provides the application code and speci es the parallel structure of the application using high-level icons, called templates. The parallel programming system then generates the code necessary for parallelizing the application. The goal here is to provide a mechanism for quick and reliable development of coarse-grain parallel applications that employ frequently occurring parallel structures. Our initial template-based system, FrameWorks, was positively received but had a number of shortcomings. The Enterprise parallel programming environment e v olved out of this work. Now, after several years of experience with the system, its shortcomings are becoming evident. Controlled experiments have been conducted to assess the usability of our system in comparison with other systems. This paper outlines our experiences in developing and using these systems. A list of desirable characteristics of template-based models is given. FrameWorks and Enterprise systems are discussed in the context of these characteristics and the results of our usability experiments. Many o f our observations are relevant to other parallel programming systems, even though they may be based on di erent assumptions. Although template-base models have the potential for simplifying the complexities of parallel programming, they have y et to realize these expectations for high-performance applications.

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TRAPPER: A graphical programming environment for industrial high-performance applications

Cited by 26 publications

References 11 publications

Transição Entre Projeto e Implementação de Sistemas Paralelos de Tempo-Real Usando o Gerador de Programas Paralelos

Transição Entre Projeto e Implementação de Sistemas Paralelos de Tempo-Real Usando o Gerador de Programas Paralelos

Message-passing program development by ensemble

Experience with parallel programming using code templates

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