Massively Parallel Processor Array for Mid-/Back-end Ultrasound Signal Processing

Dean Truong
Bevan Baas
VLSI Computation Laboratory
Department of Electrical and Computer Engineering
University of California, Davis

Nominated for Best Student Paper.


Ultrasound remains a popular imaging modality due to its
mobility and cost-effectiveness. As general purpose computing and DSPs
are entering an era of multi-core architectures, the potential for parallel
performance gains are significant when used properly. This work explores
the possibility of using a massively parallel processor array to meet 
realtime throughputs for mid-/back-end ultrasound processing. A many-core
array of simple DSP cores, shared memories, and an FFT processor is
shown to dissipate 87.79 mW for B-mode, 33.20 mW for color flow, and
29.24 mW for spectral doppler, while achieving a frame rate of 37.6 fps
for B-mode and 12.5 fps for color flow.




D. N. Truong and B. M. Baas, "Massively Parallel Processor Array for Mid-/Back-end Ultrasound Signal Processing" IEEE Biomedical Circuits and Systems Conference (BioCAS '10), pp. 274-277, Nov. 2010.

BibTeX entry

    author={Truong, D. N. and Baas, B. M.},
    title={Massively Parallel Processor Array for Mid-/Back-end Ultrasound Signal Processing},
    booktitle={Biomedical Circuits and Systems Conference (BioCAS), 2010 IEEE},

VCL Lab | ECE Dept. | UC Davis

Last update: Feb. 07, 2010