[hpc-announce] Reminder: IEEE Cluster 2017 - Paper-Submission Deadline Fast Approaching

[Masaaki Kondo]

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Call for Papers
2017 IEEE International Conference on Cluster Computing (Cluster 2017)
Organized in cooperation with SIGHPC
September 5-8, 2017
Honolulu, Hawaii, USA
https://cluster17.github.io/

Abstract deadline: April 24th, 2017
Full Papers due: May 1st, 2017
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IEEE Cluster 2017 is the 19th edition of the IEEE Cluster conference
series, organized in
cooperation with SIGHPC.

Clusters are the primary architecture for building today's rapidly evolving
cloud and HPC
infrastructures, and are used to solve some of the most complex problems.
The challenge
to make them scalable, efficient, and more functional requires a community
effort in the
areas of cluster system design, management and monitoring, at the hardware,
system,
middleware and application levels.

Following the successes of previous IEEE Cluster conferences (
http://www.clustercomp.org/),
for IEEE Cluster 2017, which will be held September 05-08, 2016 in Hawaii
USA, we again
solicit high-quality original work that advances the state-of-the-art in
clusters and closely
related fields. All papers will be rigorously peer-reviewed for their
originality, technical
depth and correctness, potential impact, relevance to the conference, and
quality of
presentation. Research papers must clearly demonstrate novel research
contributions while
papers reporting experiences must clearly describe lessons learned and
impact, along with
the utility of the approach compared to previous ones.

2017 Highlight: Convergence of Big Data and High-Performance Computing.
While the tools
and cultures for High-Performance Computing and Big Data Analytics have
evolved in divergent
ways, both rely on cluster architectures. As we witness an increasing
awareness that further
progress in scientific research depends on both areas, the interoperability
and scaling
convergence of these two ecosystems is expected to be critical to the
future. Therefore,
we have chosen this year to highlight research topics in all areas expected
to bring progress
in understanding if, why and how clusters should support this convergence.
Specific topics
are dedicated to this direction within all conference areas alongside more
traditional topics.

Authors must indicate the primary area of preference out of the four areas
below. They may
optionally rank the other areas. The paper may be accepted as a full
10-page paper, or the
committee might decide to accept it as a short paper with 4 pages in the
proceedings.
Note: references are not counted in the above limits on the number of
pages.

Area 1: Application, Algorithms, and Libraries

    HPC and Big Data application studies on large-scale clusters
    Applications at the boundary of HPC and Big Data
    New applications for converged HPC/Big Data clusters
    Performance modeling and measurement
    Novel algorithms on clusters
    Hybrid programming techniques (e.g., MPI+OpenMP)
    Cluster benchmarks
    Application-level libraries on clusters
    Effective use of clusters in novel applications
    Performance evaluation tools

Area 2: Architecture, Network/Communications, and Management

    Node and system architecture for HPC and Big Data clusters
    Architecture for converged HPC/Big Data clusters
    Energy-efficient cluster architectures
    Packaging, power and cooling
    Accelerators/ManyCores and heterogeneous clusters
    Interconnect/memory architectures
    Single system/distributed image clusters
    Administration, monitoring and maintenance tools


Area 3: Programming and System Software

    Cluster system software/operating systems
    Programming models for converged HPC/Big Data systems
    System software supporting the convergence of HPC and Big Data
processing
    Cloud-enabling cluster technologies and virtualization
    Energy-efficient middleware
    Cluster system-level protocols and APIs
    Cluster security
    Resource and job management
    Programming and software development environments on clusters
    Fault tolerance and high-availability


Area 4: Data, Storage, and Visualization

    Cluster architectures for Big Data storage and processing
    Middleware for Big Data management
    Cluster-based cloud architectures for Big Data
    Storage systems supporting the convergence of HPC and Big Data
processing
    File systems and I/O libraries
    Support and integration of non-volatile memory
    Visualization clusters and tiled displays
    Big data visualization tools
    Programming models for big data processing
    Big data application studies on cluster architectures


Paper Submission:

Paper Format: Since the camera-ready version of accepted papers must be
compliant with the IEEE
Xplore format for publication, submitted papers must conform to the
following Xplore layout,
page limit, and font size.

 - Submissions must be in PDF format.
 - Submissions are required to be within 10 pages (Not counting
references).
 - Submissions must be single-spaced, 2-column numbered pages in IEEE
Xplore format
     (8.5x11-inch paper, margins in inches -- top:0.75, bottom:1.0,
sides:0.625, and
     between columns:0.25, main text:10pt).
 - Submissions are NOT double-blind. Author information can be included on
the submission
     and will be visible to the reviewers.
 - LaTeX and Word Templates are available here:

http://www.ieee.org/conferences_events/conferences/publishing/templates.html
 - Only web-based submissions are allowed.
 - Please submit your paper via the submission system:
     https://easychair.org/conferences/?conf=ieeecluster2017

Important dates:

 - Abstract deadline: April 24th, 2017
 - Full Papers due: May 1st, 2017 (Potential 7-10 days extension)
 - Paper Acceptance Notification: June 30th, 2017
 - Camera-ready deadline: T.B.D.
 - Conference: September 5 - 8, 2017
 - Deadlines are Anywhere on Earth (AoE)

Organizers:

General Co-chairs:
    Naoya Maruyama, Riken, Japan
    Todd Gamblin, Lawrence Livermore National Laboratory, USA

Program Co-chairs:
    Gabriel Antoniu, INRIA, France
    Richard Vuduc, Georgia Institute of Technology, USA

Area Chairs
    Michela Taufer, University of Delaware, USA and Aparna
Chandramowlishwaran, University of California, Irvine (Area 1)
    Frank Mueller, North Carolina State University, USA (Area 2)
    Kenjiro Taura, University of Tokyo, Japan (Area 3)
    Maria Perez, Universidad Politecnica de Madrid, Spain and Robert
Sisneros, UIUC, USA (Area 4)

Local Arrangements Chairs:
    Henri Cassanova, University of Hawaii, USA
    Lipyoew Lim, University of Hawaii, USA

The complete committee list is available here:
    https://cluster17.github.io/committees/
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