ACM International Conference Proceedings Series Policy (ICPS)

Reviewed April 2018

 

The ACM International Conference Proceeding Series (ICPS) provides a mechanism to publish the contents of conferences, technical symposia and workshops and thereby increase their visibility among the international computing community. The goal of this program is to enable conferences and workshops to cost effectively produce proceedings which provide maximum dissemination of the material through electronic channels, specifically, the ACM Digital Library. 

Conferences that are not sponsored by an ACM SIG or another unit of ACM may publish their proceedings within ICPS.

Conferences that are in-cooperation with an ACM SIG must apply to ICPS in order to get published in the ACM Digital Library.

The ICPS Editorial Board reviews all applications to publish a volume in ACM's ICPS.

The ACM Author Rights and Publishing Policy will apply to the proceedings. The proceedings will appear in the ACM Digital Library.

For a full description and to apply see ACM's International Conference Proceedings Series.

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. 

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.
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