An Introduction to GPU Accelerated Surgical Simulation
Identifieur interne : 005F61 ( Main/Exploration ); précédent : 005F60; suivant : 005F62An Introduction to GPU Accelerated Surgical Simulation
Auteurs : Sangild S Rensen [Danemark] ; Jesper Mosegaard [Danemark]Source :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2006.
Abstract
Abstract: Modern graphics processing units (GPUs) have recently become fully programmable. Thus a powerful and cost-efficient new computational platform for surgical simulations has emerged. A broad selection of publications has shown that scientific computations obtain a significant speedup if ported from the CPU to the GPU. To take advantage of the GPU however, one must understand the limitations inherent in its design and devise algorithms accordingly. We have observed that many researchers with experience in surgical simulation find this a significant hurdle to overcome. To facilitate the transition from CPU- to GPU-based simulations, we review the most important concepts and data structures required to realise two popular deformable models on the GPU: the finite element model and the spring-mass model.
Url:
DOI: 10.1007/11790273_11
Affiliations:
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