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[Condor-users] CFP: 4th Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS) 2011 -- co-located with IEEE/ACM Supercomputing 2011

4th Workshop on Many-Task Computing on Grids and Supercomputers (MTAGS) 2011

http://datasys.cs.iit.edu/events/MTAGS11/index.html

Co-located with Supercomputing/SC 2011
Seattle Washington -- November 14th, 2011

News

Overview

The 4th workshop on Many-Task Computing on Grids and Supercomputers (MTAGS) will provide the scientific community a dedicated forum for presenting new research, development, and deployment efforts of large-scale many-task computing (MTC) applications on large scale clusters, Grids, Supercomputers, and Cloud Computing infrastructure. MTC, the theme of the workshop encompasses loosely coupled applications, which are generally composed of many tasks (both independent and dependent tasks) to achieve some larger application goal.  This workshop will cover challenges that can hamper efficiency and utilization in running applications on large-scale systems, such as local resource manager scalability and granularity, efficient utilization of raw hardware, parallel file system contention and scalability, data management, I/O management, reliability at scale, and application scalability. We welcome paper submissions on all topics related to MTC on large scale systems.  Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library (pending approval). The workshop will be co-located with the IEEE/ACM Supercomputing 2011 Conference in Seattle Washington on November 14th, 2011.

For more information, please see http://datasys.cs.iit.edu/events/MTAGS11/. For more information on past workshops, please see MTAGS10, MTAGS09, and MTAGS08. We also ran a Special Issue on Many-Task Computing in the IEEE Transactions on Parallel and Distributed Systems (TPDS) which has appeared in June 2011; the proceedings can be found online at http://www.computer.org/portal/web/csdl/abs/trans/td/2011/06/ttd201106toc.htm. We, the workshop organizers, also published two papers that are highly relevant to this workshop. One paper is titled "Toward Loosely Coupled Programming on Petascale Systems", and was published in SC08; the second paper is titled “Many-Task Computing for Grids and Supercomputers”, which was published in MTAGS08. 

Topics

We invite the submission of original work that is related to the topics below. The papers can be either short (5 pages) position papers, or long (10 pages) research papers. Topics of interest include (in the context of Many-Task Computing):

  •  Compute Resource Management
    • Scheduling
    • Job execution frameworks
    • Local resource manager extensions
    • Performance evaluation of resource managers in use on large scale systems
    • Dynamic resource provisioning
    • Techniques to manage many-core resources and/or GPUs
    • Challenges and opportunities in running many-task workloads on HPC systems
    • Challenges and opportunities in running many-task workloads on Cloud Computing infrastructure
  •  Storage architectures and implementations
    • Distributed file systems
    • Parallel file systems
    • Distributed meta-data management
    • Content distribution systems for large data
    • Data caching frameworks and techniques
    • Data management within and across data centers
    • Data-aware scheduling
    • Data-intensive computing applications
    • Eventual-consistency storage usage and management
  •  Programming models and tools
    • Map-reduce and its generalizations
    • Many-task computing middleware and applications
    • Parallel programming frameworks
    • Ensemble MPI techniques and frameworks
    • Service-oriented science applications
  •  Large-Scale Workflow Systems
    • Workflow system performance and scalability analysis
    • Scalability of workflow systems
    • Workflow infrastructure and e-Science middleware
    • Programming Paradigms and Models
  •  Large-Scale Many-Task Applications
    • High-throughput computing (HTC) applications
    • Data-intensive applications
    • Quasi-supercomputing applications, deployments, and experiences
    • Performance Evaluation
  •  Performance evaluation
    • Real systems
    • Simulations
    • Reliability of large systems

Important Dates

  • Abstract submission: September 2, 2011
  • Paper submission: September 9, 2011
  • Acceptance notification: October 7, 2011
  • Final papers due: October 28, 2011

