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Optimization of a GPU implantation of multi-dimensional RF pulse design algorithm
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|Title:||Optimization of a GPU implantation of multi-dimensional RF pulse design algorithm|
|Date Issued:||May 2011|
|Publisher:||[Honolulu] : [University of Hawaii at Manoa], [May 2011]|
|Abstract:||Pulse sequences are commonly used for both routine clinical diagnosis and advanced applications. The purpose of the pulse sequence is to manipulate the magnetization in order to produce the desired signal. However, the main drawback is that the calculation takes too much time. This project shows that modern graphics processing units work efficiently during the RF Pulse generation, which could improve the time calculation speed enormously. This paper introduces the use of GPU techniques such as multithreads, sharedMem, coalesce, and constMem to optimize the performance of the conjugate gradient least square algorithm for RF pulse. Compared to a CPU implementation, a version utilizing the conjugate gradient least square algorithm on the NVIDIA Tesla C 1060 is significantly faster. The total time is reduced by a factor of 129 relative to the CPU version.|
|Description:||M.S. University of Hawaii at Manoa 2011.|
Includes bibliographical references.
|Appears in Collections:||
M.S. - Electrical Engineering|
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