ACM SGB Meeting Materials, March 27, 2009
March 27, 2009 SGB Meeting
- SIGSAM Program Review March 2009
- SIGSAM Slides March 2009
- SIGMICRO Program Review March 2009
- SIGMICRO Slides March 2009
- SIGSOFT Program Review March 2009
- SIGMM Program Review March 2009
- SIGMM Slides March 2009
- SIGSIM Program Review March 2009
- SIGSAC Program Review March 2009
- SIGSAC Slides March 2009
- SIGMOD Program Review March 2009
- SIGSIM Slides March 2009
- History Committee Presentation March 2009
- SIGSOFT Slides March 2009
- SIGMOD Slides March 2009
- March 2009 SGB Meeting Minutes
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.
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.