The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Nonlinear inversion algorithms have many applications in geophysical explorations, biomedical imaging, nondestructive testing and etc. One of the bottlenecks in these algorithms is the computational efficiency. In this abstract, we investigate accelerating the contrast source inversion algorithm using graphic process unit. By taking advantage of the massively parallel computing architecture of GPU,...
Nonlinear inversion algorithms of electromagnetic data have been widely used. However, computational cost is still one of the bottlenecks for their applications. In this letter, we study an acceleration scheme for the multifrequency multiplicative regularized contrast source inversion algorithm using compute unified device architecture and graphic process unit (GPU). Numerical results show that the...
Nonlinear inversion algorithms of electromagnetic data have been widely used in many areas to reconstruct the electrical properties of unknown domains. However, their applications are still restricted by the computational cost when processing large datasets. Many efforts have been made on developing fast nonlinear inversion algorithms, but few of them was focused on the characteristics of the hardware...
It is known that nonlinear inversion algorithms have good accuracy in inverting electromagnetic data. However, their applications are still limited by their computational complexity. In this paper, we study an acceleration scheme for the two-dimensional multiplicative regularized contrast source inversion (MR-CSI) algorithm using compute unified device architecture (CUDA) and NVIDIA general purpose...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.