Difference between revisions of "ICPP 2009"

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{{Event
 
{{Event
 +
|Acronym=ICPP 2009
 +
|Title=The 38th International Conference on Parallel Processing
 +
|Type=Conference
 
|Field=Parallel Processing
 
|Field=Parallel Processing
 +
|Series=ICPP
 +
|Homepage=web.cse.ohio-state.edu/~icpp2009/
 +
|Start date=22/09/2009
 +
|End date=25/09/2009
 +
|City=Vienna
 +
|State=
 +
|Country=Austria
 
|Abstract deadline=
 
|Abstract deadline=
 
|Submission deadline=Feb 20, 2009
 
|Submission deadline=Feb 20, 2009
 
|Notification=May 19, 2009
 
|Notification=May 19, 2009
 
|Camera ready=Jun 28, 2009
 
|Camera ready=Jun 28, 2009
|Acronym=ICPP 2009
+
|Submitted papers=220
|End date=2009/09/25
 
|Series=ICPP
 
|Type =Conference
 
|Country=AT
 
|State=AT/9
 
|City =AT/9/Vienna
 
|Homepage=web.cse.ohio-state.edu/~icpp2009/
 
|Start date=2009/09/22
 
|Title=The 38th International Conference on Parallel Processing
 
 
|Accepted papers=71
 
|Accepted papers=71
|Submitted papers=220
 
 
}}
 
}}
 
The 38th International Conference on Parallel Processing (ICPP'09)
 
The 38th International Conference on Parallel Processing (ICPP'09)

Revision as of 16:31, 3 November 2021


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List of all ratings can be found at ICPP 2009/rating

ICPP 2009
The 38th International Conference on Parallel Processing
Event in series ICPP
Dates 22/09/2009 (iCal) - 25/09/2009
Homepage: web.cse.ohio-state.edu/~icpp2009/
Location
Location: Vienna, Austria
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Important dates
Submissions: Feb 20, 2009
Notification: May 19, 2009
Camera ready due: Jun 28, 2009
Papers: Submitted 220 / Accepted 71 (32.3 %)
Table of Contents

The 38th International Conference on Parallel Processing (ICPP'09) Program Committee would like to invite your submission to the refereed papers. The full paper submission deadline is Feburary 20, 2009.

The International Conference on Parallel Processing provides a forum for engineers and scientists in academia, industry and government to present their latest research findings in any aspects of distributed and parallel computing. Topics of interest include, but are not limited to:

  • Architecture: from multi-core to supercomputers
  • Cluster/Grid/Cloud Computing: from parallel to globally distributed

systems

  • Programming Models, Languages, and Compilers: from high-level

abstractions to efficient code

  • Resource Management and Scheduling: from local to global environments
  • Algorithms and Applications: from emerging to future
  • Wireless/Sensor Networks and Pervasive Computing: from fixed location

to everywhere

  • Performance Evaluation and Simulation: from simple to complex systems
  • Information Retrieval and Knowledge Discovery: from bits to impact
  • Peer-to-Peer and Service-Oriented Architectures: from virtual to

adaptive

  • Data Center and Data Management: from efficiency to green computing

For more information and submission guidelines, please see http://www.cse.ohio-state.edu/~icpp2009.


Important Dates:

  • Paper Submission Deadline: February 20, 2009
  • Author Notification: May 19, 2009
  • Final Manuscript Due: June 28, 2009


Organizing Committee:

  • General Co-Chairs:
    • A Min Tjoa, Vienna Univ. of Tech., Austria
    • Makoto Takizawa, Seikei Univ., Japan
  • Program Co-Chairs:
    • Sigi Benkner, Univ. of Vienna, Austria
    • David Du, Univ. of Minnesota / NSF, USA
  • Vice Chairs:
    • Architecture: Alex Ramirez, Barcelona SC Center, Spain
    • Cluster/Grid/Cloud Computing: James French, Univ. of Virginia /NSF, USA
    • Programming Models, Languages and Compilers: Vivek Sarkar, Rice Univ., USA
    • Resource Management and Scheduling: Raj Buyya, Melbourne Univ. / Manjrasoft, Australia
    • Algorithms and Applications: Almadena Chtchelkanova, NSF, USA
    • Wireless/Sensor Networks and Pervasive Computing: Xiuzhen Chen, George Washington Univ., USA
    • Performance Evaluation and Simulation: Felix Wolf, Julich SC Centre, Germany
    • Information Retrieval and Knowledge Discovery: Alok Choudhary, Northwestern Univ., USA
    • Peer-to-Peer and Service-Oriented Architectures: Kwei-Jay Lin, Univ. of California, Irvine, USA
    • Data Center and Data Management: Krishna Kant, Intel / NSF, USA