4332
Paul Richmond, Simon Coakley, Daniela Romano
Cellular level agent based modelling is reliant on either sequential processing environments or expensive and largely unavailable PC grids. The GPU offers an alternative architecture for such systems, however the steep learning curve associated with the GPUs data parallel architecture has previously limited the uptake of this emerging technology. In this paper we demonstrate a […]
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Paul Richmond, Dawn Walker, Simon Coakley, Daniela Romano
Driven by the availability of experimental data and ability to simulate a biological scale which is of immediate interest, the cellular scale is fast emerging as an ideal candidate for middle-out modelling. As with bottom-up’ simulation approaches, cellular level simulations demand a high degree of computational power, which in large-scale simulations can only be achieved […]
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