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CnC 2017: The Ninth Annual Concurrent Collections Workshop

October 13–14, 2017 at Texas A&M (College Station, TX)
Co-located with LCPC'17


Important Dates

Deadlines extended
Abstracts
September 17, 2017
Notification
September 22, 2017
Workshop
October 13–14, 2017

Chairs

Zoran Budimlić
Rice University
Nick Vrvilo
Two Sigma

Steering committee

Kath Knobe
Rice University
Louis-Noel Pouchet
Colorado State University
Vivek Sarkar
Georgia Institute of Technology
Alina Sbîrlea
Google Inc.
Frank Schlimbach
Intel Corp.

Past Workshops

CnC'16 (8th annual)
CnC'15 (7th annual)
CnC'14 (6th annual)
CnC'13 (5th annual)
CnC'12 (4th annual)
Earlier workshops
The annual Concurrent Collections (CnC) workshop is as a forum for researchers and developers of parallel programs to interact on a variety of issues related to next-generation parallel programming models. The focus is on fostering a community around the CnC programming model; however, we also strongly encourage participation by anyone with an interest programming models inspired by dataflow and/or tuple space ideas as well as current or emerging applications of such models.

Participation and call for abstracts

The workshop agenda includes a CnC tutorial on current and future trends and talks selected from contributed abstracts. Topics of interest include, but are not limited to: language design and implementation, semantics and theory, application experiences, and teaching CnC.

If you are interested in giving a talk, please submit a short abstract (between 200–500 words in length) to the workshop chairs at cnc.workshop.committee@gmail.com no later than Sunday September 17, 2017. Please include:

  • Name
  • Affiliation
  • Abstract of the work to be presented (please limit to 1 page maximum)

Location

The workshop will be held on campus at Texas A&M University, located in College Station, Texas.

Hotel Information

TBA

Background on CnC

CnC is a parallel programming model for mainstream programmers that philosophically differs from other approaches. CnC programmers do not specify parallel operations. Instead, they only specify semantic ordering constraints. This provides a separation of concerns between the domain expert and tuning expert, simplifying the domain expert’s job while providing more flexibility to the tuning expert. Details on CnC and related research can be found at:
https://icnc.github.io
      and
https://habanero.rice.edu/cnc
Prior workshops have served as a forum for users and potential users of Concurrent Collections (CnC), to discuss experiences with CnC and a range of topics, including developments for the language, applications, usability, performance, semantics, and teaching of CnC.

Need more information?

If you have any questions about logistics or participation, please contact the workshop chairs at cnc.workshop.committee@gmail.com.

CnC Workshop Sponsors


Last updated: September 11, 2017

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