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In this proceedings we describe the computational challenges associated tothe determination of parton distribution functions (PDFs). We compare theperformance of the convolution of the parton distributions with matrix elementsusing different hardware instructions. We quantify and identify the mostpromising data-model configurations to increase PDF fitting performance inadapting the current code frameworks to hardware accelerators such as graphicsprocessing units.

Towards hardware acceleration for parton densities estimation