Performance evaluation of multi core systems for high throughput medical applications involving model predictive control

Madhurima Pore, Ayan Banerjee, Sandeep Gupta

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Many medical control devices used in case of critical patients have model predictive controllers (MPC). MPC estimate the drug level in the parts of patients body based on their human physiology model to either alarm the medical authority or change the drug infusion rate. This model prediction has to be completed before the drug infusion rate is changed i.e. every few seconds. Instead of mathematical models like the Pharmacokinetic models more accurate models such as spatio-temporal drug diffusion can be used for improving the prediction and prevention of drug overshoot and undershoot. However, these models require high computation capability of platforms like recent many core GPUs or Intel Xeon Phi (MIC) or IntelCore i7. This work explores thread level and data level parallelism and computation versus communication times of such different model predictive applications used in multiple patient monitoring in hospital data centers exploiting the many core platforms for maximizing the throughput (i.e. patients monitored simultaneously). We also study the energy and performance of these applications to evaluate them for architecture suitability. We show that given a set of MPC applications, mapping on heterogeneous platforms can give performance improvement and energy savings.

Original languageEnglish (US)
Title of host publication2014 21st International Conference on High Performance Computing, HiPC 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959761
DOIs
StatePublished - 2014
Event2014 21st International Conference on High Performance Computing, HiPC 2014 - Goa, India
Duration: Dec 17 2014Dec 20 2014

Other

Other2014 21st International Conference on High Performance Computing, HiPC 2014
CountryIndia
CityGoa
Period12/17/1412/20/14

ASJC Scopus subject areas

  • Computer Science (miscellaneous)
  • Hardware and Architecture
  • Software

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    Pore, M., Banerjee, A., & Gupta, S. (2014). Performance evaluation of multi core systems for high throughput medical applications involving model predictive control. In 2014 21st International Conference on High Performance Computing, HiPC 2014 [7116884] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HiPC.2014.7116884