NDLI: FPGA-GPU-CPU heterogenous architecture for real-time cardiac physiological optical mapping

Content Provider	IEEE Xplore Digital Library
Author	Pingfan Meng Jacobsen, M. Kastner, R.
Copyright Year	2012
Description	Author affiliation: Department of Computer Science and Engineering, University of California, San Diego, 9500 Gilman Dr. La Jolla, 92093, USA (Pingfan Meng; Jacobsen, M.; Kastner, R.)
Abstract	Real-time optical mapping technology is a technique that can be used in cardiac disease study and treatment technology development to obtain accurate and comprehensive electrical activity over the entire heart. It provides a dense spatial electro-physiology. Each pixel essentially plays the role of a probe on that location of the heart. However, the high throughput nature of the computation causes significant challenges in implementing a real-time optical mapping algorithm. This is exacerbated by high frame rate video for many medical applications (order of 1000 fps). Accelerating optical mapping technologies using multiple CPU cores yields modest improvements, but still only performs at 3.66 frames per second (fps). A highly tuned GPU implementation achieves 578 fps. A FPGA-only implementation is infeasible due to the resource requirements for processing intermediate data arrays generated by the algorithm. We present a FPGA-GPU-CPU architecture that is a real-time implementation of the optical mapping algorithm running at 1024 fps. This represents a 273× speed up over a multi-core CPU implementation.
Starting Page	37
Ending Page	42
File Size	1046933
Page Count	6
File Format	PDF
ISBN	9781467328463
e-ISBN	9781467328456
e-ISBN	9781467328449
DOI	10.1109/FPT.2012.6412108
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-12-10
Publisher Place	Korea (South)
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Graphics processing units Field programmable gate arrays Optical imaging Finite impulse response filter Biomedical optical imaging Arrays Real-time systems
Content Type	Text
Resource Type	Article

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