[hpc-announce] CfP: Special Issue of JPDC on "Data Intensive Computing", Submission: One month from Today
sbyna at nec-labs.com
Tue Dec 15 10:59:30 CST 2009
The paper submission deadline for the Special Issue of Journal of
Parallel and Distributed Computing (JPDC) on "Data Intensive Computing"
is a month from Today (January 15th 2010). We welcome your submissions.
We appreciate sharing this announcement with anyone who might be
NEC Labs America, Inc.
4 Independence Way, Suite 200
Department of Computer Science
Illinois Institute of Technology
Our apologies for duplicated copies for this CfP
Call for Papers:
Special Issue of Journal of Parallel and Distributed Computing on "Data
Data intensive computing is posing many challenges in exploiting
parallelism of current and upcoming computer architectures. Data volumes
of applications in the fields of sciences and engineering, finance,
media, online information resources, etc. are expected to double every
two years over the next decade and further. With this continuing data
explosion, it is necessary to store and process data efficiently by
utilizing enormous computing power that is available in the form of
multicore/manycore platforms. There is no doubt in the industry and
research community that the importance of data intensive computing has
been raising and will continue to be the foremost fields of research.
This raise brings up many research issues, in forms of capturing and
accessing data effectively and fast, processing it while still achieving
high performance and high throughput, and storing it efficiently for
future use. Programming for high performance yielding data intensive
computing is an important challenging issue. Expressing data access
requirements of applications and designing programming language
abstractions to exploit parallelism are at immediate need.
Application and domain specific optimizations are also parts of a viable
solution in data intensive computing. While these are a few examples of
issues, research in data intensive computing has become quite intense
during the last few years yielding strong results.
This special issue of the Journal Parallel and Distributed Computing
(JPDC) is seeking original unpublished research articles that describe
recent advances and efforts in the design and development of data
intensive computing, functionalities and capabilities that will benefit
Topics of interest include (but are not limited to):
* Data-intensive applications and their challenges
* Storage and file systems
* High performance data access toolkits
* Fault tolerance, reliability, and availability
* Meta-data management
* Remote data access
* Programming models, abstractions for data intensive computing
* Compiler and runtime support
* Data capturing, management, and scheduling techniques
* Future research challenges of data intensive computing
* Performance optimization techniques
* Replication, archiving, preservation strategies
* Real-time data intensive computing
* Network support for data intensive computing
* Challenges and solutions in the era of multi/many-core platforms
* Stream computing
* Green (Power efficient) data intensive computing
* Security and protection of sensitive data in collaborative
* Data intensive computing on accelerators and GPUs
Guide for Authors
Papers need not be solely abstract or conceptual in nature: proofs and
experimental results can be included as appropriate.
Authors should follow the JPDC manuscript format as described in the
"Information for Authors" at the end of each issue of JPDC or at
http://ees.elsevier.com/jpdc/ . The journal version will be reviewed as
per JPDC review process for special issues.
Paper Submission : January
Notification of Acceptance/Rejection : May 31, 2010
Final Version of the Paper : September 15,
All manuscripts and any supplementary material should be submitted
through Elsevier Editorial System (EES) at http://ees.elsevier.com/jpdc.
Authors must select "Special Issue: Data Intensive Computing" when they
reach the "Article Type" step in the submission process. First time
users must register themselves as Author. For the latest details of the
JPDC special issue see http://www.cs.iit.edu/~suren/jpdc.
Dr. Surendra Byna
NEC Labs America
E-mail: sbyna at nec-labs.com
Prof. Xian-He Sun
Illinois Institute of Technology
E-mail: sun at cs.iit.edu
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