By Giuseppe Barbarino, Mahmood Jabareen, Juergen Trzewik, Edoardo Mazza (auth.), Fernando Bello, P. J. Eddie Edwards (eds.)
This ebook constitutes the refereed lawsuits of the 4th overseas Symposium on Biomedical Simulation, ISBMS 2008, held in London, united kingdom, in July 2008.
The 19 revised complete papers and seven poster papers offered have been rigorously reviewed and chosen from a variety of submissions. The papers are geared up in 4 diverse sections equivalent to key parts and methods of this continuously increasing box: finite point modeling, mass spring and statistical form modeling, movement and fluid modeling and implementation concerns. an extra part covers the posters awarded on the meeting.
Read or Download Biomedical Simulation: 4th International Symposium, ISBMS 2008, London, UK, July 7-8, 2008 Proceedings PDF
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Additional resources for Biomedical Simulation: 4th International Symposium, ISBMS 2008, London, UK, July 7-8, 2008 Proceedings
The TLED GPU implementation relies on 2 kernels. The ﬁrst kernel operates over elements in the model and computes the element stresses based on the current model conﬁguration. It then converts these into nodal force contributions, which are written to global memory. The second kernel operates over nodes and reads the previously calculated element force contributions and sums them for each node. The SOFA central diﬀerence solver computes the displacements from the nodal forces. The element force contributions could directly be added to a global force on each node at the end of the ﬁrst kernel, but this would involve scattered writes.
3. Ratio of CPU to GPU solution times for the anisotropic viscoelastic formulation 36 O. Comas et al. comparing the computational time of the algorithm running within and outside SOFA. NVIDIA provides a tool to check the GPU implementation by evaluating many variables during the execution like for instance timings, counts of inconsistent reads and writes or GPU occupancy. We used this tool to carry out two measures: 1. GPU time only estimates the GPU computational time. 2. CPU time allows the evaluation of the execution time with the additional overhead due to the framework.
Delingette St Venant Kirchoﬀ Elasticity on Tetrahedral Meshes The elastic energy of a St Venant Kirchkoﬀ material is simply expressed as a function of invariant of the Green-Lagrange strain E : W SV K (X) = λ2 (trE)2 + µtrE2 where λ and µ are the (volumetric) Lam´e coeﬃcients related to Young Eν E Modulus and Poisson ratio as follows :λ = (1+ν)(1−2ν) and µ = 2(1+ν) . When discretizing a volumetric body with linear tetrahedral elements, the deformation function Φ(X) of a tetrahedron TP into tetrahedron TQ (see Figure 1 (right)) may be written as a function of the barycentric coordinates ηi (X) of X in TP similarly to the 2D case.