[ecoop-info] IEEE Cluster 2017: Call for Posters !! DEADLINE EXTENSION !!

[Bhatele, Abhinav]

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

Submission deadline (extended): July 5, 2017 (AoE)
***********************************************************************

IEEE Cluster 2017 is soliciting submissions from academia, laboratory, and industry professionals to present their latest research findings and works-in-progress in all aspects of cluster, cloud, and grid technologies in the form of posters, which will be included in the conference proceedings.

The topics of interest are:

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

Submissions

Participants must submit a 2-page extended abstract (including references) describing the poster content, and the research ideas in the poster. If accepted, this extended abstract will be published in the proceedings of the conference. Posters will be prominently displayed and presented during a session in the conference. Additionally, posters will be made publicly available on the conference website.

The extended abstract should be structured similar to a technical paper, and may not exceed 2 letter-sized (8.5 x 11) pages including figures, tables and references using the IEEE format for conference proceedings (PDF, single-spaced, double column, 10pt text).

Please submit your poster via the submission system (https://easychair.org/conferences/?conf=ieeecluster2017).

Important Dates

  - Submission deadline (extended): July 5, 2017
  - Acceptance notification: July 26, 2017
  - Conference: September 5-8, 2017
  - Deadlines are Anywhere on Earth (AoE)

Posters Chair:
    Abhinav Bhatele, Lawrence Livermore National Laboratory, USA

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

____________________________________________________________
Abhinav Bhatele, people.llnl.gov/bhatele<http://people.llnl.gov/bhatele>
Center for Applied Scientific Computing, Lawrence Livermore National Laboratory