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https://hdl.handle.net/2142/104015
Description
Title
Optimization MEAT-COMMS for higher throughput
Author(s)
He, Xinwei
Contributor(s)
Singer, Andrew
Issue Date
2019-05
Keyword(s)
MEAT-COMMS
code optimization
OpenMP
CUDA
Abstract
By using signal processing and acoustic communication methods, Professor Singer’s group has designed and implemented a novel system to communicate with biomedical implanted devices. The system, named MEAT-COMMS (Mbps Experimental Acoustic Through-Tissue Communication), sends communication signals through biological tissues at very high data rates using ultrasound signals. Our current goal is to build a transmission system that could run with 1-3 Megabits/second, which will allow real-time video streaming. Currently, the model achieved these high data rates using offline data processing. We hope to upgrade our model to be able to not only transmit but also process data very fast so that we are able to display video in real time.
To achieve this goal, we solved this problem in two steps: First, transcribing our model (currently implemented in MATLAB) to a lower-level programming language (i.e. C/C++) to ensure efficiency. Then, using general code optimization techniques and parallel programming techniques (CPU and GPU) to speed up our implementation by fully exploiting our computational resources.
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