Abstract
The development of a parallel program which runs efficiently on a parallel machine is a difficult task and takes much more effort than the development of a sequential one. A programmer has to consider communication and synchronization requirements, the complexity of data accesses, as well as the problem of partitioning work and data, depending on the underlying programming model. Additionally, the potentially nondeterministic behavior of concurrent activities running on the parallel machine aggravates the test and debugging phase in the software development cycle. Even when a program is validated and produces correct results, a considerable amount of work has to be done in order to tune the parallel program to efficiently exploit the resources of the parallel machine.
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Karl, W., Leberecht, M., Oberhuber, M. (1999). SCI Monitoring Hardware and Software: Supporting Performance Evaluation and Debugging. In: Hellwagner, H., Reinefeld, A. (eds) SCI: Scalable Coherent Interface. Lecture Notes in Computer Science, vol 1734. Springer, Berlin, Heidelberg. https://doi.org/10.1007/10704208_32
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DOI: https://doi.org/10.1007/10704208_32
Publisher Name: Springer, Berlin, Heidelberg
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