NDLI: Software based ultrasound B-mode/beamforming optimization on GPU and its performance prediction

Content Provider	IEEE Xplore Digital Library
Author	Thi Yen Phuong Jeong-Gun Lee
Copyright Year	2014
Description	Author affiliation: Dept. of Comput. Eng., Hallym Univ., Chuncheon, South Korea (Thi Yen Phuong; Jeong-Gun Lee)
Abstract	In the paper, we design and optimize an ultrasound B-mode imaging including a high-computationally demanding beamformer on a commercial GPU. For the performance optimization, we explore the design space spanned with the use of different memory types, instruction scheduling and thread mapping strategies, etc. Then, with the developed B-mode imaging code, we conduct performance evaluations on various GPUs having different architectural features (e.g., the number of cores and core frequency). Through the experiments on various different GPU devices, we search “performance-significant-factors” which are hardware features of affecting B-mode imaging performance. Then, the analytical relationship between these GPU architectural design factors and the B-mode imaging performance is derived for our target application. At the commercial aspect of developing a product, we can select GPU architectures which are best suitable for the ultrasound applications through the prediction model. In the future, using the predictions, it would be also possible to customize a “cost-minimal” GPU architecture which satisfies a given performance constraint. In addition, the prediction model can be used to dynamically control the activity of GPU components according to the temporal requirement of performance and power/energy consumptions in portable ultrasound diagnosis systems.
Starting Page	1
Ending Page	10
File Size	500345
Page Count	10
File Format	PDF
e-ISBN	9781479959761
DOI	10.1109/HiPC.2014.7116911
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-12-17
Publisher Place	India
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Imaging Ultrasonic imaging Array signal processing Computer architecture Instruction sets Kernel CUDA B-mode ultrasound imaging beamforming GPU parallel processing
Content Type	Text
Resource Type	Article

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