Paper Submission

Authors are invited to submit papers with unpublished, original work of not more than 10 pages of double column text using single spaced 10 point size on 8.5 x 11 inch pages, as per ACM 8.5 x 11 manuscript guidelines (http://www.acm.org/publications/instructions_for_proceedings_volumes); document templates can be found at http://www.acm.org/sigs/publications/proceedings-templates. We are also seeking position papers of no more than 5 pages in length. A 250 word abstract (PDF format) must be submitted online at https://cmt.research.microsoft.com/MTAGS2011/ before the deadline of September 2nd, 2011 at 11:59PM PST; the final 5/10 page papers in PDF format will be due on September 9th, 2011 at 11:59PM PST. Papers will be peer-reviewed, and accepted papers will be published in the workshop proceedings as part of the ACM digital library (pending approval). Notifications of the paper decisions will be sent out by October 7th, 2011. Selected excellent work may be eligible for additional post-conference publication as journal articles or book chapters, such as the previous Special Issue on Many-Task Computing in the IEEE Transactions on Parallel and Distributed Systems (TPDS) which has appeared in June 2011. Submission implies the willingness of at least one of the authors to register and present the paper. For more information, please http://datasys.cs.iit.edu/events/MTAGS11/, or send email to mtags11-chairs@xxxxxxxxxxxxxxxxxx.   

Organization

General Chairs (mtags11-chairs@xxxxxxxxxxxxxxxxxx)

  • Ioan Raicu, Illinois Institute of Technology & Argonne National Laboratory, USA
  • Ian Foster, University of Chicago & Argonne National Laboratory, USA
  • Yong Zhao, University of Electronic Science and Technology of China, China

Steering Committee

  • David Abramson, Monash University, Australia
  • Jack Dongara, University of Tennessee, USA
  • Geoffrey Fox, Indiana University, USA
  • Manish Parashar, Rutgers University, USA
  • Marc Snir, University of Illinois at Urbana Champaign, USA
  • Xian-He Sun, Illinois Institute of Technology, USA
  • Weimin Zheng, Tsinghua University, China

Program Committee

  • Roger Barga, Microsoft Research, USA
  • Mihai Budiu, Microsoft Research, USA
  • Rajkumar Buyya, University of Melbourne, Australia
  • Catalin Dumitrescu, Fermi National Labs, USA
  • Alexandru Iosup, Delft University of Technology, Netherlands
  • Florin Isaila, Universidad Carlos III de Madrid, Spain
  • Kamil Iskra, Argonne National Laboratory, USA
  • Hui Jin, Illinois Institute of Technology, USA
  • Daniel S. Katz, University of Chicago, USA
  • Tevfik Kosar, Louisiana State University, USA
  • Zhiling Lan, Illinois Institute of Technology, USA
  • Reagan Moore, University of North Carolina, Chappel Hill, USA
  • Jose Moreira, IBM Research, USA
  • Marlon Pierce, Indiana University, USA
  • Judy Qiu, Indiana University, USA
  • Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory, USA
  • Matei Ripeanu, University of British Columbia, Canada
  • Alain Roy, University of Wisconsin, Madison, USA
  • Edward Walker, Texas Advanced Computing Center, USA
  • Mike Wilde, University of Chicago & Argonne National Laboratory, USA
  • Matthew Woitaszek, The University Corporation for Atmospheric Research, USA
  • Ken Yocum, University of California at San Diego, USA 
-- 
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Ioan Raicu, Ph.D.
Assistant Professor, Illinois Institute of Technology (IIT)
Guest Research Faculty, Argonne National Laboratory (ANL)
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Data-Intensive Distributed Systems Laboratory, CS/IIT
Distributed Systems Laboratory, MCS/ANL
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Cel:    1-847-722-0876
Office: 1-312-567-5704
Email:  iraicu@xxxxxxxxxx
Web:    http://www.cs.iit.edu/~iraicu/
Web:    http://datasys.cs.iit.edu/
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