Run-time parallelization is often the only way to execute the code in parallel when data dependence information is incomplete at compile time. This situation is common in many imp...
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This paper presents two case studies of parallelization of large Natural Language Processing (NLP) applications using a parallel logic programmingsystem (called "ACE")th...
Enrico Pontelli, Gopal Gupta, Janyce Wiebe, David ...
The paper presents distributed and parallel -approximation algorithms for covering problems, where is the maximum number of variables on which any constraint depends (for example...
An application-level technique is described for farmer-worker parallel applications which allows a worker to be added or removed from the computing farm at any moment of the run ti...
Vincenzo De Florio, Geert Deconinck, Rudy Lauwerei...