[hpc-announce] CFP: Workshop on Large-Scale Parallel Processing

Kerbyson, Darren J Darren.Kerbyson at pnnl.gov
Tue Jan 8 06:51:21 CST 2013

[Please accept our apologies if you receive multiple copies]

Call for papers:      Workshop on LARGE-SCALE PARALLEL PROCESSING

               to be held in conjunction with
IEEE International Parallel and Distributed Processing Symposium
                        Boston, MA
                      May 24th, 2013

SUBMISSION DEADLINE:  January 6th  2013

Selected work presented at the workshop will be published in a 
special issue of Parallel Processing Letters in December 2013.

The workshop on Large-Scale Parallel Processing is a forum that 
focuses on computer systems that utilize thousands of processors 
and beyond. Large-scale systems, referred to by some as 
extreme-scale and Ultra-scale, have many important research 
aspects that need detailed examination in order for their 
effective design, deployment, and utilization to take place. 
These include handling the substantial increase in multi-core 
on a chip, the ensuing interconnection hierarchy, communication, 
and synchronization mechanisms. Increasingly this is becoming an 
issue of co-design involving performance, power and reliability 
aspects. The workshop aims to bring together researchers from 
different communities working on challenging problems in this 
area for a dynamic exchange of ideas. Work at early stages of 
development as well as work that has been demonstrated in 
practice is equally welcome.

Of particular interest are papers that identify and analyze novel
ideas rather than providing incremental advances in the following

- LARGE-SCALE SYSTEMS : exploiting parallelism at large-scale,
  the coordination of large numbers of processing elements,
  synchronization and communication at large-scale, programming
  models and productivity

- MULTI-CORE : utilization of increased parallelism on a single
  chip (MPP on a chip such as the Cell and GPUs), the possible
  integration of these into large-scale systems, and dealing with
  the resulting hierarchical connectivity.

  novel systems, the use of processors in memory (PIMS),
  parallelism in emerging technologies, future trends.

- ENERGY MANAGEMENT: Techniques, strategies, and experiences 
  relating to the energy management and optimization of 
  large-scale systems.

- WAREHOUSE COMPUTING: dealing with the issues in advanced 
  datacenters that are increasingly moving from co-locating many 
  servers to having a large number of servers working cohesively, 
  impact of both software and hardware designs and optimizations 
  to achieve best cost-performance efficiency. 

- APPLICATIONS : novel algorithmic and application methods,
  experiences in the design and use of applications that scale to
  large-scales, overcoming of limitations, performance analysis
  and insights gained.

Results of both theoretical and practical significance will be 
considered, as well as work that has demonstrated impact at 
small-scale that will also affect large-scale systems. Work may 
involve algorithms, languages, various types of models, or 


Papers should not exceed eight single-space pages (including 
figures, tables and references) using a 12-point font on 8.5x11
inch pages. Submissions in PostScript or PDF should be made 
using EDAS (www.edas.info). Informal enquiries can be made to 
Darren.Kerbyson at pnl.gov. Submissions will be judged on correctness,
originality, technical strength, significance, presentation
quality and appropriateness. Submitted papers should not have
appeared in or under consideration for another venue.


Submission deadline:         January   14th  2013
Notification of acceptance:  February  1st  2013
Camera-Ready Papers due:     February  8th  2013


Darren J. Kerbyson      Pacific Northwest National Laboratory
Ram Rajamony            IBM Austin Research Lab
Charles Weems           University of Massachusetts


Johnnie Baker           Kent State University
Alex Jones              University of Pittsburgh
H.J. Siegel             Colorado State University
Guangming Tan           ICT, Chinese Academy of Sciences
Lixin Zhang             ICT, Chinese Academy of Sciences


Pavan Balaji            Argonne National Laboratory, USA
Kevin J. Barker         Pacific Northwest National Laboratory
Laura Carrington        San Diego Supercomputer Center, USA
I-Hsin Chung            IBM T.J. Watson Research Lab, USA
Tim German              Los Alamos National Laboratory, USA
Georg Hager             University of Erlangen, Germany
Simon Hammond           Sandia National Laboratory, USA
Martin Herbordt         Boston University, USA
Stephen Jarvis          University of Warwick, USA
Daniel Katz             University of Chicago, USA
John Michalakes         National Renewable Energy Laboratory
Celso Mendes            University of Illinois Urbana-Champagne
Bernd Mohr              Forschungszentrum Juelich, Germany
Phil Roth               Oak Ridge National Laboratory, USA
Jose Sancho             Barcelona Supercomputer Center, USA
Gerhard Wellein         University of Erlangen, Germany
Pat Worley              Oak Ridge National Laboratory, USA
Ulrike Yang             Lawrence Livermore National Laboratory

Workshop Webpage: http://hpc.pnl.gov/conf/LSPP

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