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GPU-based high-performance computing for radiation therapy

Xun JiaDeparment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USAPeter ZiegenheinJoint Department of Physics, The Institute of Cancer Research and The Royal Marsden NHS Foundation Trust, SM2 5NG, SUTTON, UKSteve JiangDeparment of Radiation Oncology, University of Texas Southwestern Medical Center, Dallas, TX 75390, USA
2014en
ABI

Аннотация

Recent developments in radiotherapy therapy demand high computation powers to solve challenging problems in a timely fashion in a clinical environment. The graphics processing unit (GPU), as an emerging high-performance computing platform, has been introduced to radiotherapy. It is particularly attractive due to its high computational power, small size, and low cost for facility deployment and maintenance. Over the past few years, GPU-based high-performance computing in radiotherapy has experienced rapid developments. A tremendous amount of study has been conducted, in which large acceleration factors compared with the conventional CPU platform have been observed. In this paper, we will first give a brief introduction to the GPU hardware structure and programming model. We will then review the current applications of GPU in major imaging-related and therapy-related problems encountered in radiotherapy. A comparison of GPU with other platforms will also be presented.

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Цитирований: 2Использованных источников: 0