DFM 2011 : First Workshop on Data-Flow Execution Models for Extreme Scale Computing
Call For Papers
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 execution.
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 systems.
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 Multi-core 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 beyond.
Extended Versions of the best papers will be published in a special issue of the IJPP.
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
Submission deadline: Aug 15
Notification of Authors: Sept 5