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Real-time VLSI architecture for bio-medical monitoring
conference contribution
posted on 2010-05-05, 15:42 authored by Vassilios Chouliaras, Sijung HuSijung Hu, Ron Summers, Angelos S. Echiadis, V Azorin-Peris, I. King, Jia ZhengThis paper discusses the architecture and implementation of SSS2, a high-performance real-time signal processing system developed with a hybrid ESL/RTL methodology and targeted to biomedical image processing. Traditional methodologies, as well as new tools, such as Cebatech's C2R untimed-C synthesizer have been employed in the design of the system. The SSS2 platform specifies a parametric number of scalar processing elements, based on multiple 32-bit Sparc-compliant engines, augmented with LE2, an ESL-designed 2-way LIW/SIMD accelerator. LE2, which is purely designed in C, exposes a consistent interface to its SIMD datapath directly which is directly derived from the C-source of open-source image processing codes. It is synthesized to Verilog RTL with C2R. Behaviorally-synthesized SIMD datapaths are then 'plugged-in' into the exposed LE2 datapath interface. The LE2 memory interface can be either a cache- based configurable vector load/store unit or a multi-banked, multi-channel streaming local memory system. Results drawn from this work strongly suggest a shift towards a hybrid approach in designing multi-core systems for high bandwidth streaming and for dealing with large scale medical image transfers and non-linear bio-signal processing algorithms.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
CHOULIARAS, V.A.....et al., 2008. Real-time VLSI architecture for bio-medical monitoring. IN: Proceedings of the 5th International Conference on Information Technology and Application in Biomedicine, in conjunction with The 2nd International Symposium & Summer School on Biomedical and Health Engineering, Shenzhen, China, May 30-31, pp. 463-466Publisher
© IEEEVersion
- VoR (Version of Record)
Publication date
2008Notes
This is a conference paper [© IEEE]. It is also available at: http://ieeexplore.ieee.org/ Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.ISBN
9781424422548Language
- en