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1. Map-Reduce for Machine Learning on Multi-Core Gary Bradski, work with Stanford: Prof. Andrew Ng Cheng-Tao, Chu, Yi-An Lin, Yuan Yuan Yu. Sang Kyun Kim with Prof. Kunle…

Technology Using Information Scent to Model Users in Web1.0 and Web2.0

1. Modeling of Web Users from Web1.0 to Web2.0 Ed H. Chi, Principal Scientist and Area Manager Augmented Social Cognition Area Palo Alto Research Center Image from: http://www.flickr.com/photos/ourcommon/480538715/…

Documents Where do security bugs come from?

Where do security bugs come from? Any how do you find them in the real world? Stanford CS 155 Spring 2015 Alex Stamos CISO at Yahoo! 2012 - founded Artemis Internet (.secure…

Documents ECSE-4965-01, Spring 2014 (modified from Stanford CS 193G)

Introduction To Massively Parallel Computing ECSE-4965-01, Spring 2014 (modified from Stanford CS 193G) Lecture 1: Introduction to Massively Parallel Computing © 2008 NVIDIA…

Documents Optimizing Gpu Performance

Stanford CS 193G Lecture 15: Optimizing Parallel GPU Performance 2010-05-20 John Nickolls © 2010 NVIDIA Corporation Optimizing GPU Performance 2010-05-20 1 Optimizing parallel…

Documents Everything you wanted to know about US grad schools (but were afraid to ask) Tahir Azim.

Introduction to Distributed Computing and RPCs Everything you wanted to know about US grad schools (but were afraid to ask) Tahir Azim Why we are here Applying to grad schools…

Documents Where do security bugs come from?

Where do security bugs come from? Any how do you find them in the real world? Stanford CS 155 Spring 2015 Alex Stamos CISO at Yahoo! 2012 - founded Artemis Internet (.secure…