October 26, 2009 SGB Meeting


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


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

October 26, 2009 Agenda



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

SIG Leaders Orientation Agenda

  • SIG Leaders Orientation Agenda


  • 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.