ACM SGB Meeting Materials Agenda, October 16, 2014

SIG Governing Board

Thursday, October 16, 2014

8:30 am - 4:00 pm

Chicago, Hilton O'Hare

Meeting Room: International West & Center

Lunch: International East

8:30 am - 9:00 am
Continental Breakfast
9:00 am - 9:05 am
1.0 Welcome, Introductions (Madden, McCauley)
9:05 am - 9:15 am
Welcome from ACM President (Wolf)
9:15 am - 10:00 am
2.0 Report from ACM CEO report (White)
10:00 am - 10:30 am
3.0 Report on CRA CCC report (Mynatt)
10:30 am - 10:45 am
10:45 am - 12:00 pm
4.0 Publications
4.1 Report from Publications Advisor (Ioannidis - 35 min)
4.1.1 New Publication Suggestion (Harper - 10 min)
4.2 Report from Publications Board Chair (Konstan - 30 min)
12:00 pm - 1:00 pm
Lunch (Held in International East)
1:00 pm - 2:00 pm
5.0 Viability Reviews 
5.1 SIGARCH SlidesViabilityReach
5.2 SIGBED SlidesViabilityReach
5.3 SIGMETRICS SlidesViabilityReach
2:00 pm - 2:15 pm
6.0 Report from CSTA Report (Clayborn)
2:15 pm - 2:30 pm
2:30 pm - 3:00 pm
7.0 SGB EC Administrative Reports
7.1 SGB EC Update (Madden)
7.2 Taskforce on Policies towards retirees Report (Banzhaf)
3:00 pm - 4:00 pm
8.0 Best Practices Session: Practitioner Activities

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.

Publish with ACM

ACM's prestigious conferences and journals are seeking top-quality papers in all areas of computing and IT. It is now easier than ever to find the most appropriate venue for your research and publish with ACM.

Publish your work

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.