posted by user: cavazos || 4509 views || tracked by 11 users: [display]

DFM 2011 : First Workshop on Data-Flow Execution Models for Extreme Scale Computing


When Oct 10, 2011 - Oct 10, 2011
Where Galveston, TX
Abstract Registration Due Aug 1, 2011
Submission Deadline Aug 15, 2011
Notification Due Sep 5, 2011
Final Version Due Oct 1, 2011
Categories    data flow   execution models   parallel programming   multicores

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.

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

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

Related Resources

DFM 2022   International Workshop on Data-Flow Models for extreme-scale computing
MLDM 2023   18th International Conference on Machine Learning and Data Mining
SI PMABD 2023   Special Issue on Programming Models and Algorithms for Big Data
XLOOP 2022   4th Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing
REX-IO 2022   2nd Workshop on Re-envisioning Extreme-Scale I/O for Emerging Hybrid HPC Workloads @ IEEE Cluster 2022
SDM 2023   SDM 2023 : SIAM International Conference on Data Mining
CoMSE 2023   2023 International Conference on Materials Science and Engineering (CoMSE 2023)
SoCAV 2023   2023 International Symposium on Connected and Autonomous Vehicles (SoCAV 2023)
MLDM 2023   19th International Conference on Machine Learning and Data Mining
MODELS 2022   MODELS 2022 : ACM/IEEE 25th International Conference on Model Driven Engineering Languages and Systems