ACM SGB Meeting Materials Agenda, February 10, 2006

SIG Governing Board
Friday, February 10th, 2006
8:00 am - 4:00 pm

8:00 am – 8:30 am     Continental Breakfast
8:30 am – 8:45am 1.0   Welcome
  1.1   Welcome, Introductions and Voting Review (R.Walker, Konstan)
8:45 am – 8:50 am 1.2   Welcome and Comments from the ACM President (Patterson)
8:50 am – 9:20 am 2.0   Report from the CEO (White)
9:20 am – 9:40 am 3.0   CSTA Update (Stephenson)
9:40 am – 10:25 am 4.0   SIG Program Reviews
  4.1   SIGAPL
  4.2   SIGACT
  4.3   SIGAda
10:25 am – 10:45     Break
10:45 am – 11:05 am 5.0   Health of Conferences Committee Update (Hill)
11:05 am – 11:45 am 6.0   Best Practices Session
  6.1   Davidson (5 min)
  6.2   Griswold (5 min)
  6.3   Konstan (5 min)
  6.4   All Chairs (remainder)
11:45 am – 12:00 noon 7.0   Governance Update
  7.1   Council Update (Walker)
  7.2   SGB EC Update (Konstan)
12:00 noon- 1:00 pm     Lunch
1:00 pm – 1:20 pm 8.0   DLP Report (Annie Archbold
1:20 pm – 1:50 pm     SIG Program Reviews Continued
  4.4   SIGCAS
  4.5   SIGGRAPH
1:50 pm - 2:05 pm     Break
2:05 pm – 3:20 pm 9.0   Board Reports
  9.1   Publications Board Report (Irwin) 30 minutes
  9.2   Professions Board Report (Bourne) 15 minutes
  9.3   Membership Board Report (Coatta) 15 minutes
  9.4   Education Board (Roberts) 15 minutes
3:20 pm – 3:50 pm     SIG Program Reviews Continued
  4.4   SIGDA
  4.5   SIGCSE
3:50 pm - 4:00 pm 10.0   SGB EC Election Update (Berenbaum)
4:00 pm     Adjourn

Why I Belong to ACM

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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.

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.