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Cunha, J. C., and J. M. Lourenço, "An Integrated Course on Parallel and Distributed Processing", SIGCSE Bull., vol. 30, New York, NY, USA, ACM, pp. 217–221, 1998. Abstractsigcse98.pdfWebsite

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.

Lourenço, J. M., J. C. Cunha, H. Krawczyk, P. Kuzora, M. Neyman, and B. Wiszniewski, "An integrated testing and debugging environment for parallel and distributed programs", EUROMICRO Conference, Los Alamitos, CA, USA, IEEE Computer Society, pp. 291, 1997. Abstracteuromicro97.pdfWebsite

To achieve a certain degree of confidence that a given program follows its specification, a testing phase must be included in the program development process, and also a complementary debugging phase to help locating the program's bugs. This paper presents an environment which results of the composition and integration of two basic tools: STEPS (Structural TEsting of Parallel Software), which is a testing tool, and DDBG (Distributed DeBuGger), which is a debugging tool. The two tools are presented individually as stand-alone tools, and we describe how they were combined through the use of another intermediate tool: DEIPA (Deterministic re-Execution and Interactive Program Analysis). We claim that the result achieved is a very effective testing and debugging environment.