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Big Data, Streaming Graphs, and the Need for Innovations in Architecture
Fri, Mar 03, 2017 @ 10:30 AM - 11:30 AM
Ming Hsieh Department of Electrical and Computer Engineering
Conferences, Lectures, & Seminars
Speaker: Peter Kogge, University of Notre Dame
Talk Title: Big Data, Streaming Graphs, and the Need for Innovations in Architecture
Abstract: This talk will start with some insights gleaned from looking at real-world big data problems and how they are affected by architecture. The Emu migrating thread architecture is then introduced and compared. A general template for integrated big graph batch and streaming analytic processing is developed, and key graph operations, especially streaming, listed. A discussion follows on how the Emu architecture meshes well with such a dual-mode computing template, with some specific emphasis on machine learning functions.
Biography: x
Host: Viktor Prasanna, EEB 200, prasanna@usc.edu
Location: 248
Audiences: Everyone Is Invited
Contact: Gerrielyn Ramos
