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The slogan of last year's International Workshop on OpenMP was "A Practical Programming Model for the Multi-Core Era", although OpenMP still is fully hardware architecture agnostic. As a consequence the programmer is left alone with bad performance if threads and data happen to live apart. In this work we examine the programmer's possibilities to improve(More)
In this paper we show how modern shared-memory paral-lelization techniques can gain nearly linear speedup in content-based image retrieval. Using OpenMP, few changes are applied to the source code to enable the exploitation of the capabilities of current multi-core/multi-processor systems. These techniques allow the use of computationally expensive methods(More)