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PDSW 2014 : The 9th Parallel Data Storage Workshop


Conference Series : Petascale Data Storage Workshop
When Nov 16, 2014 - Nov 16, 2014
Where New Orleans, Louisiana, USA
Submission Deadline Sep 6, 2014
Notification Due Sep 30, 2014
Final Version Due Oct 10, 2014
Categories    big data   storage   parallel   HPC

Call For Papers

The 9th Parallel Data Storage Workshop (PDSW14), held in conjunction with
IEEE/ACM Supercomputing (SC) 2014, New Orleans, Louisiana, 2014

PDF version of the CFP:

Peta- and exascale computing infrastructures make unprecedented demands on
storage capacity, performance, concurrency, reliability, availability, and
manageability. This one-day workshop focuses on the data storage and
management problems and emerging solutions found in peta- and exascale
scientific computing environments, with special attention to issues in
which community collaboration can be crucial for problem identification,
workload capture, solution interoperability, standards with community
buy-in, and shared tools.

Addressing storage media ranging from tape, HDD, and SSD, to emerging
storage devices like NVRAM, the workshop seeks contributions on relevant
topics, including but not limited to:

* performance and benchmarking
* failure tolerance problems and solutions
* APIs for high performance features
* parallel file systems
* high bandwidth storage architectures
* support for high velocity or complex data
* metadata intensive workloads
* autonomics for HPC storage
* virtualization for storage systems
* archival storage advances
* resource management innovations
* incorporation of emerging storage technologies
* workload study from production systems

Paper Submissions:

The Parallel Data Storage Workshop holds a peer reviewed competitive
process for selecting short papers. Submit a not previously published
short paper of up to 5 pages, not less than 10 point font and not
including references, in a PDF file as instructed on the workshop web
site. Submitted papers will be reviewed under the supervision of the
workshop program committee. Submissions should indicate authors and
affiliations. Final papers must not be longer than 5 pages (excluding
references). Selected papers and associated talk slides will be made
available on the workshop web site; the papers will also be published in
the digital library of the IEEE or ACM.

Paper Submission Deadline: EXTENDED TO 9pm PDT, September 6, 2014
Paper Notification: September 30, 2014
Camera Ready Due: October 10, 2014

Work-in-progress (WIP) Submissions:
There will also be a WIP session at the workshop, where presenters give
5-minute brief talks on their on-going work, with fresh
problems/solutions, but may not be mature or complete yet for paper
submission. A 1-page abstract is required as instructed on the workshop
web site.

WIP Submission Deadline: November 2, 2014
WIP Notification: November 7, 2014

Program Committee:

* Andre Brinkmann, Johannes Gutenberg-Universität Mainz, Germany
* Garth Gibson, Carnegie Mellon University and Panasas Inc., USA
* Dean Hildebrand, IBM, USA
* Hong Jiang, University of Nebraska, USA
* Youngjae Kim, Oak Ridge National Laboratory, USA
* Dries Kimpe (Chair), Argonne National Laboratory, USA
* Xiaosong Ma (Chair), Qatar Computing Research Institute, Qatar
* Carlos Maltzahn, University of California, Santa Cruz, USA
* Ron Oldfield, Sandia National Laboratories, USA
* Narasimha Reddy, Texas A&M University, USA
* Robert Ross, Argonne National Laboratory, USA
* Karsten Schwan, Georgia Tech, USA
* Matt Tolentino, Intel, USA
* Jin Xiong, ICT, Chinese Academy of Science, China

Related Resources

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IJE 2016   International Journal of Education
HPDC 2017   The 26th International ACM Symposium on High-Performance Parallel and Distributed Computing
IEEE BigComp 2017   [Deadline Extension Oct 21, 2016] 2017 IEEE International Conference on Big Data and Smart Computing
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DSAA 2017   The 4th IEEE International Conference on Data Science and Advanced Analytics 2017
ESANN 2017   25th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning
ParCo 2017   Parallel Computing Conference
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