Electromagnetic Device Optimization: The Forking of Already Parallelized Threads on Graphics Processing Units

─ 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. Index Terms Finite elements, GPU computing, inverse problems, parallelization.