Electromagnetic Device Optimization: The Forking of Already Parallelized Threads on Graphics Processing Units
Keywords:
Finite elements, GPU computing, inverse problems, parallelizationAbstract
In light of the new capability to fork an already parallelized kernel on a GPU, this paper shows how the use of the parallelization capabilities of a PC’s Graphics Processing Unit (GPU) makes the finite element design of coupled problems (such as the electroheat shape optimization problems we work with) realistic and practicable in terms of computational time.
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References
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