[hpc-announce] CFP: First Workshop on Data-Flow Execution Models for Extreme Scale Computing (DFM 2011)

Pedro Trancoso pedro at cs.ucy.ac.cy
Thu Jul 14 10:37:04 CDT 2011

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                           CALL FOR PAPERS
       First Workshop on Data-Flow Execution Models for Extreme
                     Scale Computing (DFM 2011)
                    in conjunction with PACT 2011

            Galveston Island, Texas, USA, October 10, 2011,
                     Submission: August 15, 2011

The purpose of DFM is to bring together researchers that are interested
into novel computational model based on the Data-Flow principles of
The switch to multi-core systems has elevated concurrency as a major
issue in utilizing the ever increasing number of cores in a chip.
Sequential computing has dominated the computer architecture landscape
for five decades. Designers were able to design and build faster and faster
computers by relying on improvements on fabrication technologies and
architectural/organization optimizations. The most severe limitation of
the sequential model, namely its inability to tolerate long latencies has
slowed down the performance gains, forcing the industry to hit the
Memory Wall and to switch to multiple cores per chip and thus move
into the concurrency era. New concurrent models/paradigms are needed
in order to fully utilize the potential of Multi-core chips.
The Data-flow model is a formal model that can handle concurrency and
it can tolerate memory and synchronization latencies. Data-Flow inspired
systems could also be simpler and more power efficient than conventional
Recent work on Data-flow inspired systems has shown that the Data-Flow
principles can be used to develop data-driven systems that can perform
as good and in some cases outperform systems that are based on
conventional techniques, running on commercial Multi-core systems. Thus,
it is time to revisit Data-driven computation and bring it to the 
and extreme scale computing.

DFM solicits novel papers that include but are not limited to:
  * Novel Data-Flow inspired Execution models and architectures
  * Functional and Single assignment based Languages.
  * Strict and non-strict execution models.
  * Compilers and tools for Data-Flow/Data-Driven systems.
  * Hybrid Data-driven/Control-Driven systems.
  * Survey papers on Data-Flow/Data-Driven systems.
  * Position Papers on the Future of Data-Flow in the Multi-core era and

Extended Versions of the best papers will be published in a special issue
of the IJPP.

Organizing Committee
Skevos Evripidou, University of Cyprus
Guang Gao, University of Delaware
Jean-Luc Gaudiot, University of California at Irvine
Vivek Sarkar, Rice University
Ian Watson, University of Manchester
Kei Hiraki, University of Tokyo
David Abramson, Monash University
Pedro Trancoso, University of Cyprus (Publicity Chair)

Submission Information
Full papers should be prepared using the ACM SIG Proceedings format,
and should be no longer than 8 pages.
Short Papers should be submitted in the form of extended abstracts
(up to 4 pages).

Important Dates
Submission deadline: Aug 15
Notification of Authors: Sept 5

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