Final Report on Accelerator Architectures and Algorithms for Embedded Machine Learning in Medical Sensor Applications

  • Authors:
    Naveen Verma (Princeton), Lung-Yen Chen (Princeton), Zhuo Wang (IBM)
    Publication ID:
    P090158
    Publication Type:
    Deliverable Report
    Received Date:
    31-Jan-2017
    Last Edit Date:
    9-May-2017
    Research:
    2322.001 (Princeton University)

Research Report Highlight

Researchers from Princeton developed six medical sensor applications using a configurable, machine learning accelerator. A 3D, face to face IC architecture was employed to enable high accelerator/memory bandwidth and a 3 to 500 x energy reduction.

Abstract

This report provides testing details and characterization summary of a 3D IC for accelerator-based architectures. This report also summarizes the major research accomplishments and future directions from the overall project.

4819 Emperor Blvd, Suite 300 Durham, NC 27703 Voice: (919) 941-9400 Fax: (919) 941-9450