WEB TOOLS FOR ACM CHAPTERS

Chapter Website Hosting

Chapter officers are now able to set up their chapter web site on the ACM servers and publicize it through the URL http://your_chapter_name.acm.org. To take advantage of this service, Chapter officers should complete this form.

The chapter server account will allow officers to load files through SFTP (Secure FTP over SSH) to set up and maintain their chapter web pages. Technologies available to Chapters include PHP, MySQL, Tomcat, and Perl. ACM will consider loading any open source software that chapters may need to develop and maintain their web pages. Chapter officers should submit their requests to the  ACM IS Department.

WIKI and Blogs

ACM offers two Wiki engines: 

  • MediaWiki, the software of Wikipedia
  • MoinMoin, an advanced, easy to use, extensible WikiEngine

Chapter officers will be able to start a wiki for their Chapter to carry out activities that require collaborative writing, document sharing, and website management.

ACM also offers the  Movabletype publishing platform for Chapter officers and members to use in setting up blogs relevant to their Chapter activities and interests.

To request WIKI/Blog for your chapter, please  complete this form.

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.

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.

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.