[hpc-announce] Call for papers: MTAGS16: 9th Workshop on Many-Task Computing on Clouds, Grids, and Supercomputers

Mon Jul 18 11:46:32 CDT 2016

Call for Papers

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MTAGS16: 9th Workshop on Many-Task Computing on Clouds, Grids, and
Supercomputers
https://sites.google.com/site/mtags2016/
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November 14th, 2016
Salt Lake City, Utah, USA

In cooperation with ACM SIGHPC. Held in conjunction with SC16:  The
International Conference on High Performance Computing, Networking, Storage
and Analysis.

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The 9th 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,
clouds, grids, and supercomputers. MTC, the theme of the workshop
encompasses loosely coupled applications, which are generally composed of
many 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 in theoretical, simulations, and systems topics with
special consideration to papers addressing the intersection of
petascale/exascale challenges with large-scale cloud computing. Papers will
be peer-reviewed, and accepted papers will be published in the workshop
proceedings as part of the ACM SIGHPC. The workshop will be held in
conjunction with SC16:  The International Conference on High Performance
Computing, Networking, Storage and Analysis, in Salt Lake City on November
14th, 2016. For more information, please see
https://sites.google.com/site/mtags2016/.

For more information on past workshops, please see MTAGS15, 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):
http://www.computer.org/portal/web/csdl/abs/trans/td/2011/06/ttd201106toc.htm
.
In addition, we are running a special issue on Many-Task Computing in the
Cloud in the IEEE Transaction on Cloud Computing:
http://datasys.cs.iit.edu/events/TCC-MTC15/. 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 IEEE 8.5 x 11 manuscript guidelines;
document templates can be found at
http://www.ieee.org/conferences_events/conferences/publishing/templates.html.
The final 6 page papers in PDF format must be submitted online at
easychair: https://easychair.org/conferences/?conf=mtags16 before the
deadline. Papers will be peer-reviewed for novelty, scientific merit, and
scope for the workshop, and accepted papers will be published in the
workshop proceedings as part of the ACM digital library. Submission implies
the willingness of at least one of the authors to register and present the
paper.

Important Dates
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* Papers Due: August 28th, 2016
* Notification of Acceptance: September 30th, 2016
* Camera Ready Papers Due: October 14th, 2016
* Workshop Date: November 14th, 2014

Committee Members
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Workshop Chairs
* Ke Wang, Enterprise & HPC Platform Group, Intel, Hillsboro, OR, USA
* Justin Wozniak, University of Chicago & Argonne National Laborator
* Ioan Raicu, Illinois Institute of Technology & Argonne National
Laboratory, USA

Steering Committee
* David Abramson, Monash University, Australia
* Ian Foster, University of Chicago & Argonne National Laboratory
* Yong Zhao, University of Electronic Science and Technology of China
* 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 (unconfirmed)
* James Hamilton, Amazon Web Services, USA
* Kamil Iskra, Argonne National Laboratory
* Pete Beckman, Argonne National Laboratory
* Rob Ross, Argonne National Labs
* David O'Hallaron, Carnegie Mellon University, Intel Labs, USA
* Hakim Weatherspoon, Cornell University, USA
* Alexandru Iosup, Delft University of Technology, Netherlands
* Jeff Chase, Duke University, USA
* Catalin Dumitrescu, Fermi National Labs
* Jeff Dean, Google, Inc., USA
* Alan Gara, IBM Research, USA
* Jose Moreira, IBM Research, USA
* Zhiling Lan, Illinois Institute of Technology
* Marlon Pierce, Indiana University, USA
* Geoffrey Fox, Indiana University, USA
* Lavanya Ramakrishnan, Lawrence Berkeley National Laboratory
* Tevfik Kosar, Louisiana State University, USA
* Evangelinos Constantinos, Massachusetts Institute of Technology
* Tony Hey, Microsoft Research, USA
* Alec Wolman, Microsoft Research, USA
* Dan Reed, Microsoft Research, USA
* Dennis Gannon, Microsoft Research, USA
* Michael Isard, Microsoft Research, USA
* Mihai Budiu, Microsoft Research, USA
* David Abramson, Monash University, Australia
* Kento Aida, NII and Tokyo Institute of Technology
* Alok Choudhary, Northwestern University, USA
* Peter Dinda, Northwestern University, USA
* Arthur Maccabe, Oak Ridge National Labs
* Manish Parashar, Rutgers University
* Valerie Taylor, Texas A&M
* Edward Walker, Texas Advanced Computing Center
* Matthew Woitaszek, The University Coorporation for Atmospheric Research
* Florin Isaila, Universidad Carlos III de Madrid
* Ignacio Llorente, Universidad Complutense de Madrid, Spain
* Matei Ripeanu, University of British Columbia, Canada
* Kathy Yelick, University of California at Berkeley, USA
* Ken Yocum, University of California, San Diego
* Rich Wolski, University of California, Santa Barbara, USA
* Mike Wilde, University of Chicago & Argonne National Laboratory, USA
* Daniel Katz, University of Chicago, USA
* Henri Casanova, University of Hawai`i at Manoa
* Robert Grossman, University of Illinois at Chicago, USA
* Indranil Gupta, University of Illinois at Urbana Champaign
* Marc Snir, University of Illinois at Urbana Champaign, USA
* Rajkumar Buyya, University of Melbourne
* Reagan Moore, University of North Carolina, Chappel Hill, USA
* Douglas Thain, University of Notre Dame, USA
* Adriana Iamnitchi, University of South Florida, USA
* Ewa Deelman, University of Southern California
* Ann Chervenak, University of Southern California, USA
* Carl Kesselman, University of Southern California, USA
* Ed Lazowska, University of Washington, USA
* Alain Roy, University of Wisconsin
* Miron Livny, University of Wisconsin, Madison, USA
* Remzi Arpaci-Dusseau, University of Wisconsin, Madison, USA
* Larry Rudolph, VMware, USA
* Brian Cooper, Yahoo! Research, USA
* Jik-Soo Kim, Korea Institute of Science and Technology Information,
Daejeon, Republic of Korea
* Scott Klasky Oak Ridge National Laboratory, USA
* Mike Boros, Cray, USA

-- 
============================================================
Ke Wang, Ph.D.
Software Engineer, Intel Corporation, USA
============================================================
*Cel:*
1-312-532-2105
*Addr:*
2501 NW 229th Ave
RA2-4-D8
Hillsboro, OR 97124, USA
*Email:*
*kwang22 at hawk.iit.edu <kewangiit at gmail.com>*
*kewangiit at gmail.com <kewangiit at gmail.com> *
*Web:*
http://datasys.cs.iit/~kewang/ <http://datasys.cs.iit.edu/~kewang/>
http://datasys.cs.iit.edu/
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