Browse > Article
http://dx.doi.org/10.9708/jksci.2011.16.8.119

Implementation of an Optimal Many-core Processor for Beamforming Algorithm of Mobile Ultrasound Image Signals  

Choi, Byong-Kook (School of Electrical Engineering, University of Ulsan)
Kim, Jong-Myon (School of Electrical Engineering, University of Ulsan)
Publication Information
Journal of the Korea Society of Computer and Information / v.16, no.8, 2011 , pp. 119-128 More about this Journal
Abstract
This paper introduces design space exploration of many-core processors that meet high performance and low power required by the beamforming algorithm of image signals of mobile ultrasound. For the design space exploration of the many-core processor, we mapped different number of ultrasound image data to each processing element of many-core, and then determined an optimal many-core processor architecture in terms of execution time, energy efficiency and area efficiency. Experimental results indicate that PE=4096 and 1024 provide the highest energy efficiency and area efficiency, respectively. In addition, PE=4096 achieves 46x and 10x better than TI DSP C6416, which is widely used for ultrasound image devices, in terms of energy efficiency and area efficiency, respectively.
Keywords
Beamforming algorithm; mobile ultrasound; SIMD based multi-core processor; data level parallelism;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 S. M. Chai, T. Taha, D. S. Wills, and J. D. Meindl, "Heterogeneous architecture models for intercon nect-motivated system design," IEEE Trans. on VLSI Systems, vol. 8, no. 6, pp. 660-670, 2000.   DOI   ScienceOn
2 V. Tiwari, S. Malik, and A. Wolfe, "Compilation tec hniques for lowenergy: An overview," in Proc. IEEE International Symposium on Low Power Electronics, pp. 38-39, 1994.
3 A. Gentile, S. Sander, L. Wills, and D. S. Wills, "The Impact of Grain Size of the Efficiency of Embedded SIMD Image Processing Architectures," Journal of Parallel Distributed Computing, Vol. 64, pp. 1318-1327, Nov. 2004.   DOI   ScienceOn
4 TMS320C64x families, http://www.bdti.com/procsum/tic64xx.htm.
5 ARM 926EJ-S data sheet,http://www.arm.com/products/ processors/classic/arm9/arm926.php
6 ARM 1020E data sheet,http://www.hotchips.org /archive s/hc13/2_Mon/02arm.pdf
7 E. B. Bourennane, S. Bouchoux, J. Miteran, M. Paindavoine, S. Bouillant, "Cost comparison of image rotation implementations on static and dynamic reconfigurable FPGAs," in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '02), vol. 3, pp. III-3176-3179, 2002.
8 S.-H. Lee, "The Design and implementation of para llel processing system using the Nios(R) II embedded processor," Journal of the Korea Society of Computer and Information, Vol. 14, No. 11, pp. 97-103, Nov. 2009.
9 A. D. Blas et. al, "The UCSC Kestrel Parallel Pro cessor," IEEE Trans. on Parallel and Distributed Systems, vol. 16, no. 1, pp. 80-92, Jan. 2005.   DOI   ScienceOn
10 A. Gentile and D. S. Wills, "Portable video super computing," IEEE Trans. on Computers, vol. 53, no. 8, pp. 960-973, Aug. 2004.   DOI   ScienceOn
11 L. V. Huynh, C.-H. Kim, J.-M. Kim, "Amassively parallel algorithm for fuzzy vector quantization," Journal of Korea Information Processing Society, Vol. 16-A, No. 6, pp. 411-418, Dec. 2009
12 J. F. Havlice and J. C. Taenzer, "Medical ultras onic imaging: An overview of principles and instrumentation," Proceedings of IEEE, vol. 67, no. 4, pp. 620-640, April 1979   DOI   ScienceOn
13 Sun-Heum Lee, Kwan-Sun Choi, Dong-Sik Kim, "New performance evaluation method of focused ultrasonic transducers by using virtual 3D graphic", Journal of the Korea Information Processing Society, vol. 14, no. 6, pp. 407-412, Oct. 2007.   DOI
14 M. E. Schafer and P. A. Lewin, "The influence of front-end hardware on digital ultrasonic imaging," IEEE Trans. Sonics Ultrasonics, vol. SU-31, no. 4, pp. 295-306, July 1984.
15 H. Kim, T. K. Song, and S. B. Park, "Apipelined sampled delay focusing in ultrasound imaging systems," Ultrasonic Imaging, vol. 9, pp. 75-91, 1987   DOI
16 Sungha Kim, Wonseok Lee, Eunhee Shin, Byungkuk Bae, Yongrae Roh, "Design and fabrication of a 64 channel ultrasonic phased array transducer", in the Acoustical Society of Korea Conference, vol. 29, no. 2, pp. 608-609, 2010.
17 Seong-Ho Jang, "Ultrasound image diagnosis devices", Journal of the Korean Institute of Electrical Engineers, vol. 48, no. 8, pp. 11-21, Aug. 1998.
18 Hoo-Jeong Lee, Haing-Sei Lee, Young-Kil Kim, Min-Hwa Lee, "A study of the improvement a lateral resolution of the ultrasound imaging system", Journal of KOSOMBE, vol. 9, no. 1, pp. 87-92, 1998.
19 T. R. Gururaja, and R. K. Panda, "Current status and future trends in ultrasonic transducers for medical imaging applications," in Proc. of the 11th IEEE International Symposium on Application of Ferroelectrics, pp. 223-228, 1998.
20 X.-G. Jiang, J.-Y. Zhou, J.-H. Shi, H.-H. Chen "FPGA implementation of image rotation using modified compensated CORDIC," in Proc. of the 6th International Conference on ASIC, vol. 2, pp. 752-756, 2005.