João Lourenço

O advento da fotografia digital está na base de uma clara mudança de paradigma no processo de gestão da fotografia por amadores. Porque tirar mais uma fotografia agora não representa qualquer custo adicional, é frequente tirarem-se múltiplas fotografias ao mesmo sujeito, na expectativa de que uma delas corresponda aos padrões de qualidade desejados, em termos de iluminação, foco e enquadramento. Assumindo que a questão do enquadramento se resolve facilmente recorrendo ao recorte (crop) da fotografia, tem-se ainda assim que selecionar qual das várias fotografias bem enquadradas, tecnicamente parecidas em termos de iluminação e foco, vamos guardar (e por oposição quais vamos descartar). A escolha da melhor fotografia com base na observação visual em ecrã de computador é um processo muito pouco preciso e, portanto, gerador de sensações de insegurança que resultam, muitas vezes, na opção de não descartar nenhuma das várias fotografias semelhantes. Neste artigo propomo-nos endereçar a questão de como ajudar um fotógrafo amador a selecionar a melhor fotografia de um conjunto de fotografias semelhantes em termos técnicos (foco e iluminação) e de enquadramento. Este processo é baseado num workflow suportado por um pacote de software, que com alguma ajuda do utilizador permite ordenar um conjunto de fotografias semelhantes, sendo assim possível escolher aquela que melhor corresponde às expectativas e dando segurança e conforto na eventual eliminação das restantes.

SmART (Smart Application Reconfiguration Tool) is a framework for the automatic configuration of systems and applications. The tool implements an application configuration workflow that resorts to the similarities between configuration files (i.e., patterns such as parameters, comments and blocks) to allow a syntax independent manipulation and transformation of system and application configuration files.Without compromising its generality, SmART targets virtualized IT infrastructures, configuring virtual appliances and its applications. SmART reduces the time required to (re)configure a set of applications by automating time-consuming steps of the process, independently of the nature of the application to be configured. Industrial experimentation and utilization of SmART show that the framework is able to correctly transform a large amount of configuration files into a generic syntax and back to their original syntax. They also show that the elapsed time in that process is adequate to what would be expected of an interactive tool. SmART is currently being integrated into the VIRTU bundle, whose trial version is available for download from the projects web page.

Most known teaching experiences focus on parallel computing courses only, but some teaching experiences on distributed computing courses have also been reported. In this paper we describe a course on Parallel and Distributed Processing that is taught at undergraduate level in the Computer Science degree of our University.This course presents an integrated approach concerning concurrency, parallelism, and distribution issues. It's a breadth-first course addressing a wide spectrum of abstractions: the theoretical component focus on the fundamental abstractions to model concurrent systems, including process cooperation schemes, concurrent programming models, data and control distribution, concurrency control and recovery in transactional systems, and parallel processing models; the practical component illustrates the design and implementation issues involved in selected topics such as a data and control distribution problem, a distributed transaction-based support system and a parallel algorithm.We also discuss how this approach has been contributing to prepare the student to further actions regarding research and development of concurrent, distributed, or parallel systems.

To provide high-level graphical support for PVM (Parallel Virtual Machine) based program development, a complex programming environment (GRADE) is being developed. GRADE currently provides tools to construct, execute, debug, monitor and visualise message-passing parallel programs. It offers high-level graphical programming abstraction mechanism to construct parallel applications by introducing a new graphical language called GRAPNEL. GRADE also provides the programmer with the same graphical user interface during the program design and debugging stages. A distributed debugging engine (DDBG) assists the user in debugging GRAPNEL programs on distributed memory computer architectures. Tape/PVM and PROVE support the performance monitoring and visualization of parallel programs developed in the GRADE environment.

We discuss issues in the design and implementation of a flexible debugging tool and its integration into a parallel software engineering environment.

This paper describes a debugging interface that has been developed for a parallel software engineering environment and that was developed on top of the PVM environment in the scope of the SEPP and HPCTI projects of the COPERNICUS Program. The main goal of this interface is to provide the basic debugging functionalities that are required by some components of that environment. We give special attention to the requirements posed by high-level tools of the environment, and to the need of providing a flexible debugging support layer that can be suitably adapted and extended. We present the system logical architecture and the interface specification of the debugging engine. We discuss its interfacing with other components of the environment, namely a graphical editor for the GRAPNEL visual parallel programming language, and a testing tool. We finally describe current work on the improvement of the debugging engine. Keywords: Debugging, monitoring, parallel processing, software tools.

This paper presents an approach to education in Parallel and Distributed Processing undertaken in the Technical University of Gdansk and Technical University of Wroclaw. The paper gives a detailed structure of the project entitled "Teaching Parallel Processing: Development of Curriculum and Software Tools" which was started in 1994 and will be finish in 1997. Two universities from Poland: Technical University of Gdansk and Technical University of Wroclaw and two universities from EC countries: University Autònoma of Barcelona from Spain and University Nova of Lisbon from Portugal participate in the presented project. The main aim of the project is to develop existing curricula of Computer Science specialisation and to establish specialisation concerned with parallel and distributed processing at Polish universities.