What is ACM?
ACM hosts the computing industry's leading , and serves its global members and the computing profession with journals and magazines, conferences, workshops, electronic forums, and .
Facts about ACM and Its MembershipACM Fact Sheet
AwardsThe , presented yearly by ACM, is regarded as the "Nobel Prize of computing." View the list of Turing and and .
Policies and ProceduresRead ACM's Code of Ethics, Constitution and Bylaws, and other policy documents for the computing profession. ACM also has a Public Policy Office in Washington dealing with US governmental and legislative issues.
Elections for ACM OfficersNominating Policies and Procedures (.doc)
SIGsACM's Special Interest Groups are technical communities representing virtually every major area of computing.
ChaptersHundreds of ACM Professional and Student Chapters provide opportunities for networking on a local level.
Joint Society Member DiscountsOther societies with whom ACM has reciprocal membership agreements.
Affiliated OrganizationsOther with which ACM cooperates to advance the computing field.
ACM and IEEE-CS Cooperative Activities
HistoryACM was established in 1947 with the creation of the first stored-program digital computer. More ACM history and background... Visit the pages for more information.
ACM Computing Classification SystemACM's own taxonomy of the computing field.
Annual ReportsAnnual Reports of ACM and its Boards, Committees, and Organizations.
ContactHeadquarters' Location and General Contact Information
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.
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.