Cluster 2017

2017 IEEE International Conference on Cluster Computing (Cluster 2017)
Honolulu, Hawaii, USA
September 5-8, 2017

IMPORTANT DATES:
Submission deadline (extended): July 5, 2017
Acceptance notification: July 26, 2017
Conference: September 5-8, 2017

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

SUBMISSION GUIDELINES:
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).

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

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