[hpc-announce] CFP: MTAGS 2015 @ IEEE/ACM Supercomputing/SC 2015 -- Final paper deadline on 09/18/2015

Sun Sep 13 09:13:04 CDT 2015

Call for Papers

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The 8th Workshop on Many-Task Computing on Clouds, Grids, and 
Supercomputers (MTAGS) 2015
http://datasys.cs.iit.edu/events/MTAGS15/
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November 15th, 2015
Austin, Texas, USA

Co-located with with IEEE/ACM International Conference for
High Performance Computing, Networking, Storage and Analysis (SC15)

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The 8th workshop on Many-Task Computing on Clouds, 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 theoretical, 
simulations, and systems topics related to MTC, but we give special 
consideration to papers addressing petascale to exascale challenges. 
Papers will be peer-reviewed for novelty, scientific merit, and scope 
for the workshop. The workshop will be co-located with the IEEE/ACM 
Supercomputing 2015 Conference in Austin Texas on November 15th, 2015. 
For more information, please see http://datasys.cs.iit.edu/events/MTAGS15/.

For more information on past workshops, please see MTAGS14, MTAGS13, 
MTAGS12, MTAGS11, 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 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 are also currently assembling a new special issue in the IEEE 
Transaction on Cloud Computing on Many-Task Computing in the Cloud, see 
http://datasys.cs.iit.edu/events/TCC-MTC15/index.html for more 
information. We, the workshop organizers, also published a highly 
relevant paper that defines Many-Task Computing which was published in 
MTAGS08,titled “Many-Task Computing for Grids and Supercomputers”; we 
encourage potential authors to read this paper, and to clearly 
articulate in your paper submissions how your papers are related to 
Many-Task Computing.

Topics
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We invite the submission of original work that is related to the topics 
below. The papers should be 6 pages, including all figures and 
references.We aim to cover topics related to Many-Task Computing on each 
of the three major distributed systems paradigms, Cloud Computing, Grid 
Computing and Supercomputing. Topics of interest include:
* 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

Paper Submission and Publication
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Authors are invited to submit papers with unpublished, original work of 
not more than 6 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; 
document templates can be found at 
http://www.acm.org/sigs/publications/proceedings-templates. The final 6 
page papers in PDF format must be submitted online at 
https://cmt.research.microsoft.com/MTAGS2015/ before the deadline. 
Papers will be peer-reviewed for novelty, scientific merit, and scope 
for the workshop. Submission implies the willingness of at least one of 
the authors to register and present the paper. For more information, 
please see http://datasys.cs.iit.edu/events/MTAGS15/.

Important Dates
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* Full paper due: September 18th, 2015
* Acceptance notification: October 2nd, 2015
* Early Registration deadline: October 15th, 2015
* Final papers due: November 6th, 2015
* Workshop date: November 15th, 2015

Committee Members
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Workshop Chairs
* Ioan Raicu, Illinois Institute of Technology & Argonne National Laboratory
* Justin Wozniak, University of Chicago & Argonne National Laboratory
* Ian Foster, University of Chicago & Argonne National Laboratory
* Yong Zhao, University of Electronic Science and Technology of China

Steering Committee
* David Abramson, Monash University, Australia
* Jack Dongarra, 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

Technical Committee
* Hasan Abbasi, Oak Ridge National Labs, USA
* Tim Armstrong, University of Chicago, USA
* Roger Barga, Microsoft, USA
* Mihai Budiu, Microsoft Research, USA
* Rajkumar Buyya University of Melbourne, Australia
* Kyle Chard, University of Chicago, USA
* Evangelinos Constantinos, Massachusetts Institute of Technology, USA
* Catalin Dumitrescu, Fermi National Labs, USA
* Haryadi Gunawi, University of Chicago, USA
* Indranil Gupta, University of Illinois at Urbana Champaign, USA
* Alexandru Iosup, Delft University of Technology, Netherlands
* Florin Isaila, Universidad Carlos III de Madrid, Spain & Argonne 
National Laboratory, USA
* Kamil Iskra, Argonne National Laboratory, USA
* Daniel S. Katz, University of Chicago, USA
* Jik-Soo Kim, Kristi, Korea
* Scott A. Klasky, Oak Ridge National Labs, USA
* Mike Lang, Los Alamos National Laboratory, USA
* Tonglin Li, Illinois Institute of Technology, USA
* Chris Moretti, Princeton University, USA
* David O'Hallaron, Carnegie Mellon University, 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
* Iman Sadooghi, Illinois Institute of Technology, USA
* Wei Tang, Argonne National Laboratory, USA
* Edward Walker, Whitworth University, USA
* Ke Wang, Illinois Institute of Technology, USA
* Matthew Woitaszek, Walmart Labs, USA
* Rich Wolski, University of California, Santa Barbara, USA
* Zhifeng Yun, University of Houston, USA
* Zhao Zhang, University of California at Berkeley, USA
* Ziming Zheng, University of Chicago, 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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Editor: IEEE TCC, Springer Cluster, Springer JoCCASA
Chair: IEEE/ACM MTAGS, ACM ScienceCloud
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Office: 1-312-567-5704
Email: iraicu at cs.iit.edu
Web: http://www.cs.iit.edu/~iraicu/
Web: http://datasys.cs.iit.edu/
LinkedIn: http://www.linkedin.com/in/ioanraicu
Google: http://scholar.google.com/citations?user=jE73HYAAAAAJ
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