Design Space Exploration of Many-Core Processors for Ultrasonic Image Processing at Different Resolutions 


Vol. 19,  No. 3, pp. 121-128, Jun.  2012
10.3745/KIPSTA.2012.19.3.121


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  Abstract

This paper explores the optimal processing element (PE) configuration for ultrasonic image processing at different resolutions (256x256, 768x1,024, and 1,024x1,280). To determine the optimal PE configuration, this paper evaluates the impacts of a data-per-processing element (DPE) ratio that is defined as the amount of image data directly mapped to each PE on system performance and both energy and area efficiencies using architectural and workload simulations. This paper illustrates the correlation between DPE ratio and PE architecture for a target implementation in 130nm technology. To identify the most efficient PE structure, seven different PE configurations were simulated for ultrasonic image processing. Experimental results indicate that the highest energy efficiencies were achieved at PEs=1,024, 4,096, and 16,384 for ultrasonic images at 256x256, 768x1, 024, 1,024x1, 280 resolutions, respectively. Furthermore, the maximum area efficiencies were yielded at PEs=256 (256x256 image) and 4,096 (768x1, 024 and 1,024x1, 280 images), respectively.

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[IEEE Style]

S. M. Kang and J. M. Kim, "Design Space Exploration of Many-Core Processors for Ultrasonic Image Processing at Different Resolutions," The KIPS Transactions:PartA, vol. 19, no. 3, pp. 121-128, 2012. DOI: 10.3745/KIPSTA.2012.19.3.121.

[ACM Style]

Sung Mo Kang and Jong Myon Kim. 2012. Design Space Exploration of Many-Core Processors for Ultrasonic Image Processing at Different Resolutions. The KIPS Transactions:PartA, 19, 3, (2012), 121-128. DOI: 10.3745/KIPSTA.2012.19.3.121.

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