Webinar: Utilizing GPUs in scientific algorithms
Nowadays, GPU programming plays an important role in software development. The massive parallel hardware enables us to analyse bigger datasets, process data in finer details or visualise simulations in real-time. Still, due to the programming complexity and the lack of knowledge, GPUs are not regularly used in many scientific fields. Thankfully, GPU programming matures and provides simpler tools to utilise GPU hardware. In this presentation, we describe multiple GPU programming frameworks (ranging from high-level to low-level) and showcase them on selected bioinformatics algorithms.
Speaker: Adam Šmelko (Charles University in Prague, Czech Republic)
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