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DTSTAMP:20260615T003734Z
UID:905bc573-85f0-45e5-91fb-34c886fbfd48
DTSTART:20230615T090000Z
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DESCRIPTION:Nowadays\, GPU programming plays an important role in software 
 development. The massive parallel hardware enables us to analyze bigger da
 tasets\, process data in finer details or visualize simulations in real-ti
 me. Still\, due to the programming complexity and the lack of knowledge\, 
 GPUs are not regularly used in many scientific fields. Thankfully\, GPU pr
 ogramming matures and provides simpler tools to utilize GPU hardware. In t
 his presentation\, we describe multiple GPU programming frameworks (rangin
 g from high-level to low-level) and showcase them on selected bioinformati
 cs algorithms.\n\n### About the speaker\n\nAdam Šmelko is a third year do
 ctoral student in the Department of Distributed and Dependable Systems at 
 Charles University in Prague with the dissertation topic of Employing para
 llel computing in data-intensive tasks.   \n He specializes in GPU progra
 mming and in the analysis of memory accesses in programs.   \n His curren
 t research topic involves development of tools for effective memory layout
 s  and traversals of data structures. 
LOCATION:\, 
SUMMARY:Utilising GPUs in scientific algorithms
URL;VALUE=URI:https://www.ebi.ac.uk/training/events/data-protection-and-pri
 vacy-preservation-software-development
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