CnC-3: The Third Annual Concurrent Collections Workshop
Wednesday, September 7, 2011 at Colorado State University in Fort Collins
Important Dates
- Abstracts
- July 31, 2011
- Notification
- August 7, 2011
- Workshop
- September 7, 2011
CnC Events
- CnC'11 (3rd annual)
- CnC'10 (2nd)
- CnC'09 (1st)
Chairs
Local
- Chris Krieger
- Colorado State University
Co-organizers
- Kunal Agrawal
- Washington University in St. Louis
- Zoran Budimlić
- Rice University
- Michael Burke
- Rice University
- Kath Knobe
- Intel
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
There will be a $25 registration fee. Please register at the LCPC'11 website.
Location
The workshop will be held at the Lory Student Center on the CSU campus, in the Cherokee Park Ballroom (Room 236D, Upper Level).
Lory Student Center – See #68 on this map: http://map.colostate.edu/old/map-right.aspx#68
Agenda
The workshop agenda includes research and experience presentations, open group discussions, a panel session, and plenty of time will be left open for unstructured mixing, mingling, and networking.
- 8:00 – Continental breakfast available
- 8:15 – Chairs' Welcome
- 8:30 – Session 1: CnC Extensions
- Streaming CnC: An Optimized Implementation of Streaming Subgraphs in CnC — Dragoṣ Sbîrlea, Jun Shirako, Vivek Sarkar (Rice)
- A Proposal for a CnC Tuning Language — Kathleen Knobe (Intel), Michael Burke (Rice)
- Targeting and Tuning Distributed CnC — James Brodman (Intel)
- 10:00 – Break
- 10:30 – Session 2: Novel CnC Implementations
- CnC-Babel: a Multi-Language Implementation of the Concurrent Collections Model – Shams Imam, Vivek Sarkar (Rice), Adrian Prantl (LLNL)
- CnC-HC: A Programming Model for CPU-GPU Hybrid Parallelism – Alina Sbîrlea, Zoran Budimlić, Vivek Sarkar (Rice)
- Data-Driven Tasks as an Execution Model for Concurrent Collections – Sağnak Taṣirlar, Vivek Sarkar (Rice)
- 12:00 – Lunch (provided)
- 13:30 – Panel Discussion: Memory Management in CnC
- 14:30 – Session 3: Applications of CnC
- A CnC-driven Implementation of Medical Imaging Algorithms on Heterogeneous Processors – Zoran Budimlić, Alina Sbîirlea, Sağnak Taṣirlar, Vivek Sarkar (Rice), Yi Zou (UCLA)
- Implementing Task Graphs Using Concurrent Collections – Christopher Krieger, Michelle Strout (Colorado State)
- 15:30 – Break
- 16:00 – Session 4: Applications of CnC – Continued
- Dreamworks Animation and CnC #1 – Martin Watt (Dreamworks)
- Optimizing CnC's Evaluation of DWA's Dependency Graphs – Mark Hampton (Intel)
- 17:00 – End of program
Co-located with LCPC'11.
Background on CnC
CnC is a parallel programming model for mainstream programmers that differs from other approaches in its philosophy. A CnC programmer doesn't specify parallel operations; instead, he/she only specifies semantic ordering constraints. This provides a separation of concerns between the domain expert and the tuning expert, simplifying the job of the domain expert while providing more flexibility to the tuning expert. Details on CnC and related research can be found at:http://intel.ly/concurrent-collectionsPrior 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.
and
http://habanero.rice.edu/cnc
Sponsored by
Need more information?
If you have any questions about logistics or participation, please contact the workshop chairs at cnc11@hpcgarage.org.
Last updated: August 15, 2011