Speaker:  John Feo , Director, Northwest Institute for Advanced Computing, Pacific Northwest National Laboratory 

Date:  September 20, 2018

Location:  ISEC 655 Lounge

Time: 2:00pm

Title: Supporting a hybrid data model at scale for data analytic workflows

Abstract

Economic competitiveness and national security depend increasingly on the insightful analysis of large data sets. The diversity of heterogeneous data sources and analytic workflows impose challenging hardware and software requirements not met by traditional approaches. Relational table-based methods obscure complex patterns of activities in time and space, while pure graph platforms cannot perform efficiently join and select operations or matrix computations when required. In this talk, I will describe a hybrid data model we are developing to run at scale on emerging high-performance computer systems that supports tables, graphs, and matrices without preference.  Our software stack, HAGGLE, comprises a hierarchical graph method library, extendible APIs, an abstract graph model for code transformations and optimizations, and an abstract multhreaded runtime system capable of hiding memory and synchrozation latencies.  I will present code examples and performance results.

Bio
Dr. John Feo is the Director of the Northwest Institute for Advanced Computing, a joint institute established by Pacific Northwest National Laboratory and University of Washington. He is PI on several DOE and DOD research project in graph algorithms, search, parallel computing, and multithreaded architectures.  Dr. Feo received his Ph.D. in Computer Science from The University of Texas at Austin. He began his career at Lawrence Livermore National Laboratory where he managed the Computer Science Group and was the principal investigator of the Sisal Language Project. Dr. Feo then joined Tera Computer Company (now Cray Inc) where he was a principal engineer and product manager for the MTA-1 and MTA-2, Cray’s multithreaded architecture. He has taken short sabbaticals to work at Sun Microsystem, Microsoft, and Context Relevant. Dr. Feo’s has held academic positions at UC Davis and Washington State University.