October 26, 2009 SGB Meeting

SIGUCCS Slides

  • SIGUCCS Slides for Viability Review, SGB Meeting, October 26, 2009
 

SIGWEB Slides

  • SIGWEB Slides for Viability Review, SGB Meeting, October 26, 2009
 

October 26, 2009 Agenda

 

SIGOPS Slides

  • SIGOPS Slides for Viability Review, SGB Meeting, October 26, 2009
 

SIG Leaders Orientation Agenda

  • SIG Leaders Orientation Agenda
 

SIGAPP Slides

  • SIGAPP Slides
 

History Committee Slides

  • History Committee Slides
 

Membership Task Force Slides

  • Membership Task Force Slides
 

Starting a SIG

  • Starting a SIG
 

Cooperating conferences

  • Cooperating conferences
 

Finance Overview

  • Finance Overview
 

Lauren's Slides

  • Lauren's Slides
 

Budgets Slides

  • Budget Slides
 

Conference Logistics

  • Conference Logistics
 

Membership and Marketing Slides

  • Membership and Marketing Slides
 

Site Selection

  • Site Selection
 

Membership/Marketing Workbook

  • Membership/Marketing Workbook
 

Publications Slides

  • Publications Slides
 

IS Slides - SIG Leaders Orientation

  • IS Slides - SIG Leaders Orientation
 

October 26, 2009 SGB Minutes

  • October 26, 2009 SGB Minutes
 

Volunteer Structure Oct 09

Prediction-Serving Systems

ACM Queue’s “Research for Practice” is your number one resource for keeping up with emerging developments in the world of theory and applying them to the challenges you face on a daily basis. In this installment, Dan Crankshaw and Joey Gonzalez provide an overview of machine learning server systems. What happens when we wish to actually deploy a machine learning model to production, and how do we serve predictions with high accuracy and high computational efficiency? Dan and Joey’s curated research selection presents cutting-edge techniques spanning database-level integration, video processing, and prediction middleware. Given the explosion of interest in machine learning and its increasing impact on seemingly every application vertical, it's possible that systems such as these will become as commonplace as relational databases are today. 

ACM Case Studies

Written by leading domain experts for software engineers, ACM Case Studies provide an in-depth look at how software teams overcome specific challenges by implementing new technologies, adopting new practices, or a combination of both. Often through first-hand accounts, these pieces explore what the challenges were, the tools and techniques that were used to combat them, and the solution that was achieved.

Why I Belong to ACM

Hear from Bryan Cantrill, vice president of engineering at Joyent, Ben Fried chief information officer at Google, and Theo Schlossnagle, OmniTI founder on why they are members of ACM.