GPU-powered simulation methodologies for biological systems

Daniela Besozzi, Giulio Caravagna, Paolo Cazzaniga, Marco Nobile, Dario Pescini, Alessandro Re

Research output: Contribution to journalConference articlepeer-review

2 Citations (Scopus)
7 Downloads (Pure)


The study of biological systems witnessed a pervasive cross-fertilization between experimental investigation and computational methods. This gave rise to the development of new methodologies, able to tackle the complexity of biological systems in a quantitative manner. Computer algorithms allow to faithfully reproduce the dynamics of the corresponding biological system, and, at the price of a large number of simulations, it is possible to extensively investigate the system functioning across a wide spectrum of natural conditions. To enable multiple analysis in parallel, using cheap, diffused and highly efficient multi-core devices we developed GPU-powered simulation algorithms for stochastic, deterministic and hybrid modeling approaches, so that also users with no knowledge of GPUs hardware and programming can easily access the computing power of graphics engines.
Original languageEnglish
Pages (from-to)87-91
Number of pages5
JournalElectronic Proceedings in Theoretical Computer Science, EPTCS
Publication statusPublished - 1 Jan 2013
Externally publishedYes
Event2013 Italian Workshop on Artificial Life and Evolutionary Computation, Wivace 2013 - Milan, Italy
Duration: 1 Jul 20132 Jul 2013


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