The Advanced Photon Source
a U.S. Department of Energy Office of Science User Facility

Time Domain Computing in Post Moore's Era for Modern Machine Learning Accelerators

Type Of Event
Presentation
Sponsoring Division
XSD
Location
401/A1100
Building Number
401
Room Number
A1100
Speaker
Professor Jie Gu, Northwestern University
Start Date
08-23-2019
Start Time
11:00 a.m.
Description

Abstract:
As Moore's law reaches the end of life, there is an urgency to find alternative computing method to meet the soaring demands of modern computing, e.g., that from machine learning applications.  In this talk, I will elaborate our efforts on using "time" as a new dimension for accelerating computing in modern CMOS integrated circuits (ICs).  I will first discuss our developments on mixed-signal time domain computing where we use "time" as information carrier to solve modern machine learning problems such as time series analysis, image recognition, and artificial neural network.  Second, I will show how to leverage the instruction level timing information in GPU processors to achieve energy saving on modern computing tasks including machine learning jobs.

 

08.13.2019

To report an event that is not listed, please contact webmaster, for additional synchrotron-related conferences, check lightsources.org.