Timeline for Action

When planning an event, it is very important to note when action needs to take place on certain tasks in order to complete milestones in a timely manner.  ACM has created a “Timeline for Action” as a reference guide for conference leaders.    Using this timeline as a guide throughout the planning process will help organizers have a smooth planning experience, and avoid a last minute rush for contracts, payments, orders and registration. 

 
18 Months
  • Appoint committee members
  • Submit PAF 
14 Months
  • Work with ACM site selection on venue/hotel contracting
  • Submittal/Approval of TMRF
  • Create Website
12 Months
  • Finalize Venue/Hotel Contract
  • Schedule Tutorials and Exhibits
10 Months Prior
  • Distribute Call for Papers
9 Months Prior
  • Solicit for Corporate Support    
  • Request access to view conference bank account from Conference Operations Liaison 
6 Months Prior
  • Accept Papers/Notify Authors
  • Submit Session/Function Schedule to Hotel
5 Months Prior
  • Distribute Advanced Program
4 Months Prior
  • Open Registration
  • Authors complete e-right forms and provide papers
3 Months Prior
  • F&B, AV needs determined and submitted to hotel
  • Select Social Events and secure contracts
  • Submit program ad to ACM publications (CACM, MemberNet, etc)
2 Months Prior
  • Prepare Proceedings
  • Prepare Plaques and Certificates
1 Month Prior
  • Prepare Final Program
1 Week Prior
  • Prepare Badges
  • Submit Final Guarantee numbers to hotels and functions
  • Final Program and Proceedings ready
1 Month After
  • Submit remaining bills/reimbursements to ACM for payment
  • Finalize outstanding corporate support payments
No Later Than 120 Days After
  • Prepare Final Financial Report with ACM Closing Coordinator
 

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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.