Evaluating Intel MIC platforms for Throughput Computing in the context of Medical Applications

Project: Research project

Project Details

Description

Evaluating Intel MIC platforms for Throughput Computing in the context of Medical Applications Evaluating Intel MIC platforms for Throughput Computing in the context of Medical Applications The focus of this work is to evaluate the efficacy of Intels Many Integrated Core (MIC) platforms in throughput computing (TC) for medical applications (e.g. monitoring large patient population, computing the control signals for different drugs to be administered, store the continuously monitored signal into data bases, perform analysis on the stored data, timely notify or update the medical personal, etc.). The MIC performance will be compared against Sandy Bridge (with AVX) and NVidia Fermi (Tesla M2090) Patient monitoring is used in ICU scenario in hospitals where monitoring of patients with chronic health ailments or elderly patient monitoring is done continuously. If large number of patients are monitored continuously with different types of sensors, there is a need of central control unit (CCU) that can handle data from different sensors and multiple patients at a time. CCU requires high computing capability in order to process the continuous input signal from the sensors and compute the amount of drug that will be administered. In this project we will explore the architecture suitability of Intel Many Core MIC platforms for use in real time processing in medical applications.
StatusFinished
Effective start/end date8/1/127/31/13

Funding

  • INDUSTRY: Domestic Company: $110,976.00

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