[hpc-announce] [Deadline extension] Call for papers: Dataflow Models for Extreme Scale Computing (DFM 2014)

Stephane Zuckerman szuckerm at udel.edu
Thu Jun 19 05:22:12 CDT 2014

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        to be held in conjunction with PACT 2014

        August 24, 2014, Edmonton, Alberta, Canada

Important Dates:
Submission Deadline (extended): June 30th
Notification of Authors:                July 12th
Camera Ready:                          July 20th

The Fourth International workshop on "Data-Flow Models (DFM) for extreme
scale computing"  will be held in conjunction with PACT 2014 in Edmonton,
Alberta, Canada in August 2014.

The purpose of DFM continues being to bring together those researchers
interested in novel computational models based on Data-Flow principles of
execution. The switch to multi-core systems has raised concurrency to the
level of a major issue if we are to use the increasing number of cores in a

In the past five decades, sequential computing dominated the computer
architecture landscape because designers were successful at building faster
and faster computers by solely relying on improvements on fabrication
technologies and architectural/organization optimizations. The most severe
limitation of the sequential model, namely its inability to tolerate long
memory latencies has slowed down the performance gains. This phenomenon is
the ubiquitous Memory Wall. While various mechanisms have been implemented
to overcome the wall (such as extremely efficient hardware prefetch support
for example), they only add to another wall that hampers highly efficient
execution of programs and modern chip design: the Power Wall. Power
considerations and heat dissipation issues have forced manufacturers 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 tolerate memory and synchronization latencies.
Data-Flow inspired systems could also be simpler and more power efficient
than conventional systems.

Recent work has shown that the Data-Flow principles can be used to develop
systems that can outperform systems based on conventional techniques. Thus,
it is time to revisit Data-driven computation and bring it to the
Multi-core and extreme scale computing.

DFM 2014 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.
- Position Papers on the Future of Data-Flow in the Multi-core era and

DFM 2014 will accept both Full (8 pages) and Short papers (4 pages). Papers
should be prepared using the IEEE Proceedings format, Submit your paper via

All accepted papers will appear in the IEEE Xplore Digital Library.
Extended versions of the best papers will be invited to submit for special
issue of IJPP (International Journal on Parallel Programming).

STEERING Committee:
Skevos Evripidou , University of Cyprus
Guang Gao, University of Delaware
Jean-Luc Gaudiot, Univ. of California at Irvine
Vivek Sarkar, Rice University
Ian Watson, University of Manchester
Kei Hiraki, University of Tokyo

Giorgos Matheou, University of Cyprus
Stephane Zuckerman, Univ. of Delaware

Skevos Evripidou, University of Cyprus
Guang Gao, University of Delaware
Jean-Luc Gaudiot, Univ. of California at Irvine
Vivek Sarkar, Rice University
Ian Watson, University of Manchester
Kei Hiraki, University of Tokyo
David Abramson, Monash University
Costas Kyriacou, Frederic University
Pedro Trancoso, University of Cyprus
Kyriacos Stavrou, Intel Labs Barcelona, SP
John Feo, Pacific Northwest National Laboratory
Bob Iannucci, CMU, Silicon Valley, USA
Wallid Najjar, University of California, Riverside
Wolfgang Karl,  KIT,  Germany
Mark Oskin, University of Washington
Andrew Sohn, NJIT, USA
Reiner Hartenstein, TU  Kaiserslautern
Kemal Ebcioglu, Global Supercomputing Corp.
Kevin Hammond, University of St Andrews
Roberto Giorgi, University of Sienna
Robert Clay, Sandia National Labs
Sven-Bodo Scholz, Heriot-Watt University
Stephane Zuckerman, Univ. of Delaware

Costas Kyriacou, Frederic University Cyprus
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