High Performance Analytics and Computing

Abstract

Data is growing exponentially and demanding new approaches to system design. As Big Data becomes characteristic of all computing workloads, from high-end scientific modeling and visualization to commercial applications across all industries, data-centric approaches from the realm of high-performance computing (HPC) are evolving, integrating Cognitive technologies and the Cloud to enable Systems of Insight.

Speaker Bio

Dave is currently the Vice President, HPC Market Engagement at IBM with responsibility for IBM’s overall high performance computing strategy. In previous executive positions Dave helped launch IBM’s Grid Computing business, and started and ran IBM’s Linux Cluster business. As a development executive he had responsibility for IBM’s SP supercomputer program as well as the mainframe version of AIX and other Unix software. In that capacity he orchestrated the initial IBM development effort in support of the US Accelerated Strategic Computing Initiative at Lawrence Livermore National Laboratory.

He has been recognized for his contributions to the Roadrunner program at Los Alamos National Laboratory in the Congressional Record and sits on the Advisory Committee to the National Simulation Center at the University of Tennessee at Chattanooga. Dave has degrees in Philosophy and Mathematics from the University of Rochester, a Masters Degree from Trinity College, and advanced study at the University of Pennsylvania in Operations Research.