[hpc-announce] 6th International Workshop on Data Flow Models for Extreme Scale Computing (DFM 2016)

Stéphane Zuckerman szuckerm at udel.edu
Sun Jun 5 21:45:34 CDT 2016

                         Sixth International Workshop on
             Data Flow Models for Extreme-Scale Computing (DFM 2016)
                           September 15, Haifa, Israel

The International workshop on "Data-Flow Models (DFM) for extreme scale 
computing" was held in six consecutive years in conjunction with the 
PACT conference. 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 chip.
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 2016 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 
- All accepted papers will appear in the Computer Society Digital Library

Submission date:      July 24, 2016
Authors notification:   August 28, 2016

DFM 2015 will accept both Full (8 pages) and Short papers (4 pages). 
Papers should be prepared using the IEEE Proceedings format; Short 
Papers could be submitted in the form of extended abstracts. All 
accepted papers will appear in the Computer Society Digital Library. 
Submission site https://easychair.org/conferences/?conf=dfm2015

Stéphane Zuckerman Co-chair, Univ. of Delaware
Skevos Evripidou Co-chair, 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
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, Karlsruhe Institute of Technology
Mark Oskin, University of Washington
Andrew Sohn, NJIT, USA
Reiner Hartenstein, TU Kaiserslautern
Kemal Ebcioğlu, ,Global Supercomputing Corp.Sienna
Kevin Hammond, University of St Andrews
Roberto Giorgi, University of Sienna
Robert Clay, Sandia National Labs
Sven-Bodo Scholz, Heriot-Watt University
Krisha Kavi, Univerity Of North Texas
Yong Meng Teo, National Univ. of Singapore

Skevos Evripidou, University of Cyprus
Guang Gao, University of Delaware
Jean-Luc Gaudiot, University of California at Irvine
Ian Watson, University of Manchester
Kei Hiraki, University of Tokyo

Giorgos Matheou, University of Cyprus

Costas Kyriacou, Frederic University Cyprus

Stéphane Zuckerman
Computer Architecture & Parallel Systems Laboratory
University of Delaware ­— 201G Evans Hall, Newark, DE
Work #: +1 302 831-6534  Cell #: +1 302 883-9979

-------------- next part --------------
A non-text attachment was scrubbed...
Name: CFP_DFM_2016.pdf
Type: application/pdf
Size: 47265 bytes
Desc: not available
URL: <https://lists.mcs.anl.gov/mailman/private/hpc-announce/attachments/20160605/f99fd4fc/attachment-0001.pdf>

More information about the hpc-announce mailing list