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CnC 2020: The Twelfth Annual Concurrent Collections Workshop

DUE TO THE COVID-19 PANDEMIC, THE WORKSHOP HAS BEEN CANCELLED.


Important Dates

Workshop
Cancelled due to the pandemic

Chairs

George Bosilca
University of Tennessee, Knoxville
Mohammad Mahdi Javanmard
Facebook

Steering committee

Zoran Budimlić
Rice University
P. Sadayappan
University of Utah
Kath Knobe
Rice University
Louis-Noel Pouchet
Colorado State University
Frank Schlimbach
Intel Corp.

Past Workshops

CnC'19 (11th annual)
CnC'18 (10th annual)
CnC'17 (9th annual)
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 will include tutorials on CnC, and technical talks selected from contributed abstracts. Topics of interest include, but are not limited to: different aspects of dataflow programming models and task-based runtime systems, including language design and implementation, semantics and theory, and application experiences. If you are interested in giving a talk, please submit your abstract (2 pages excluding the references) via the online submission form.

Submissions

Submission is closed!

Registration

There is no registration fee for workshop attendance (presenters and attendees).

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 bosilca@icl.utk.edu and mjavanmard@cs.stonybrook.edu.

CnC Workshop Sponsors


Last updated: September 5, 2020