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CF '16: Proceedings of the ACM International Conference on Computing Frontiers
ACM2016 Proceeding
  • General Chairs:
  • Gianluca Palermo,
  • John Feo,
  • Program Chairs:
  • Antonino Tumeo,
  • Hubertus Franke
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
CF'16: Computing Frontiers Conference Como Italy May 16 - 19, 2016
ISBN:
978-1-4503-4128-8
Published:
16 May 2016
Sponsors:
Micron Foundation, ACM, Politecnico di Milano, SIGMICRO, IBM
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Abstract

We are at the verge of many revolutions in computing. Fitness devices, biological sensors, and simply the desire and convenience of more accurate monitoring and availability of information are driving towards a world where wearables and interconnected devices are ubiquitous. The exponential growth in the availability of data requires new systems comprised of architectures and software stacks purposely designed to organize and process web-scale datasets quickly and effectively. Power efficiency is an even stricter constraint in a world where Dennard's scaling has long ended, Moore's law is faltering, and the research community is exploring alternatives for a Post-CMOS world. Since its creation, Computing Frontiers has focused on exploring the boundaries between the state-of-the- art and revolutionary innovations in technology. These are the frontiers that the conference aims to push forward to advance science, engineering, and information technology, and to spur breakthroughs.

We believe that more than ever this year's technical program exhibits Computing Frontiers' spirit with an excellent mix of works that pushes forward the state-of-the-art of established fields of research for computer systems, and forward looking approaches in emerging and radically new areas. As usual, Computing Frontiers' technical program maintains its unique perspective of highlighting the profound impacts of computing technology on society.

Contributors
  • Politecnico di Milano
  • Pacific Northwest National Laboratory
  • Pacific Northwest National Laboratory
  • IBM Research
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Acceptance Rates

Overall Acceptance Rate 24 of 66 submissions, 36%
YearSubmittedAcceptedRate
CF '23662436%
Overall662436%